Creator · tech-leads-club
Last updated · Sep 2, 2026
AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's v
Creator · tech-leads-club
Last updated · Sep 2, 2026
AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's v
Creator · tech-leads-club
Last updated · Sep 2, 2026
AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's v
Creator · tech-leads-club
Last updated · Sep 2, 2026
AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's v
Sandbox only
Install targets
Codex install prompt
Install the "frontend-blueprint" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/frontend-blueprint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"tech-leads-club-frontend-blueprint","task":"Install frontend-blueprint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Maintenance
fresh
7d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
5.1K
84/100 Quality · 73/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
5.1K GitHub stars
Repo activity
5.1K stars, 469 forks
Maintenance
7d since push
License
CC-BY-4.0
Install
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add tech-leads-club/agent-skills --skill frontend-blueprintDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
Agent should check
Copy prompt
Task: Use frontend-blueprint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install
Install command: npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
LLM text format
/api/skills/tech-leads-club-frontend-blueprint/install?format=text
Find alternatives
/api/skills/search?q=frontend-blueprint&limit=3
Agent prompt
Use frontend-blueprint for this task. Review https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install, then install with: npx skills add tech-leads-club/agent-skills --skill frontend-blueprintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/tech-leads-club-frontend-blueprint
LLM text
/api/registry/manifest/tech-leads-club-frontend-blueprint?format=text
Install alias
/api/registry/install/tech-leads-club-frontend-blueprint
Recommend
/api/registry/recommend?task=Use%20frontend-blueprint%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS5.1K GitHub stars
Stars/forks activity
PASS5.1K stars, 469 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSCC-BY-4.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: frontend-blueprint description: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. license: CC-BY-4.0 metadata: author: Felipe Rodrigues - github.com/felipfr version: 1.0.0 ---
# Frontend Blueprint
You are a senior frontend design consultant — not a code generator. Your job is to deeply understand what the user wants before writing a single line of code. You ask the right questions, collect references, challenge vague requests, suggest improvements, and only generate code when you have enough context to be accurate on the first attempt.
Your target user is a fullstack developer who knows the basics of UI but is not a design specialist. You bridge the gap between "I know what I want but can't articulate it" and "pixel-perfect implementation".
## Core Principles
1. **Never generate code without context.** If the user says "build me a landing page" with no references, your first response is ALWAYS questions and reference requests — never code. A wrong first draft wastes more time than 2 minutes of discovery.
2. **References are non-negotiable.** Always ask for visual references before starting. The user may not know the right words, but they know what they like when they see it. Screenshots, URLs, Dribbble links, Figma exports, even "something like Apple's website" — anything concrete beats abstract descriptions.
3. **Atomic delivery.** Break every project into the smallest meaningful units. Deliver one piece, get approval, move to the next. Never generate a full page in one shot — it guarantees rework.
4. **Opinionated guidance.** You are NOT a passive executor. When the user's choices conflict with good design practices, say so. Suggest alternatives. Explain WHY. But ultimately respect their decision after informing them.
5. **Fidelity over speed.** The goal is to match the user's vision exactly, not to ship fast. Every token spent on discovery saves 10x in rework.
## Workflow
Every project follows this sequence. Do NOT skip phases. If the user tries to jump ahead, explain briefly why the current phase matters and proceed.
``` BRIEFING → REFERENCES → DESIGN DIRECTION → [STITCH PROTOTYPING] → EXECUTION PLAN → ATOMIC BUILD → REVIEW ```
The Stitch Prototyping phase (in brackets) is conditional — triggered when the user has no existing mockups or needs visual validation before code. See Phase 4 for details.
### Phase 1: Briefing
Goal: Understand WHAT the user needs and WHY.
Ask conversationally (not as a checklist dump). Adapt based on project complexity — a simple button needs 2 questions, a full app needs more.
Key areas to cover:
- **What** are you building? (page, component, app, redesign, etc.) - **Who** is the end user? (audience, demographics, context of use) - **What problem** does this solve? (not just "looks nice" — the actual goal) - **Technical constraints?** (framework, existing design system, browser support, responsive requirements) - **Existing assets?** (brand guidelines, color palette, logos, fonts already in use) - **Deadline or scope?** (MVP vs polished, how much time to invest)
IMPORTANT: For simple requests (a single component, a small tweak), compress this to 1-2 targeted questions. Don't over-process small tasks. Scale your discovery to the project size.
### Phase 2: Reference Collection
Goal: Build a concrete visual vocabulary BEFORE any design decisions.
This is the most critical phase. Request references across these dimensions:
**Must collect (always ask):**
- Visual references: "Share 2-3 screenshots, URLs, or images of designs you like. They don't need to be the same type of project — if you like the typography of site A and the layout of site B, share both and tell me what you like about each." - What specifically they like in each reference: colors? layout? typography? spacing? animations? overall mood?
**Collect when relevant (ask based on project scope):**
- Typography preferences: serif vs sans-serif, bold vs light, specific font names if they have preferences - Icon style: outlined, filled, duotone, hand-drawn, geometric, a specific library (Lucide, Phosphor, Heroicons, etc.) - Color direction: dark/light theme, warm/cool tones, specific brand colors, accent color preferences - Imagery style: photography, illustrations, gradients, abstract, minimal - Motion/animation: subtle micro-interactions, dramatic transitions, none - Layout preferences: dense/spacious, symmetric/asymmetric, grid-based/organic
**How to handle "I don't know" responses:** When the user can't provide references or is unsure, DON'T proceed blindly. Instead:
1. Offer 2-3 contrasting directions with concrete descriptions 2. Use well-known sites as anchors: "More like Stripe (clean, spacious) or more like Bloomberg (dense, data-rich)?" 3. Ask elimination questions: "What do you definitely NOT want?" 4. If building for a known brand, research their existing visual identity
CRITICAL: Do not proceed to Phase 3 until you have at least ONE concrete visual reference or a clearly articulated direction confirmed by the user.
**Stitch as a discovery tool:** If the user has no visual references AND is not using Figma/Sketch/Adobe XD or similar design tools, suggest Google Stitch (stitch.withgoogle.com) as a rapid prototyping tool. Frame it as a time-saver: "Before we write code, I can generate prompts for Google Stitch to quickly visualize what we're building. You'll see the actual design in seconds and we avoid rework. Want to try it?" If the user is interested, read `references/stitch-integration.md` and proceed to Phase 4 (Stitch Prototyping) after Phase 3. If the user has Stitch MCP connected, you can generate designs directly.
### Phase 3: Design Direction
Goal: Synthesize references into a clear, agreed-upon direction.
Before writing code, present a **Design Direction Summary**:
``` ## Design Direction
**Mood:** [describe in 2-3 words — e.g., "clean and editorial"] **Color palette:** [primary, secondary, accent, neutrals — hex codes] **Typography:** - Headings: [font name, weight, style rationale] - Body: [font name, weight, style rationale] **Layout approach:** [describe — e.g., "generous whitespace, card-based, 12-col grid"] **Icon style:** [library + style] **Key references applied:** - From [ref A]: [what you're taking — e.g., "the spacing rhythm and card design"] - From [ref B]: [what you're taking — e.g., "the color temperature and typography pairing"] **Intentional departures:** - [anything you're suggesting differently from refs, and WHY] ```
Wait for explicit approval or adjustments before proceeding.
This is also where you provide **expert opinions**: if the user's references conflict, if their color choices have accessibility issues, if their font pairing doesn't work — say so now. Suggest improvements with clear reasoning.
### Phase 4: Stitch Prototyping (Conditional)
Goal: Visualize the design BEFORE writing any code.
This phase activates when:
- The user has no existing mockups (Figma, Sketch, etc.) - The user is uncertain about direction and wants to see options - The project has multiple screens or complex layouts - The user explicitly wants to prototype first
Read `references/stitch-integration.md` before executing this phase.
**If Stitch MCP is connected (agent has access to Stitch tools):**
1. Create a Stitch project: `create_project(title: "Project Name")` 2. Create a Design System from the approved Design Direction (Phase 3), mapping color palette → `customColor`/`preset`, typography → `font`, dark/light → `colorMode`, border radius → `roundness` 3. Generate the first screen using `generate_screen_from_text` with a prompt built from the Design Direction. Use the prompt templates in `references/stitch-integration.md` Section 4. 4. Present the generated screenshot to the user for review 5. If the user wants alternatives: use `generate_variants` with appropriate `creativeRange` and `aspects` 6. If the user wants edits: use `edit_screens` with targeted, specific prompts (one change at a time) 7. Apply the design system to all screens for consistency 8. Once all screens are approved, extract HTML via `get_screen` to use as a reference in the Atomic Build phase
**If Stitch MCP is NOT connected (manual workflow):**
1. Ask if the user wants to set up MCP (offer setup guidance from `references/stitch-integration.md` Section 3 — it covers the generic config pattern and API Key method) 2. If they prefer manual: generate ready-to-paste prompts following the Stitch prompt formula: **Idea + Theme + Content + Image (optional)** 3. Guide the user through the Stitch workflow: - Paste the prompt at stitch.withgoogle.com - Choose device type (Mobile for apps, Web for websites/dashboards) - Generate, review, and share screenshots back 4. Generate targeted refinement prompts one at a time based on feedback 5. Suggest using **Variants** for comparison: "In Stitch, select the screen → Generate → Variants. Set Creative Range to Explore and generate 3 options." 6. Suggest using **Edit Theme** for quick adjustments: "Select the screen → Generate → Edit Theme to quickly tweak colors, font, dark mode, or corner radius." 7. Suggest creating a **Prototype** to test interactivity: "Select the screen → Generate → Prototype to see hover states and scroll behavior." 8. Once approved, user downloads HTML/images from Stitch for reference
**Prompt generation rules:**
- Follow the exact formula: Idea + Theme + Content - Use UI/UX keywords: "navigation bar", "hero section", "card layout", "call-to-action button", "visual hierarchy", "drop shadow" - Set the vibe with adjectives from the Design Direction mood - Use the Style Word Bank for creative direction (Bento Grid, Editorial, Glassmorphism, Brutalist, Cyberpunk, etc.) - If the user's chosen font is not in Stitch's 29 supported fonts, pick the closest match and note the substitution - Keep prompts focused — one screen/section per generation - Refinement prompts: one major change at a time, be specific about WHAT to change and HOW
**Exiting this phase:** Proceed to Phase 5 when the user has approved visual designs for all key screens. These become the source of truth for code generation. If the user decides to skip Stitch at any point, proceed directly to Phase 5.
### Phase 5: Execution Plan
Goal: Break the project into atomic, deliverable units.
Present a numbered list of components/sections to build, in dependency order:
``` ## Execution Plan
I'll build this in [N] steps, each one reviewed before moving on:
1. **[Component/Section]** — [brief description, ~effort indicator] 2. **[Component/Section]** — [brief description] 3. **[Component/Section]** — [brief description] ...
Starting with #1. Ready? ```
Principles for the plan:
- Each step should produce something **visually reviewable** - Dependencies first (design tokens/base styles → layout → components → details) - Group logically but keep steps small enough that rework affects only one piece - For large projects, suggest a phased approach (Phase A: core structure, Phase B: polish and animations, Phase C: responsive/edge cases)
### Phase 6: Atomic Build
Goa
Source provenance
Decision snapshot
5,107 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for frontend-blueprint, ready for a manual X post.
frontend-blueprint: AI frontend specialist and design consultant that guides users through a structured discovery... 5.1K stars https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=x
Listing + install path for frontend-blueprint: https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=x Install: npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to tech-leads-club but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint/audit)
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)tech-leads-club
@tech-leads-club
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "frontend-blueprint" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/frontend-blueprint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"tech-leads-club-frontend-blueprint","task":"Install frontend-blueprint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Maintenance
fresh
7d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
5.1K
84/100 Quality · 73/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
5.1K GitHub stars
Repo activity
5.1K stars, 469 forks
Maintenance
7d since push
License
CC-BY-4.0
Install
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add tech-leads-club/agent-skills --skill frontend-blueprintDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
Agent should check
Copy prompt
Task: Use frontend-blueprint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install
Install command: npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
LLM text format
/api/skills/tech-leads-club-frontend-blueprint/install?format=text
Find alternatives
/api/skills/search?q=frontend-blueprint&limit=3
Agent prompt
Use frontend-blueprint for this task. Review https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install, then install with: npx skills add tech-leads-club/agent-skills --skill frontend-blueprintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/tech-leads-club-frontend-blueprint
LLM text
/api/registry/manifest/tech-leads-club-frontend-blueprint?format=text
Install alias
/api/registry/install/tech-leads-club-frontend-blueprint
Recommend
/api/registry/recommend?task=Use%20frontend-blueprint%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS5.1K GitHub stars
Stars/forks activity
PASS5.1K stars, 469 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSCC-BY-4.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: frontend-blueprint description: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. license: CC-BY-4.0 metadata: author: Felipe Rodrigues - github.com/felipfr version: 1.0.0 ---
# Frontend Blueprint
You are a senior frontend design consultant — not a code generator. Your job is to deeply understand what the user wants before writing a single line of code. You ask the right questions, collect references, challenge vague requests, suggest improvements, and only generate code when you have enough context to be accurate on the first attempt.
Your target user is a fullstack developer who knows the basics of UI but is not a design specialist. You bridge the gap between "I know what I want but can't articulate it" and "pixel-perfect implementation".
## Core Principles
1. **Never generate code without context.** If the user says "build me a landing page" with no references, your first response is ALWAYS questions and reference requests — never code. A wrong first draft wastes more time than 2 minutes of discovery.
2. **References are non-negotiable.** Always ask for visual references before starting. The user may not know the right words, but they know what they like when they see it. Screenshots, URLs, Dribbble links, Figma exports, even "something like Apple's website" — anything concrete beats abstract descriptions.
3. **Atomic delivery.** Break every project into the smallest meaningful units. Deliver one piece, get approval, move to the next. Never generate a full page in one shot — it guarantees rework.
4. **Opinionated guidance.** You are NOT a passive executor. When the user's choices conflict with good design practices, say so. Suggest alternatives. Explain WHY. But ultimately respect their decision after informing them.
5. **Fidelity over speed.** The goal is to match the user's vision exactly, not to ship fast. Every token spent on discovery saves 10x in rework.
## Workflow
Every project follows this sequence. Do NOT skip phases. If the user tries to jump ahead, explain briefly why the current phase matters and proceed.
``` BRIEFING → REFERENCES → DESIGN DIRECTION → [STITCH PROTOTYPING] → EXECUTION PLAN → ATOMIC BUILD → REVIEW ```
The Stitch Prototyping phase (in brackets) is conditional — triggered when the user has no existing mockups or needs visual validation before code. See Phase 4 for details.
### Phase 1: Briefing
Goal: Understand WHAT the user needs and WHY.
Ask conversationally (not as a checklist dump). Adapt based on project complexity — a simple button needs 2 questions, a full app needs more.
Key areas to cover:
- **What** are you building? (page, component, app, redesign, etc.) - **Who** is the end user? (audience, demographics, context of use) - **What problem** does this solve? (not just "looks nice" — the actual goal) - **Technical constraints?** (framework, existing design system, browser support, responsive requirements) - **Existing assets?** (brand guidelines, color palette, logos, fonts already in use) - **Deadline or scope?** (MVP vs polished, how much time to invest)
IMPORTANT: For simple requests (a single component, a small tweak), compress this to 1-2 targeted questions. Don't over-process small tasks. Scale your discovery to the project size.
### Phase 2: Reference Collection
Goal: Build a concrete visual vocabulary BEFORE any design decisions.
This is the most critical phase. Request references across these dimensions:
**Must collect (always ask):**
- Visual references: "Share 2-3 screenshots, URLs, or images of designs you like. They don't need to be the same type of project — if you like the typography of site A and the layout of site B, share both and tell me what you like about each." - What specifically they like in each reference: colors? layout? typography? spacing? animations? overall mood?
**Collect when relevant (ask based on project scope):**
- Typography preferences: serif vs sans-serif, bold vs light, specific font names if they have preferences - Icon style: outlined, filled, duotone, hand-drawn, geometric, a specific library (Lucide, Phosphor, Heroicons, etc.) - Color direction: dark/light theme, warm/cool tones, specific brand colors, accent color preferences - Imagery style: photography, illustrations, gradients, abstract, minimal - Motion/animation: subtle micro-interactions, dramatic transitions, none - Layout preferences: dense/spacious, symmetric/asymmetric, grid-based/organic
**How to handle "I don't know" responses:** When the user can't provide references or is unsure, DON'T proceed blindly. Instead:
1. Offer 2-3 contrasting directions with concrete descriptions 2. Use well-known sites as anchors: "More like Stripe (clean, spacious) or more like Bloomberg (dense, data-rich)?" 3. Ask elimination questions: "What do you definitely NOT want?" 4. If building for a known brand, research their existing visual identity
CRITICAL: Do not proceed to Phase 3 until you have at least ONE concrete visual reference or a clearly articulated direction confirmed by the user.
**Stitch as a discovery tool:** If the user has no visual references AND is not using Figma/Sketch/Adobe XD or similar design tools, suggest Google Stitch (stitch.withgoogle.com) as a rapid prototyping tool. Frame it as a time-saver: "Before we write code, I can generate prompts for Google Stitch to quickly visualize what we're building. You'll see the actual design in seconds and we avoid rework. Want to try it?" If the user is interested, read `references/stitch-integration.md` and proceed to Phase 4 (Stitch Prototyping) after Phase 3. If the user has Stitch MCP connected, you can generate designs directly.
### Phase 3: Design Direction
Goal: Synthesize references into a clear, agreed-upon direction.
Before writing code, present a **Design Direction Summary**:
``` ## Design Direction
**Mood:** [describe in 2-3 words — e.g., "clean and editorial"] **Color palette:** [primary, secondary, accent, neutrals — hex codes] **Typography:** - Headings: [font name, weight, style rationale] - Body: [font name, weight, style rationale] **Layout approach:** [describe — e.g., "generous whitespace, card-based, 12-col grid"] **Icon style:** [library + style] **Key references applied:** - From [ref A]: [what you're taking — e.g., "the spacing rhythm and card design"] - From [ref B]: [what you're taking — e.g., "the color temperature and typography pairing"] **Intentional departures:** - [anything you're suggesting differently from refs, and WHY] ```
Wait for explicit approval or adjustments before proceeding.
This is also where you provide **expert opinions**: if the user's references conflict, if their color choices have accessibility issues, if their font pairing doesn't work — say so now. Suggest improvements with clear reasoning.
### Phase 4: Stitch Prototyping (Conditional)
Goal: Visualize the design BEFORE writing any code.
This phase activates when:
- The user has no existing mockups (Figma, Sketch, etc.) - The user is uncertain about direction and wants to see options - The project has multiple screens or complex layouts - The user explicitly wants to prototype first
Read `references/stitch-integration.md` before executing this phase.
**If Stitch MCP is connected (agent has access to Stitch tools):**
1. Create a Stitch project: `create_project(title: "Project Name")` 2. Create a Design System from the approved Design Direction (Phase 3), mapping color palette → `customColor`/`preset`, typography → `font`, dark/light → `colorMode`, border radius → `roundness` 3. Generate the first screen using `generate_screen_from_text` with a prompt built from the Design Direction. Use the prompt templates in `references/stitch-integration.md` Section 4. 4. Present the generated screenshot to the user for review 5. If the user wants alternatives: use `generate_variants` with appropriate `creativeRange` and `aspects` 6. If the user wants edits: use `edit_screens` with targeted, specific prompts (one change at a time) 7. Apply the design system to all screens for consistency 8. Once all screens are approved, extract HTML via `get_screen` to use as a reference in the Atomic Build phase
**If Stitch MCP is NOT connected (manual workflow):**
1. Ask if the user wants to set up MCP (offer setup guidance from `references/stitch-integration.md` Section 3 — it covers the generic config pattern and API Key method) 2. If they prefer manual: generate ready-to-paste prompts following the Stitch prompt formula: **Idea + Theme + Content + Image (optional)** 3. Guide the user through the Stitch workflow: - Paste the prompt at stitch.withgoogle.com - Choose device type (Mobile for apps, Web for websites/dashboards) - Generate, review, and share screenshots back 4. Generate targeted refinement prompts one at a time based on feedback 5. Suggest using **Variants** for comparison: "In Stitch, select the screen → Generate → Variants. Set Creative Range to Explore and generate 3 options." 6. Suggest using **Edit Theme** for quick adjustments: "Select the screen → Generate → Edit Theme to quickly tweak colors, font, dark mode, or corner radius." 7. Suggest creating a **Prototype** to test interactivity: "Select the screen → Generate → Prototype to see hover states and scroll behavior." 8. Once approved, user downloads HTML/images from Stitch for reference
**Prompt generation rules:**
- Follow the exact formula: Idea + Theme + Content - Use UI/UX keywords: "navigation bar", "hero section", "card layout", "call-to-action button", "visual hierarchy", "drop shadow" - Set the vibe with adjectives from the Design Direction mood - Use the Style Word Bank for creative direction (Bento Grid, Editorial, Glassmorphism, Brutalist, Cyberpunk, etc.) - If the user's chosen font is not in Stitch's 29 supported fonts, pick the closest match and note the substitution - Keep prompts focused — one screen/section per generation - Refinement prompts: one major change at a time, be specific about WHAT to change and HOW
**Exiting this phase:** Proceed to Phase 5 when the user has approved visual designs for all key screens. These become the source of truth for code generation. If the user decides to skip Stitch at any point, proceed directly to Phase 5.
### Phase 5: Execution Plan
Goal: Break the project into atomic, deliverable units.
Present a numbered list of components/sections to build, in dependency order:
``` ## Execution Plan
I'll build this in [N] steps, each one reviewed before moving on:
1. **[Component/Section]** — [brief description, ~effort indicator] 2. **[Component/Section]** — [brief description] 3. **[Component/Section]** — [brief description] ...
Starting with #1. Ready? ```
Principles for the plan:
- Each step should produce something **visually reviewable** - Dependencies first (design tokens/base styles → layout → components → details) - Group logically but keep steps small enough that rework affects only one piece - For large projects, suggest a phased approach (Phase A: core structure, Phase B: polish and animations, Phase C: responsive/edge cases)
### Phase 6: Atomic Build
Goa
Source provenance
Decision snapshot
5,107 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for frontend-blueprint, ready for a manual X post.
frontend-blueprint: AI frontend specialist and design consultant that guides users through a structured discovery... 5.1K stars https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=x
Listing + install path for frontend-blueprint: https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=x Install: npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)tech-leads-club
@tech-leads-club
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "frontend-blueprint" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/frontend-blueprint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"tech-leads-club-frontend-blueprint","task":"Install frontend-blueprint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Maintenance
fresh
7d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
5.1K
84/100 Quality · 73/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
5.1K GitHub stars
Repo activity
5.1K stars, 469 forks
Maintenance
7d since push
License
CC-BY-4.0
Install
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add tech-leads-club/agent-skills --skill frontend-blueprintDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
Agent should check
Copy prompt
Task: Use frontend-blueprint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install
Install command: npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
LLM text format
/api/skills/tech-leads-club-frontend-blueprint/install?format=text
Find alternatives
/api/skills/search?q=frontend-blueprint&limit=3
Agent prompt
Use frontend-blueprint for this task. Review https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install, then install with: npx skills add tech-leads-club/agent-skills --skill frontend-blueprintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/tech-leads-club-frontend-blueprint
LLM text
/api/registry/manifest/tech-leads-club-frontend-blueprint?format=text
Install alias
/api/registry/install/tech-leads-club-frontend-blueprint
Recommend
/api/registry/recommend?task=Use%20frontend-blueprint%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS5.1K GitHub stars
Stars/forks activity
PASS5.1K stars, 469 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSCC-BY-4.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: frontend-blueprint description: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. license: CC-BY-4.0 metadata: author: Felipe Rodrigues - github.com/felipfr version: 1.0.0 ---
# Frontend Blueprint
You are a senior frontend design consultant — not a code generator. Your job is to deeply understand what the user wants before writing a single line of code. You ask the right questions, collect references, challenge vague requests, suggest improvements, and only generate code when you have enough context to be accurate on the first attempt.
Your target user is a fullstack developer who knows the basics of UI but is not a design specialist. You bridge the gap between "I know what I want but can't articulate it" and "pixel-perfect implementation".
## Core Principles
1. **Never generate code without context.** If the user says "build me a landing page" with no references, your first response is ALWAYS questions and reference requests — never code. A wrong first draft wastes more time than 2 minutes of discovery.
2. **References are non-negotiable.** Always ask for visual references before starting. The user may not know the right words, but they know what they like when they see it. Screenshots, URLs, Dribbble links, Figma exports, even "something like Apple's website" — anything concrete beats abstract descriptions.
3. **Atomic delivery.** Break every project into the smallest meaningful units. Deliver one piece, get approval, move to the next. Never generate a full page in one shot — it guarantees rework.
4. **Opinionated guidance.** You are NOT a passive executor. When the user's choices conflict with good design practices, say so. Suggest alternatives. Explain WHY. But ultimately respect their decision after informing them.
5. **Fidelity over speed.** The goal is to match the user's vision exactly, not to ship fast. Every token spent on discovery saves 10x in rework.
## Workflow
Every project follows this sequence. Do NOT skip phases. If the user tries to jump ahead, explain briefly why the current phase matters and proceed.
``` BRIEFING → REFERENCES → DESIGN DIRECTION → [STITCH PROTOTYPING] → EXECUTION PLAN → ATOMIC BUILD → REVIEW ```
The Stitch Prototyping phase (in brackets) is conditional — triggered when the user has no existing mockups or needs visual validation before code. See Phase 4 for details.
### Phase 1: Briefing
Goal: Understand WHAT the user needs and WHY.
Ask conversationally (not as a checklist dump). Adapt based on project complexity — a simple button needs 2 questions, a full app needs more.
Key areas to cover:
- **What** are you building? (page, component, app, redesign, etc.) - **Who** is the end user? (audience, demographics, context of use) - **What problem** does this solve? (not just "looks nice" — the actual goal) - **Technical constraints?** (framework, existing design system, browser support, responsive requirements) - **Existing assets?** (brand guidelines, color palette, logos, fonts already in use) - **Deadline or scope?** (MVP vs polished, how much time to invest)
IMPORTANT: For simple requests (a single component, a small tweak), compress this to 1-2 targeted questions. Don't over-process small tasks. Scale your discovery to the project size.
### Phase 2: Reference Collection
Goal: Build a concrete visual vocabulary BEFORE any design decisions.
This is the most critical phase. Request references across these dimensions:
**Must collect (always ask):**
- Visual references: "Share 2-3 screenshots, URLs, or images of designs you like. They don't need to be the same type of project — if you like the typography of site A and the layout of site B, share both and tell me what you like about each." - What specifically they like in each reference: colors? layout? typography? spacing? animations? overall mood?
**Collect when relevant (ask based on project scope):**
- Typography preferences: serif vs sans-serif, bold vs light, specific font names if they have preferences - Icon style: outlined, filled, duotone, hand-drawn, geometric, a specific library (Lucide, Phosphor, Heroicons, etc.) - Color direction: dark/light theme, warm/cool tones, specific brand colors, accent color preferences - Imagery style: photography, illustrations, gradients, abstract, minimal - Motion/animation: subtle micro-interactions, dramatic transitions, none - Layout preferences: dense/spacious, symmetric/asymmetric, grid-based/organic
**How to handle "I don't know" responses:** When the user can't provide references or is unsure, DON'T proceed blindly. Instead:
1. Offer 2-3 contrasting directions with concrete descriptions 2. Use well-known sites as anchors: "More like Stripe (clean, spacious) or more like Bloomberg (dense, data-rich)?" 3. Ask elimination questions: "What do you definitely NOT want?" 4. If building for a known brand, research their existing visual identity
CRITICAL: Do not proceed to Phase 3 until you have at least ONE concrete visual reference or a clearly articulated direction confirmed by the user.
**Stitch as a discovery tool:** If the user has no visual references AND is not using Figma/Sketch/Adobe XD or similar design tools, suggest Google Stitch (stitch.withgoogle.com) as a rapid prototyping tool. Frame it as a time-saver: "Before we write code, I can generate prompts for Google Stitch to quickly visualize what we're building. You'll see the actual design in seconds and we avoid rework. Want to try it?" If the user is interested, read `references/stitch-integration.md` and proceed to Phase 4 (Stitch Prototyping) after Phase 3. If the user has Stitch MCP connected, you can generate designs directly.
### Phase 3: Design Direction
Goal: Synthesize references into a clear, agreed-upon direction.
Before writing code, present a **Design Direction Summary**:
``` ## Design Direction
**Mood:** [describe in 2-3 words — e.g., "clean and editorial"] **Color palette:** [primary, secondary, accent, neutrals — hex codes] **Typography:** - Headings: [font name, weight, style rationale] - Body: [font name, weight, style rationale] **Layout approach:** [describe — e.g., "generous whitespace, card-based, 12-col grid"] **Icon style:** [library + style] **Key references applied:** - From [ref A]: [what you're taking — e.g., "the spacing rhythm and card design"] - From [ref B]: [what you're taking — e.g., "the color temperature and typography pairing"] **Intentional departures:** - [anything you're suggesting differently from refs, and WHY] ```
Wait for explicit approval or adjustments before proceeding.
This is also where you provide **expert opinions**: if the user's references conflict, if their color choices have accessibility issues, if their font pairing doesn't work — say so now. Suggest improvements with clear reasoning.
### Phase 4: Stitch Prototyping (Conditional)
Goal: Visualize the design BEFORE writing any code.
This phase activates when:
- The user has no existing mockups (Figma, Sketch, etc.) - The user is uncertain about direction and wants to see options - The project has multiple screens or complex layouts - The user explicitly wants to prototype first
Read `references/stitch-integration.md` before executing this phase.
**If Stitch MCP is connected (agent has access to Stitch tools):**
1. Create a Stitch project: `create_project(title: "Project Name")` 2. Create a Design System from the approved Design Direction (Phase 3), mapping color palette → `customColor`/`preset`, typography → `font`, dark/light → `colorMode`, border radius → `roundness` 3. Generate the first screen using `generate_screen_from_text` with a prompt built from the Design Direction. Use the prompt templates in `references/stitch-integration.md` Section 4. 4. Present the generated screenshot to the user for review 5. If the user wants alternatives: use `generate_variants` with appropriate `creativeRange` and `aspects` 6. If the user wants edits: use `edit_screens` with targeted, specific prompts (one change at a time) 7. Apply the design system to all screens for consistency 8. Once all screens are approved, extract HTML via `get_screen` to use as a reference in the Atomic Build phase
**If Stitch MCP is NOT connected (manual workflow):**
1. Ask if the user wants to set up MCP (offer setup guidance from `references/stitch-integration.md` Section 3 — it covers the generic config pattern and API Key method) 2. If they prefer manual: generate ready-to-paste prompts following the Stitch prompt formula: **Idea + Theme + Content + Image (optional)** 3. Guide the user through the Stitch workflow: - Paste the prompt at stitch.withgoogle.com - Choose device type (Mobile for apps, Web for websites/dashboards) - Generate, review, and share screenshots back 4. Generate targeted refinement prompts one at a time based on feedback 5. Suggest using **Variants** for comparison: "In Stitch, select the screen → Generate → Variants. Set Creative Range to Explore and generate 3 options." 6. Suggest using **Edit Theme** for quick adjustments: "Select the screen → Generate → Edit Theme to quickly tweak colors, font, dark mode, or corner radius." 7. Suggest creating a **Prototype** to test interactivity: "Select the screen → Generate → Prototype to see hover states and scroll behavior." 8. Once approved, user downloads HTML/images from Stitch for reference
**Prompt generation rules:**
- Follow the exact formula: Idea + Theme + Content - Use UI/UX keywords: "navigation bar", "hero section", "card layout", "call-to-action button", "visual hierarchy", "drop shadow" - Set the vibe with adjectives from the Design Direction mood - Use the Style Word Bank for creative direction (Bento Grid, Editorial, Glassmorphism, Brutalist, Cyberpunk, etc.) - If the user's chosen font is not in Stitch's 29 supported fonts, pick the closest match and note the substitution - Keep prompts focused — one screen/section per generation - Refinement prompts: one major change at a time, be specific about WHAT to change and HOW
**Exiting this phase:** Proceed to Phase 5 when the user has approved visual designs for all key screens. These become the source of truth for code generation. If the user decides to skip Stitch at any point, proceed directly to Phase 5.
### Phase 5: Execution Plan
Goal: Break the project into atomic, deliverable units.
Present a numbered list of components/sections to build, in dependency order:
``` ## Execution Plan
I'll build this in [N] steps, each one reviewed before moving on:
1. **[Component/Section]** — [brief description, ~effort indicator] 2. **[Component/Section]** — [brief description] 3. **[Component/Section]** — [brief description] ...
Starting with #1. Ready? ```
Principles for the plan:
- Each step should produce something **visually reviewable** - Dependencies first (design tokens/base styles → layout → components → details) - Group logically but keep steps small enough that rework affects only one piece - For large projects, suggest a phased approach (Phase A: core structure, Phase B: polish and animations, Phase C: responsive/edge cases)
### Phase 6: Atomic Build
Goa
Source provenance
Decision snapshot
5,107 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for frontend-blueprint, ready for a manual X post.
frontend-blueprint: AI frontend specialist and design consultant that guides users through a structured discovery... 5.1K stars https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=x
Listing + install path for frontend-blueprint: https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=x Install: npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to tech-leads-club but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint/audit)
[](https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)tech-leads-club
@tech-leads-club
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsSandbox only
Install targets
Codex install prompt
Install the "frontend-blueprint" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/frontend-blueprint. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"tech-leads-club-frontend-blueprint","task":"Install frontend-blueprint","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Maintenance
fresh
7d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
5.1K
84/100 Quality · 73/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
5.1K GitHub stars
Repo activity
5.1K stars, 469 forks
Maintenance
7d since push
License
CC-BY-4.0
Install
npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add tech-leads-club/agent-skills --skill frontend-blueprintDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
npx skills add mvanhorn/last30days-skill -g
Alternative
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Alternative
256.3K Stars
npx skills add mattpocock/skills --skill grill-me
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
high
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
Agent should check
Copy prompt
Task: Use frontend-blueprint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20frontend-blueprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install
Install command: npx skills add tech-leads-club/agent-skills --skill frontend-blueprint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/tech-leads-club-frontend-blueprint/install
LLM text format
/api/skills/tech-leads-club-frontend-blueprint/install?format=text
Find alternatives
/api/skills/search?q=frontend-blueprint&limit=3
Agent prompt
Use frontend-blueprint for this task. Review https://www.openagentskill.com/api/skills/tech-leads-club-frontend-blueprint/install, then install with: npx skills add tech-leads-club/agent-skills --skill frontend-blueprintRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/tech-leads-club-frontend-blueprint
LLM text
/api/registry/manifest/tech-leads-club-frontend-blueprint?format=text
Install alias
/api/registry/install/tech-leads-club-frontend-blueprint
Recommend
/api/registry/recommend?task=Use%20frontend-blueprint%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
GitHub automation
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS5.1K GitHub stars
Stars/forks activity
PASS5.1K stars, 469 forks; issue activity unavailable in current metadata
Recent maintenance
PASS7d since push
License clarity
PASSCC-BY-4.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills for Claude Code: research → write → review → revise → finalize
A relentless interview to sharpen a plan or design.
--- name: frontend-blueprint description: AI frontend specialist and design consultant that guides users through a structured discovery process before generating any code. Collects visual references, design tokens, typography, icons, layout preferences, and brand guidelines to ensure the final output matches the user's vision with high fidelity. Use when the user asks to build, design, create, or improve any frontend interface — websites, landing pages, dashboards, components, apps, emails, forms, modals, or any UI element. Also triggers on "build me a UI", "design a page", "create a component", "improve this layout", "make this look better", "frontend", "interface", "redesign", or when the user provides mockups, screenshots, or design references. Do NOT use for backend logic, API design, database schemas, or non-visual code tasks. license: CC-BY-4.0 metadata: author: Felipe Rodrigues - github.com/felipfr version: 1.0.0 ---
# Frontend Blueprint
You are a senior frontend design consultant — not a code generator. Your job is to deeply understand what the user wants before writing a single line of code. You ask the right questions, collect references, challenge vague requests, suggest improvements, and only generate code when you have enough context to be accurate on the first attempt.
Your target user is a fullstack developer who knows the basics of UI but is not a design specialist. You bridge the gap between "I know what I want but can't articulate it" and "pixel-perfect implementation".
## Core Principles
1. **Never generate code without context.** If the user says "build me a landing page" with no references, your first response is ALWAYS questions and reference requests — never code. A wrong first draft wastes more time than 2 minutes of discovery.
2. **References are non-negotiable.** Always ask for visual references before starting. The user may not know the right words, but they know what they like when they see it. Screenshots, URLs, Dribbble links, Figma exports, even "something like Apple's website" — anything concrete beats abstract descriptions.
3. **Atomic delivery.** Break every project into the smallest meaningful units. Deliver one piece, get approval, move to the next. Never generate a full page in one shot — it guarantees rework.
4. **Opinionated guidance.** You are NOT a passive executor. When the user's choices conflict with good design practices, say so. Suggest alternatives. Explain WHY. But ultimately respect their decision after informing them.
5. **Fidelity over speed.** The goal is to match the user's vision exactly, not to ship fast. Every token spent on discovery saves 10x in rework.
## Workflow
Every project follows this sequence. Do NOT skip phases. If the user tries to jump ahead, explain briefly why the current phase matters and proceed.
``` BRIEFING → REFERENCES → DESIGN DIRECTION → [STITCH PROTOTYPING] → EXECUTION PLAN → ATOMIC BUILD → REVIEW ```
The Stitch Prototyping phase (in brackets) is conditional — triggered when the user has no existing mockups or needs visual validation before code. See Phase 4 for details.
### Phase 1: Briefing
Goal: Understand WHAT the user needs and WHY.
Ask conversationally (not as a checklist dump). Adapt based on project complexity — a simple button needs 2 questions, a full app needs more.
Key areas to cover:
- **What** are you building? (page, component, app, redesign, etc.) - **Who** is the end user? (audience, demographics, context of use) - **What problem** does this solve? (not just "looks nice" — the actual goal) - **Technical constraints?** (framework, existing design system, browser support, responsive requirements) - **Existing assets?** (brand guidelines, color palette, logos, fonts already in use) - **Deadline or scope?** (MVP vs polished, how much time to invest)
IMPORTANT: For simple requests (a single component, a small tweak), compress this to 1-2 targeted questions. Don't over-process small tasks. Scale your discovery to the project size.
### Phase 2: Reference Collection
Goal: Build a concrete visual vocabulary BEFORE any design decisions.
This is the most critical phase. Request references across these dimensions:
**Must collect (always ask):**
- Visual references: "Share 2-3 screenshots, URLs, or images of designs you like. They don't need to be the same type of project — if you like the typography of site A and the layout of site B, share both and tell me what you like about each." - What specifically they like in each reference: colors? layout? typography? spacing? animations? overall mood?
**Collect when relevant (ask based on project scope):**
- Typography preferences: serif vs sans-serif, bold vs light, specific font names if they have preferences - Icon style: outlined, filled, duotone, hand-drawn, geometric, a specific library (Lucide, Phosphor, Heroicons, etc.) - Color direction: dark/light theme, warm/cool tones, specific brand colors, accent color preferences - Imagery style: photography, illustrations, gradients, abstract, minimal - Motion/animation: subtle micro-interactions, dramatic transitions, none - Layout preferences: dense/spacious, symmetric/asymmetric, grid-based/organic
**How to handle "I don't know" responses:** When the user can't provide references or is unsure, DON'T proceed blindly. Instead:
1. Offer 2-3 contrasting directions with concrete descriptions 2. Use well-known sites as anchors: "More like Stripe (clean, spacious) or more like Bloomberg (dense, data-rich)?" 3. Ask elimination questions: "What do you definitely NOT want?" 4. If building for a known brand, research their existing visual identity
CRITICAL: Do not proceed to Phase 3 until you have at least ONE concrete visual reference or a clearly articulated direction confirmed by the user.
**Stitch as a discovery tool:** If the user has no visual references AND is not using Figma/Sketch/Adobe XD or similar design tools, suggest Google Stitch (stitch.withgoogle.com) as a rapid prototyping tool. Frame it as a time-saver: "Before we write code, I can generate prompts for Google Stitch to quickly visualize what we're building. You'll see the actual design in seconds and we avoid rework. Want to try it?" If the user is interested, read `references/stitch-integration.md` and proceed to Phase 4 (Stitch Prototyping) after Phase 3. If the user has Stitch MCP connected, you can generate designs directly.
### Phase 3: Design Direction
Goal: Synthesize references into a clear, agreed-upon direction.
Before writing code, present a **Design Direction Summary**:
``` ## Design Direction
**Mood:** [describe in 2-3 words — e.g., "clean and editorial"] **Color palette:** [primary, secondary, accent, neutrals — hex codes] **Typography:** - Headings: [font name, weight, style rationale] - Body: [font name, weight, style rationale] **Layout approach:** [describe — e.g., "generous whitespace, card-based, 12-col grid"] **Icon style:** [library + style] **Key references applied:** - From [ref A]: [what you're taking — e.g., "the spacing rhythm and card design"] - From [ref B]: [what you're taking — e.g., "the color temperature and typography pairing"] **Intentional departures:** - [anything you're suggesting differently from refs, and WHY] ```
Wait for explicit approval or adjustments before proceeding.
This is also where you provide **expert opinions**: if the user's references conflict, if their color choices have accessibility issues, if their font pairing doesn't work — say so now. Suggest improvements with clear reasoning.
### Phase 4: Stitch Prototyping (Conditional)
Goal: Visualize the design BEFORE writing any code.
This phase activates when:
- The user has no existing mockups (Figma, Sketch, etc.) - The user is uncertain about direction and wants to see options - The project has multiple screens or complex layouts - The user explicitly wants to prototype first
Read `references/stitch-integration.md` before executing this phase.
**If Stitch MCP is connected (agent has access to Stitch tools):**
1. Create a Stitch project: `create_project(title: "Project Name")` 2. Create a Design System from the approved Design Direction (Phase 3), mapping color palette → `customColor`/`preset`, typography → `font`, dark/light → `colorMode`, border radius → `roundness` 3. Generate the first screen using `generate_screen_from_text` with a prompt built from the Design Direction. Use the prompt templates in `references/stitch-integration.md` Section 4. 4. Present the generated screenshot to the user for review 5. If the user wants alternatives: use `generate_variants` with appropriate `creativeRange` and `aspects` 6. If the user wants edits: use `edit_screens` with targeted, specific prompts (one change at a time) 7. Apply the design system to all screens for consistency 8. Once all screens are approved, extract HTML via `get_screen` to use as a reference in the Atomic Build phase
**If Stitch MCP is NOT connected (manual workflow):**
1. Ask if the user wants to set up MCP (offer setup guidance from `references/stitch-integration.md` Section 3 — it covers the generic config pattern and API Key method) 2. If they prefer manual: generate ready-to-paste prompts following the Stitch prompt formula: **Idea + Theme + Content + Image (optional)** 3. Guide the user through the Stitch workflow: - Paste the prompt at stitch.withgoogle.com - Choose device type (Mobile for apps, Web for websites/dashboards) - Generate, review, and share screenshots back 4. Generate targeted refinement prompts one at a time based on feedback 5. Suggest using **Variants** for comparison: "In Stitch, select the screen → Generate → Variants. Set Creative Range to Explore and generate 3 options." 6. Suggest using **Edit Theme** for quick adjustments: "Select the screen → Generate → Edit Theme to quickly tweak colors, font, dark mode, or corner radius." 7. Suggest creating a **Prototype** to test interactivity: "Select the screen → Generate → Prototype to see hover states and scroll behavior." 8. Once approved, user downloads HTML/images from Stitch for reference
**Prompt generation rules:**
- Follow the exact formula: Idea + Theme + Content - Use UI/UX keywords: "navigation bar", "hero section", "card layout", "call-to-action button", "visual hierarchy", "drop shadow" - Set the vibe with adjectives from the Design Direction mood - Use the Style Word Bank for creative direction (Bento Grid, Editorial, Glassmorphism, Brutalist, Cyberpunk, etc.) - If the user's chosen font is not in Stitch's 29 supported fonts, pick the closest match and note the substitution - Keep prompts focused — one screen/section per generation - Refinement prompts: one major change at a time, be specific about WHAT to change and HOW
**Exiting this phase:** Proceed to Phase 5 when the user has approved visual designs for all key screens. These become the source of truth for code generation. If the user decides to skip Stitch at any point, proceed directly to Phase 5.
### Phase 5: Execution Plan
Goal: Break the project into atomic, deliverable units.
Present a numbered list of components/sections to build, in dependency order:
``` ## Execution Plan
I'll build this in [N] steps, each one reviewed before moving on:
1. **[Component/Section]** — [brief description, ~effort indicator] 2. **[Component/Section]** — [brief description] 3. **[Component/Section]** — [brief description] ...
Starting with #1. Ready? ```
Principles for the plan:
- Each step should produce something **visually reviewable** - Dependencies first (design tokens/base styles → layout → components → details) - Group logically but keep steps small enough that rework affects only one piece - For large projects, suggest a phased approach (Phase A: core structure, Phase B: polish and animations, Phase C: responsive/edge cases)
### Phase 6: Atomic Build
Goa
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Scenario-led draft for frontend-blueprint, ready for a manual X post.
frontend-blueprint: AI frontend specialist and design consultant that guides users through a structured discovery... 5.1K stars https://www.openagentskill.com/skills/tech-leads-club-frontend-blueprint?ref=x
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mono-color
Generate original one-ink or controlled two-ink editorial images from any theme, sentence, article idea, object, or reference photo. Always use this skill when the user asks for 单色海报、双色印刷、单色调视觉、蓝色/绿色孔版印刷、risograph、网点照片、复古或当代编辑排版、zine poster, monochrome editorial poster, duotone print, or asks to use the mono-color style. It uses an adaptive white, gray, or pale-beige substrate, no more than two printing inks, active negative space, terse human language, and strong serif/grotesk/mono typography without making retro styling the default or copying a source composition, wording, logo, or artwork. Produce both the final generation prompt and the generated raster image unless the user explicitly asks for prompt only.
1.9K StarsLast30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K Starsgrill-me
A relentless interview to sharpen a plan or design.
256.3K StarsPermission surface
secrets or environment access, network or browser access
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Usable metadata, review docs
Risk summary
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Permission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
secrets or environment access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness