autoprompt
Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without a
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Spielewoy/autoprompt-skill --skill autoprompt
Maintenance
fresh
3d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
409
73/100 Quality · 68/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
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
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
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
409 GitHub stars
Repo activity
409 stars, 28 forks
Maintenance
3d since push
License
MIT
Install
npx skills add Spielewoy/autoprompt-skill --skill autoprompt
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 409 stars, 28 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 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
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add Spielewoy/autoprompt-skill --skill autoprompt
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 60/100
- Audit
- 78/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add Spielewoy/autoprompt-skill --skill autopromptDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
Alternative
Frontend Design
171.1K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
Taste Skill: Anti-Slop Frontend
79.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
Canvas Design
171.1K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
Anthropic Brand Guidelines
171.1K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
46/100 · 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.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
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.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- High-risk permission hints: Shell or command execution
- Permission surface may require sandboxing
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 spielewoy-autopromptAgent 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%20autoprompt%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20autoprompt%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/spielewoy-autoprompt/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 autoprompt in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20autoprompt%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/spielewoy-autoprompt/install
Install command: npx skills add Spielewoy/autoprompt-skill --skill autoprompt
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/spielewoy-autoprompt/install
LLM text format
/api/skills/spielewoy-autoprompt/install?format=text
Find alternatives
/api/skills/search?q=autoprompt&limit=3
Agent prompt
Use autoprompt for this task. Review https://www.openagentskill.com/api/skills/spielewoy-autoprompt/install, then install with: npx skills add Spielewoy/autoprompt-skill --skill autopromptRegistry 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/spielewoy-autoprompt
LLM text
/api/registry/manifest/spielewoy-autoprompt?format=text
Install alias
/api/registry/install/spielewoy-autoprompt
Recommend
/api/registry/recommend?task=Use%20autoprompt%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Companion skill for GitHub automation
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
GitHub automation
Trust label
Strong shortlist
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 73/100 quality profile
- 5 OpenAgentSkill engagement events
review first
- The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation 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
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO409 GitHub stars
Stars/forks activity
CHECK409 stars, 28 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSMIT
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
- The skill mentions a 'permission-bypass flag' without clarifying whether it can override user permissions; this should be explicitly forbidden or scoped to avoid accidental privilege escalation.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 409 stars, 28 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
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: autoprompt description: "Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependency-safe lanes, and verify the result with independent reviewers. Never infer invocation from ordinary requests. Never resume from leftover artifacts without an explicit resume instruction." ---
# Autoprompt
Autoprompt is a useful-first orchestration loop. It stores the mission once, produces one independently approved executable roadmap, dispatches implementation-ready lanes directly, and proves the delivered behavior with real tests and fresh review.
## 1. Start contract
The invocation authorizes the mission. Do not ask the user to restate, narrow, or approve it.
Loading the skill or invoking it without a mission never starts or resumes a run, regardless of leftover artifacts. A bare invocation performs only the section-10 frontier check, reports the result, and stops.
Before spawning, resolve only undefined operator knobs:
- **Concurrency:** `tokensaver` (default, up to six live), `wide`/`billionaire` (all ready disjoint work up to the global ceiling), or `custom max_subs=N`. - **Agent selection:** `off`/inherit, `auto`, or an explicit model list. First state effort capability as exactly `selectable`, `inherited-only`, `unsupported`, or `unknown`; name the verified maximum only when selectable.
In an attended session, ask all undefined knobs in one question before repository/tool work. In an unattended supervisor run, do not ask: default to `tokensaver` and `agents=off` and record the assumptions. A permission-bypass flag is not unattendedness.
After the chooser, dispatch the L1 scope coordinator `ap-scope-coordinator`; it dispatches the useful-first roadmap author. There is no separate intake round trip and no mandatory preflight agent.
An invoked mission always enters orchestration: the bounded scope topology is the minimum topology, and the main agent never silently self-triages an invoked mission into direct execution. Skipping or narrowing dispatch is an explicit decision recorded in `GATELOG.md` with its rationale, never a silent one.
## 2. Capability fast path
A supervisor may provide a versioned capability attestation bound to provider/runtime, CLI version, permission profile, agent selector, agent-definition hash, casting hash, effort status/source, and exact RUN/READ/WRITE success. Use it only when every binding matches the live launch. Missing, malformed, stale, unknown, or contradictory values are safe misses.
Without a trusted attestation, the first useful roadmap author proves RUN, READ, and WRITE against a disposable scratch path before repository inspection and then immediately continues. Any failure hard-stops before implementation. The preflight persona is diagnostic/recovery only.
## 3. Adaptive scope topology
Scope produces one canonical `ROADMAP.md`.
- **bounded:** roadmap author, then independent reviewer and blind fresh verifier concurrently - **3 agents, 2 rounds**, target under one minute; - **multi-surface:** **exactly 5 agents, 3 rounds**, target under five minutes; retain the complete author roadmap and evidence, add exactly two complementary scouts, then concurrent reviewer plus fresh verifier without a redundant ordinary synthesis dispatch; - **unusually-large:** may exceed the 6-agent ordinary budget only with a concrete recorded escalation reason.
External research runs only when current external facts are required. On rejection, retain accepted evidence and repair only named items. Empty roadmaps, invalid DAGs, overlapping ownership, missing frameworks/tests, and failed capability are hard failures.
## 4. Executable roadmap
`ROADMAP.md` is the new run's sole scope/decomposition/plan source. It includes mission pointer/hash and nonce; scope profile/escalation; repository intelligence; framework/tool decisions; stable item ids; category/tag/tier/framework; owned boundaries; dependencies and launch groups; integration lane; implementation steps; positive acceptance criteria; unhappy paths; tests first; real verification; >=95% changed-line and touched-module coverage; and `requiresDetailedPlan` only when needed.
Implementation-ready items dispatch directly to build. Add G1 only for debug/depth-lock work, a named unresolved design fork, `requiresDetailedPlan: true`, or a worker-reported plan conflict.
Decompose the mission into every genuinely disjoint lane. Never collapse a multi-surface mission into one "bounded" lane to shrink the roadmap; disjoint surfaces get disjoint lanes with disjoint ownership.
## 5. New-run governance
New-run governance is exactly:
1. `PROMPTS.txt` - exact append-only prompt blocks; 2. `ROADMAP.md` - canonical executable roadmap; 3. `GATELOG.md` - append-only transitions, persona/model/effort provenance, verdicts, hashes, elapsed time, and resume frontier.
Do not create new-run governance-only `BRIEF.md`, `PLAN.md`, `AGENTS.md`, `COVERAGE.md`, `BACKLOG.md`, `ANCHOR.md`, `bucketlist.md`, `intake.md`, `scope-map.md`, or per-angle scope files. Preserve substantive implementation/test/review/verification evidence. Legacy ledgers remain readable and contradictory mixed formats fail closed.
Governance lives at the run's governance root outside the mission target repository: `PROMPTS.txt`, `ROADMAP.md`, and `GATELOG.md` are never written into the target working tree and must never appear in its diff.
## 6. Compact pointer briefs
The first roadmap author stores the exact mission in `PROMPTS.txt`. Later briefs carry:
```text MISSION POINTER: read the exact prompt ledger before acting; stop if its hash or byte length differs. path=<PROMPTS.txt> hash=sha256:<64 hex> bytes=<UTF-8 byte length> nonce=<RUN-NONCE> ```
Workers verify path, hash, byte length, and nonce before acting. Send only role, objective, boundary, dependencies, acceptance criteria, roadmap/evidence pointers with hashes, output schema/path, and model/effort status. Do not paste the mission, transcript, full roadmap, doctrine, or prior adversarial reasoning. Preserve blind review.
## 7. Hierarchy and dispatch
Every worker is an installed, registered `ap-*` persona. Its custom-agent definition plus the dispatched task brief are its complete operating context. A worker must never load, invoke, or re-invoke the Autoprompt skill or start a nested Autoprompt run; it executes only its persona instructions and assigned brief. Every dispatch binds the intended persona's registered name as the agent type: an anonymous, `general-purpose`, or dynamically invented agent is an invalid dispatch, and any child dispatch must name another registered `ap-*` persona.
- L0 starts and reports. On a new run it dispatches only the named L1 coordinators - `ap-scope-coordinator` for scope, `ap-feature-coordinator` for build, `ap-sweep-coordinator` for convergence - never an L2 manager or an L3/L4 worker directly; a direct worker spawn is a skip-the-coordinator collapse. `ap-preflight-probe` and `ap-intake` remain diagnostic and legacy-resume exceptions. - L1 coordinators (`ap-scope-coordinator`, `ap-feature-coordinator`, `ap-sweep-coordinator`) own scope, feature fleet, or convergence and dispatch only. Each dispatches one `ap-manager` per multi-feature/multi-track slice, or named L3/L4 workers directly on a single bounded lane. - The L2 manager (`ap-manager`) is optional for multi-feature/multi-track slices; it dispatches named L3/L4 workers and never executes. - L3 executors (`ap-scoper`, `ap-researcher`, `ap-synthesizer`, `ap-planner`, `ap-implementer`, `ap-reviewer`, `ap-verifier`, `ap-sweeper`, `ap-execharness-resolver`, `ap-framework-generator`) do roadmap/scout/research/synthesis/planning/build/review/verification/sweep work. - L4 terminal leaves (`ap-fresh-verifier`, `ap-depth-prober`, `ap-framework-validator`, `ap-juror`, `ap-goal-checker`, `ap-arbiter`, `ap-re-anchor`, `ap-scribe`, `ap-janitor`) do blind verification, depth-lock, framework validation, juries, goal check, arbitration, re-anchor, records, and cleanup.
L1 never executes. A single bounded lane skips L2. Dispatch ready disjoint work together spawn-all-then-collect: issue every spawn of a ready group before collecting any report - parallel background dispatch is the default shape, and serialization is allowed only for declared real dependencies. No self-review. Reuse valid evidence and avoid duplicate ownership.
Subagents extend the dispatching agent's work; they never replace it. The dispatcher keeps synthesis, integration, and final judgment. Ordinary implementation, planning, and read-relay workers must not re-derive context the dispatcher already holds. Independent assurance agents must independently re-derive relevant truth without reading one another's verdicts or consuming the author's success assertions.
Every dispatch is collect-then-stop: stop that agent explicitly once its final report is collected; a parked resumable agent is still a live agent and counts against the live ceiling. Never leave a finished agent idling for possible follow-ups.
## 8. Codex model and effort
Codex uses actual custom-agent TOML `model` and `model_reasoning_effort` capabilities; it does not use Claude Code alias routing. Agent selection changes only model/effort, not gates or concurrency.
One selected model routes every role to that model. With multiple models, map stronger models to reasoning-heavy roles without inverting operator order. When effort is selectable, use the verified maximum for scope/coordinator/scouts/synthesis, planning, review, blind verification, runtime verification, jurors, goal check, arbitration, and depth-lock. Ordinary implementation defaults high; mechanical record/cleanup roles may be lower. When effort is inherited-only, unsupported, or unknown, omit the field and record the truthful fallback.
Exported agent definitions and selector metadata must match the live launch. A mismatched explicit selection fails rather than pretending it applied.
## 9. Build and verification
Use strict TDD: write and run the correct failing behavior test, implement the minimum change, refactor under green, run touched modules and direct dependents, and prove >=95% changed-line/touched-module coverage. Use real runners and systems. Do not mock the system under test or databases in integration tests.
Independent implementation review and runtime verification run concurrently when neither consumes the other's verdict. Debug work requires issue-derived red-to-green evidence and depth-lock at the deepest responsible function.
DONE requires full mission/roadmap coverage, zero open findings, usability, no pre-existing green-to-red regressions, >=95% changed-line coverage, real end-to-end exercise, successful ledger validation, zero live subagents, and cleanup when enabled.
## 10. Resume, steering, arbitration, and git
Resume is explicit: only an explicit `resume` instruction or a supervisor relaunch resumes a run; skill load, bare invocation, or leftover artifacts never do. The only startup read is the `GATELOG.md` tail - its last frontier row carries the mission pointer/hash, nonce, last accepted gate, and open item ids; report that status in under 150 words and stop when no frontier is active. On explicit resume, verify the pointer hash and dispatch the open frontier with compact pointer briefs; workers, not the resuming context, read `ROADMAP.md`, `PROMPTS.txt`, and substantive evidence. Treat temporary, empty, or unparsable artifacts as absent. Append later self-written steering to the next `PROMPTS.txt` block without rewriting history.
The arbiter decides technical forks. Ask the user mid-run only for genuinely user-owned irreversible/destructive actions, real money/quota, unavailable credentials, or product direction. Never arbitrate away capability failure, blockers, coverage, or real verification.
Do not commit, push, publish, deploy, spend money, delete user data, force-push, reset hard, or clean the working tree with
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 20, 2026
- Published
- Aug 19, 2026
Decision snapshot
Companion skill
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 76/100
- 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 autoprompt, ready for a manual X post.
A practical pick for design or creative work: autoprompt: Explicit-only useful-first orchestration. Invoke /autoprompt to turn a mission into one executable roadmap, build dependenc... 409 stars https://www.openagentskill.com/skills/spielewoy-autoprompt?ref=x
Optional reply with install command
Listing + install path for autoprompt: https://www.openagentskill.com/skills/spielewoy-autoprompt?ref=x Install: npx skills add Spielewoy/autoprompt-skill --skill autoprompt
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Spielewoy
- 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 Spielewoy 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/spielewoy-autoprompt)
[](https://www.openagentskill.com/skills/spielewoy-autoprompt)
[](https://www.openagentskill.com/skills/spielewoy-autoprompt/audit)
[](https://www.openagentskill.com/skills/spielewoy-autoprompt)Author
Spielewoy
@spielewoy
Tags
Platform fit
Health signals
- GitHub stars
- 409
- Quality score
- 42/100
- Last GitHub push
- Aug 20, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 5
- 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
Sandbox only
- GitHub adoption409 GitHub starsINFO
- Stars/forks activity409 stars, 28 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance3d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surfaceINFO
Related skills
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
171.1K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
79.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
171.1K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
171.1K Stars