brand-system
Create visual identity systems: color palettes, font pairings, style direction, and rendered preview PDFs. Use when the user needs a cohesive design system before building a deck, presentation, document, or any visual project. Works for consulting engagements, product pitches, pe
Supply asset profile
Presentation and deck workflows
PPTX generation, HTML slides, pitch decks, speaker notes, and presentation workflow skills.
Scenario
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add appautomaton/presentation --skill brand-system
Maintenance
fresh
2d since push
Risk
Needs review
License is unclear
GitHub quality
54
59/100 Quality · 66/100 Trust
Coverage tags
Review notes
License is unclear · Repository license is unknown; no license file detected, which may restrict reuse.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
54 GitHub stars
Repo activity
54 stars, 4 forks
Maintenance
2d since push
License
Unknown
Install
npx skills add appautomaton/presentation --skill brand-system
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Repository license is unknown; no license file detected, which may restrict reuse.
- License is unclear
- Quality score needs review
- GitHub adoption: 54 GitHub stars
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Document processing workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Read uploaded files
Suited agents
Install decision
- Command
- npx skills add appautomaton/presentation --skill brand-system
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 58/100
- Audit
- 73/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add appautomaton/presentation --skill brand-systemDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Repository license is unknown; no license file detected, which may restrict reuse.
- License is unclear
- SKILL.md does not mention runtime dependencies (Node.js, Playwright) or setup steps for the preview rendering engine.
Alternative
Frontend Design
170.9K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
Taste Skill: Anti-Slop Frontend
79.0K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
Canvas Design
170.9K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
Anthropic Brand Guidelines
170.9K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
53/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- License is unclear
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install appautomaton-brand-systemAgent resolve plan
Let an agent verify fit before installing.
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%20brand-system%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20brand-system%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/appautomaton-brand-system/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use brand-system in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20brand-system%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/appautomaton-brand-system/install
Install command: npx skills add appautomaton/presentation --skill brand-system
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/appautomaton-brand-system/install
LLM text format
/api/skills/appautomaton-brand-system/install?format=text
Find alternatives
/api/skills/search?q=brand-system&limit=3
Agent prompt
Use brand-system for this task. Review https://www.openagentskill.com/api/skills/appautomaton-brand-system/install, then install with: npx skills add appautomaton/presentation --skill brand-systemRegistry metadata
Agent-readable profile for automatic skill selection.
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/appautomaton-brand-system
LLM text
/api/registry/manifest/appautomaton-brand-system?format=text
Install alias
/api/registry/install/appautomaton-brand-system
Recommend
/api/registry/recommend?task=Use%20brand-system%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Platforms
Claude Code, Browser agents
Audit report
Needs review · 73/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Document processing
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Document processing
Trust label
Prototype first
Install path
Command ready
Use when
- Document processing workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 59/100 quality profile
- 4 OpenAgentSkill engagement events
review first
- Repository license is unknown; no license file detected, which may restrict reuse.
Implementation path
- 1Install it in a sandbox agent and run one Document processing task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
CHECK54 GitHub stars
Stars/forks activity
CHECK54 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Repository license is unknown; no license file detected, which may restrict reuse.
- License is unclear
- Quality score needs review
- GitHub adoption: 54 GitHub stars
- Stars/forks activity: 54 stars, 4 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Create decks
Presentation generation
I need my agent to create a polished presentation deck from a brief, document, URL, or research notes, preferably with editable PPTX or HTML slides.
Create assets
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Add it to a complete workflow
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
Frontend and UI
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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
Overview
--- name: brand-system description: > Create visual identity systems: color palettes, font pairings, style direction, and rendered preview PDFs. Use when the user needs a cohesive design system before building a deck, presentation, document, or any visual project. Works for consulting engagements, product pitches, personal brands, or any context requiring a unified visual language. Produces a markdown design brief, a JS config, and a preview PDF. metadata: short-description: "Visual identity systems: palettes, fonts, style direction, preview PDFs" ---
# Brand System
Create a visual identity system: palette, typography, and style direction, documented in a markdown brief, extracted into a JS config, and rendered as a preview PDF.
## Artifacts
All output goes to the user's working directory. Ask for the path if not provided.
| File | What it is | |---|---| | `brand-brief.md` | The primary artifact. Research, rationale, and every design decision in one readable document. | | `identity.js` | A machine-readable extraction of the brief. Importable by downstream build scripts. | | `brand-preview.pdf` | A 3-slide rendered proof: palette, typography, and a combination demo. |
Intermediate HTML goes to `/tmp/brand-system/` and is cleaned up after rendering.
## Reference files
Load these on demand. Not all are needed for every engagement.
| File | When to load | |---|---| | [references/palette-guide.md](references/palette-guide.md) | When building the color palette: 8-role structure, derivation from anchor color, contrast testing | | [references/typography-guide.md](references/typography-guide.md) | When selecting fonts: pairing lookup table, weight discipline, same-vs-different family guidance | | [references/design-landscape.md](references/design-landscape.md) | When proposing a visual style: 6 active design directions with full specifications (2025-2026) |
---
## How to work
This is a conversational design process. The brief is built through dialogue: research, propose, refine.
### 1. Start from what you know
Read the user's request. Most of the direction is already implied: the subject, the context, the tone. Don't ask questions the request already answers.
If genuine ambiguity remains, ask the one or two questions that would most change your direction. Good questions resolve a fork in the road.
**Worth asking** (only if truly unclear): - *"Should this feel institutional and restrained, or is there room for something more contemporary?"* - *"Is there an existing brand I should align with, or are we starting fresh?"*
**Decide yourself** (don't ask the user): - What colors to use: research the brand and propose - What font to use: match the context and recommend - How many palette roles: the structure is defined, follow it
### 2. Research
Before choosing colors or fonts, look at what exists.
**Known brand** → search for their actual colors, typeface, and visual direction. Extract the primary brand color, the typeface family, and the tone.
**New project** → search for what works in the space: peer palettes, industry conventions, tone-appropriate examples.
### 3. Build the palette
Load [references/palette-guide.md](references/palette-guide.md) for the full role structure and derivation rules.
The palette grows from an anchor color: - User provides one → build around it - Known brand → extract from research - Fresh → choose based on tone and context
Eight roles. One accent + three signals. Every color traces to a reason.
### 4. Choose typography
Load [references/typography-guide.md](references/typography-guide.md) for the pairing lookup table and rules.
Find the Google Font that echoes the subject's typographic character. One family for both heading and body is the default. A second family must earn its place.
### 5. Propose a style direction
Load [references/design-landscape.md](references/design-landscape.md) for the full catalog of six active design directions.
The style defines shape language, surface treatment, and compositional rules. It is recorded in the brief and the config, but it is **un-opinionated in application**: the style direction is a vocabulary that downstream skills interpret for their own medium. This skill defines *what the visual language is*, not *how every slide or page should look*.
Recommend the best fit based on context and offer 1-2 alternatives. Filter by context. Don't present all six.
**Anti-patterns regardless of style:** - Rounded cards with shadows → SaaS product UI - Cards nested inside cards → visual noise - Gradient fills on content → marketing, not professional - Inconsistent radius within a single composition
### 6. Draft the brief, then refine
Write `brand-brief.md` with everything so far. Present it and ask the user 2-3 targeted questions: the decisions most likely to benefit from their input.
Identify what to surface based on what you're least certain about. If the accent color was a clear derivation from the brand, don't ask about it. If you had to choose between two equally good fonts, surface that choice.
**Structure of the brief:**
```markdown # Brand Brief: [Project Name]
## Context [Who, what, for whom]
## Research [What was found: colors, typeface, tone, sources]
## Color Palette | Role | Hex | Rationale | |---|---|---| | ... | ... | ... |
## Typography | Role | Font | Weights | Rationale | |---|---|---|---| | ... | ... | ... | ... |
## Visual Style [Which direction, why, what it means in practice]
## Identity (if applicable) [Project or firm name, tagline, positioning, only when the project calls for it] ```
Iterate until the user approves. Typically 1-3 rounds. Each round should narrow.
**Do not generate `identity.js` or render the preview until the brief is finalized.** The preview confirms decisions already made. It is not a design exploration tool.
### 7. Generate the config
Extract the approved brief into `identity.js`. Every value comes from the brief.
```javascript module.exports = { // 'institutional' | 'modern' | 'dark' | 'bento' | 'editorial' | 'data-forward' style: 'modern',
palette: { name: 'project-name', surfaceDark: '#...', accent: '#...', accentLight: '#...', surfaceMuted: '#...', surface: '#...', text: '#...', textMuted: '#...', textFine: '#...', textOnDark: '#FFFFFF', chartPrimary: '#...', chartSecondary: '#...', positive: '#...', warning: '#...', negative: '#...', },
fonts: { heading: { family: '...', weights: [600, 700], stack: "'...', system-ui, sans-serif" }, body: { family: '...', weights: [400, 600], stack: "'...', system-ui, sans-serif" }, mono: null, },
// Optional: include when the project has a brand identity firm: null, // or { name: '...', tagline: '...', logoSVG: null }
toCSS() { /* generates [data-palette="..."] { --accent: ...; --radius: ...; ... } */ }, // Style tokens are included in the CSS output alongside palette colors. // Downstream skills use var(--radius), var(--card-border), etc. }; ```
### 8. Render the preview
Write a short Node script to the user's working directory. The script requires the engine from this skill's base directory (provided in context) and the identity config from the working directory:
```javascript const { createPreview } = require('<this-skill>/engine'); const brand = require('./identity'); createPreview(brand, { output: './brand-preview.pdf' }); ```
`<this-skill>` = this skill's base directory path. Node resolves `playwright` from the skill's own `node_modules/`. No install needed in the user's project.
Three slides: palette swatches, typography specimens + combo demo, cover on dark surface. Present to the user. If anything is off, update the brief first, then regenerate.
---
## Architecture
``` brand-system/ SKILL.md ← always loaded (this file) references/ palette-guide.md ← load when building palette typography-guide.md ← load when choosing fonts design-landscape.md ← load when proposing style engine/ index.js ← createPreview(brand) → PDF render.js ← Playwright HTML → PDF package.json ← playwright only node_modules/ ← self-contained ```
Self-contained: `package.json` + `node_modules/` are inside the skill folder. All `require()` calls resolve locally. No workspace-level install needed. Run `npm install` inside this skill folder if `node_modules/` is missing.
The `identity.js` this skill produces is an **input to downstream skills**, not an instruction. Downstream skills interpret the style direction for their own medium. This skill defines the vocabulary, not the implementation. Deck-building skills each define an identity intake step in their own SKILL.md that consumes this file directly (palette CSS for web-based renderers via `toCSS()`, theme-object registration for native PPTX).
Technical details
- Version
- 1.0.0
- License
- Unknown
- Last updated
- Aug 21, 2026
- Published
- Aug 21, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 72/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for brand-system, ready for a manual X post.
A practical pick for the next deck: brand-system: Create visual identity systems: color palettes, font pairings, style direction, and rendered preview PDFs. Use when the use... 54 stars https://www.openagentskill.com/skills/appautomaton-brand-system?ref=x
Optional reply with install command
Listing + install path for brand-system: https://www.openagentskill.com/skills/appautomaton-brand-system?ref=x Install: npx skills add appautomaton/presentation --skill brand-system
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- appautomaton
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to appautomaton 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/appautomaton-brand-system)
[](https://www.openagentskill.com/skills/appautomaton-brand-system)
[](https://www.openagentskill.com/skills/appautomaton-brand-system/audit)
[](https://www.openagentskill.com/skills/appautomaton-brand-system)Author
appautomaton
@appautomaton
Tags
Platform fit
Health signals
- GitHub stars
- 54
- Quality score
- 35/100
- Last GitHub push
- Aug 20, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 4
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Do not auto-install
- GitHub adoption54 GitHub starsCHECK
- Stars/forks activity54 stars, 4 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance2d since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskexternal package install surface, network or browser surfaceINFO
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