Creator · Jeffallan
Last updated · Sep 2, 2026
Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutor
Creator · Jeffallan
Last updated · Sep 2, 2026
Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutor
Creator · Jeffallan
Last updated · Sep 2, 2026
Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutor
Creator · Jeffallan
Last updated · Sep 2, 2026
Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutor
Sandbox only
Install targets
Codex install prompt
Install the "code-documenter" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/code-documenter. 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: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. 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":"jeffallan-code-documenter","task":"Install code-documenter","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
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill code-documenter
Maintenance
fresh
28d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
11K
88/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · SKILL.md does not explicitly describe setup prerequisites or environment requirements before running validation commands.
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill code-documenter
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 Jeffallan/claude-skills --skill code-documenterDo 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
28.0K Stars
npx skills add assafelovic/gpt-researcher
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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
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%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-code-documenter/install
Agent should check
Copy prompt
Task: Use code-documenter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install
Install command: npx skills add Jeffallan/claude-skills --skill code-documenter
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/jeffallan-code-documenter/install
LLM text format
/api/skills/jeffallan-code-documenter/install?format=text
Find alternatives
/api/skills/search?q=code-documenter&limit=3
Agent prompt
Use code-documenter for this task. Review https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install, then install with: npx skills add Jeffallan/claude-skills --skill code-documenterRegistry 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/jeffallan-code-documenter
LLM text
/api/registry/manifest/jeffallan-code-documenter?format=text
Install alias
/api/registry/install/jeffallan-code-documenter
Recommend
/api/registry/recommend?task=Use%20code-documenter%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
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
Coding agents
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
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
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--- name: code-documenter description: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: quality triggers: documentation, docstrings, OpenAPI, Swagger, JSDoc, comments, API docs, tutorials, user guides, doc site role: specialist scope: implementation output-format: code related-skills: spec-miner, fullstack-guardian, code-reviewer ---
# Code Documenter
Documentation specialist for inline documentation, API specs, documentation sites, and developer guides.
## When to Use This Skill
Applies to any task involving code documentation, API specs, or developer-facing guides. See the reference table below for specific sub-topics.
## Core Workflow
1. **Discover** - Ask for format preference and exclusions 2. **Detect** - Identify language and framework 3. **Analyze** - Find undocumented code 4. **Document** - Apply consistent format 5. **Validate** - Test all code examples compile/run: - Python: `python -m doctest file.py` for doctest blocks; `pytest --doctest-modules` for module-wide checks - TypeScript/JavaScript: `tsc --noEmit` to confirm typed examples compile - OpenAPI: validate spec with `npx @redocly/cli lint openapi.yaml` - If validation fails: fix examples and re-validate before proceeding to the Report step 6. **Report** - Generate coverage summary
## Quick-Reference Examples
### Google-style Docstring (Python) ```python def fetch_user(user_id: int, active_only: bool = True) -> dict: """Fetch a single user record by ID.
Args: user_id: Unique identifier for the user. active_only: When True, raise an error for inactive users.
Returns: A dict containing user fields (id, name, email, created_at).
Raises: ValueError: If user_id is not a positive integer. UserNotFoundError: If no matching user exists. """ ```
### NumPy-style Docstring (Python) ```python def compute_similarity(vec_a: np.ndarray, vec_b: np.ndarray) -> float: """Compute cosine similarity between two vectors.
Parameters ---------- vec_a : np.ndarray First input vector, shape (n,). vec_b : np.ndarray Second input vector, shape (n,).
Returns ------- float Cosine similarity in the range [-1, 1].
Raises ------ ValueError If vectors have different lengths. """ ```
### JSDoc (TypeScript) ```typescript /** * Fetches a paginated list of products from the catalog. * * @param {string} categoryId - The category to filter by. * @param {number} [page=1] - Page number (1-indexed). * @param {number} [limit=20] - Maximum items per page. * @returns {Promise<ProductPage>} Resolves to a page of product records. * @throws {NotFoundError} If the category does not exist. * * @example * const page = await fetchProducts('electronics', 2, 10); * console.log(page.items); */ async function fetchProducts( categoryId: string, page = 1, limit = 20 ): Promise<ProductPage> { ... } ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Python Docstrings | `references/python-docstrings.md` | Google, NumPy, Sphinx styles | | TypeScript JSDoc | `references/typescript-jsdoc.md` | JSDoc patterns, TypeScript | | FastAPI/Django API | `references/api-docs-fastapi-django.md` | Python API documentation | | NestJS/Express API | `references/api-docs-nestjs-express.md` | Node.js API documentation | | Coverage Reports | `references/coverage-reports.md` | Generating documentation reports | | Documentation Systems | `references/documentation-systems.md` | Doc sites, static generators, search, testing | | Interactive API Docs | `references/interactive-api-docs.md` | OpenAPI 3.1, portals, GraphQL, WebSocket, gRPC, SDKs | | User Guides & Tutorials | `references/user-guides-tutorials.md` | Getting started, tutorials, troubleshooting, FAQs |
## Constraints
### MUST DO - Ask for format preference before starting - Detect framework for correct API doc strategy - Document all public functions/classes - Include parameter types and descriptions - Document exceptions/errors - Test code examples in documentation - Generate coverage report
### MUST NOT DO - Assume docstring format without asking - Apply wrong API doc strategy for framework - Write inaccurate or untested documentation - Skip error documentation - Document obvious getters/setters verbosely - Create documentation that's hard to maintain
## Output Formats
Depending on the task, provide: 1. **Code Documentation:** Documented files + coverage report 2. **API Docs:** OpenAPI specs + portal configuration 3. **Doc Sites:** Site configuration + content structure + build instructions 4. **Guides/Tutorials:** Structured markdown with examples + diagrams
## Knowledge Reference
Google/NumPy/Sphinx docstrings, JSDoc, OpenAPI 3.0/3.1, AsyncAPI, gRPC/protobuf, FastAPI, Django, NestJS, Express, GraphQL, Docusaurus, MkDocs, VitePress, Swagger UI, Redoc, Stoplight
[Documentation](https://jeffallan.github.io/claude-skills/skills/quality/code-documenter/)
Source provenance
Decision snapshot
11,284 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 code-documenter, ready for a manual X post.
A practical pick for a web workflow: code-documenter: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations,... 11.3K stars https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x
Listing + install path for code-documenter: https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x Install: npx skills add Jeffallan/claude-skills --skill code-documenter
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 Jeffallan 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/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter/audit)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Jeffallan
@jeffallan
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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38.4K StarsGPT Researcher
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28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "code-documenter" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/code-documenter. 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: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. 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":"jeffallan-code-documenter","task":"Install code-documenter","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
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill code-documenter
Maintenance
fresh
28d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
11K
88/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · SKILL.md does not explicitly describe setup prerequisites or environment requirements before running validation commands.
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill code-documenter
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 Jeffallan/claude-skills --skill code-documenterDo not use when
Alternative
1.9K Stars
npx skills add yanliudesign/mono-color-skill --skill mono-color
Alternative
61.0K Stars
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Alternative
38.4K Stars
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Alternative
28.0K Stars
npx skills add assafelovic/gpt-researcher
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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
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%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-code-documenter/install
Agent should check
Copy prompt
Task: Use code-documenter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install
Install command: npx skills add Jeffallan/claude-skills --skill code-documenter
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/jeffallan-code-documenter/install
LLM text format
/api/skills/jeffallan-code-documenter/install?format=text
Find alternatives
/api/skills/search?q=code-documenter&limit=3
Agent prompt
Use code-documenter for this task. Review https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install, then install with: npx skills add Jeffallan/claude-skills --skill code-documenterRegistry 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/jeffallan-code-documenter
LLM text
/api/registry/manifest/jeffallan-code-documenter?format=text
Install alias
/api/registry/install/jeffallan-code-documenter
Recommend
/api/registry/recommend?task=Use%20code-documenter%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
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
Coding agents
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
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing 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
Run autonomous deep research over web and local sources
--- name: code-documenter description: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: quality triggers: documentation, docstrings, OpenAPI, Swagger, JSDoc, comments, API docs, tutorials, user guides, doc site role: specialist scope: implementation output-format: code related-skills: spec-miner, fullstack-guardian, code-reviewer ---
# Code Documenter
Documentation specialist for inline documentation, API specs, documentation sites, and developer guides.
## When to Use This Skill
Applies to any task involving code documentation, API specs, or developer-facing guides. See the reference table below for specific sub-topics.
## Core Workflow
1. **Discover** - Ask for format preference and exclusions 2. **Detect** - Identify language and framework 3. **Analyze** - Find undocumented code 4. **Document** - Apply consistent format 5. **Validate** - Test all code examples compile/run: - Python: `python -m doctest file.py` for doctest blocks; `pytest --doctest-modules` for module-wide checks - TypeScript/JavaScript: `tsc --noEmit` to confirm typed examples compile - OpenAPI: validate spec with `npx @redocly/cli lint openapi.yaml` - If validation fails: fix examples and re-validate before proceeding to the Report step 6. **Report** - Generate coverage summary
## Quick-Reference Examples
### Google-style Docstring (Python) ```python def fetch_user(user_id: int, active_only: bool = True) -> dict: """Fetch a single user record by ID.
Args: user_id: Unique identifier for the user. active_only: When True, raise an error for inactive users.
Returns: A dict containing user fields (id, name, email, created_at).
Raises: ValueError: If user_id is not a positive integer. UserNotFoundError: If no matching user exists. """ ```
### NumPy-style Docstring (Python) ```python def compute_similarity(vec_a: np.ndarray, vec_b: np.ndarray) -> float: """Compute cosine similarity between two vectors.
Parameters ---------- vec_a : np.ndarray First input vector, shape (n,). vec_b : np.ndarray Second input vector, shape (n,).
Returns ------- float Cosine similarity in the range [-1, 1].
Raises ------ ValueError If vectors have different lengths. """ ```
### JSDoc (TypeScript) ```typescript /** * Fetches a paginated list of products from the catalog. * * @param {string} categoryId - The category to filter by. * @param {number} [page=1] - Page number (1-indexed). * @param {number} [limit=20] - Maximum items per page. * @returns {Promise<ProductPage>} Resolves to a page of product records. * @throws {NotFoundError} If the category does not exist. * * @example * const page = await fetchProducts('electronics', 2, 10); * console.log(page.items); */ async function fetchProducts( categoryId: string, page = 1, limit = 20 ): Promise<ProductPage> { ... } ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Python Docstrings | `references/python-docstrings.md` | Google, NumPy, Sphinx styles | | TypeScript JSDoc | `references/typescript-jsdoc.md` | JSDoc patterns, TypeScript | | FastAPI/Django API | `references/api-docs-fastapi-django.md` | Python API documentation | | NestJS/Express API | `references/api-docs-nestjs-express.md` | Node.js API documentation | | Coverage Reports | `references/coverage-reports.md` | Generating documentation reports | | Documentation Systems | `references/documentation-systems.md` | Doc sites, static generators, search, testing | | Interactive API Docs | `references/interactive-api-docs.md` | OpenAPI 3.1, portals, GraphQL, WebSocket, gRPC, SDKs | | User Guides & Tutorials | `references/user-guides-tutorials.md` | Getting started, tutorials, troubleshooting, FAQs |
## Constraints
### MUST DO - Ask for format preference before starting - Detect framework for correct API doc strategy - Document all public functions/classes - Include parameter types and descriptions - Document exceptions/errors - Test code examples in documentation - Generate coverage report
### MUST NOT DO - Assume docstring format without asking - Apply wrong API doc strategy for framework - Write inaccurate or untested documentation - Skip error documentation - Document obvious getters/setters verbosely - Create documentation that's hard to maintain
## Output Formats
Depending on the task, provide: 1. **Code Documentation:** Documented files + coverage report 2. **API Docs:** OpenAPI specs + portal configuration 3. **Doc Sites:** Site configuration + content structure + build instructions 4. **Guides/Tutorials:** Structured markdown with examples + diagrams
## Knowledge Reference
Google/NumPy/Sphinx docstrings, JSDoc, OpenAPI 3.0/3.1, AsyncAPI, gRPC/protobuf, FastAPI, Django, NestJS, Express, GraphQL, Docusaurus, MkDocs, VitePress, Swagger UI, Redoc, Stoplight
[Documentation](https://jeffallan.github.io/claude-skills/skills/quality/code-documenter/)
Source provenance
Decision snapshot
11,284 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 code-documenter, ready for a manual X post.
A practical pick for a web workflow: code-documenter: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations,... 11.3K stars https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x
Listing + install path for code-documenter: https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x Install: npx skills add Jeffallan/claude-skills --skill code-documenter
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 Jeffallan 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/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter/audit)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Jeffallan
@jeffallan
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 StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "code-documenter" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/code-documenter. 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: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. 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":"jeffallan-code-documenter","task":"Install code-documenter","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
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill code-documenter
Maintenance
fresh
28d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
11K
88/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · SKILL.md does not explicitly describe setup prerequisites or environment requirements before running validation commands.
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill code-documenter
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 Jeffallan/claude-skills --skill code-documenterDo 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
28.0K Stars
npx skills add assafelovic/gpt-researcher
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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
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%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-code-documenter/install
Agent should check
Copy prompt
Task: Use code-documenter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install
Install command: npx skills add Jeffallan/claude-skills --skill code-documenter
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/jeffallan-code-documenter/install
LLM text format
/api/skills/jeffallan-code-documenter/install?format=text
Find alternatives
/api/skills/search?q=code-documenter&limit=3
Agent prompt
Use code-documenter for this task. Review https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install, then install with: npx skills add Jeffallan/claude-skills --skill code-documenterRegistry 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/jeffallan-code-documenter
LLM text
/api/registry/manifest/jeffallan-code-documenter?format=text
Install alias
/api/registry/install/jeffallan-code-documenter
Recommend
/api/registry/recommend?task=Use%20code-documenter%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
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
Coding agents
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
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing 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
Run autonomous deep research over web and local sources
--- name: code-documenter description: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: quality triggers: documentation, docstrings, OpenAPI, Swagger, JSDoc, comments, API docs, tutorials, user guides, doc site role: specialist scope: implementation output-format: code related-skills: spec-miner, fullstack-guardian, code-reviewer ---
# Code Documenter
Documentation specialist for inline documentation, API specs, documentation sites, and developer guides.
## When to Use This Skill
Applies to any task involving code documentation, API specs, or developer-facing guides. See the reference table below for specific sub-topics.
## Core Workflow
1. **Discover** - Ask for format preference and exclusions 2. **Detect** - Identify language and framework 3. **Analyze** - Find undocumented code 4. **Document** - Apply consistent format 5. **Validate** - Test all code examples compile/run: - Python: `python -m doctest file.py` for doctest blocks; `pytest --doctest-modules` for module-wide checks - TypeScript/JavaScript: `tsc --noEmit` to confirm typed examples compile - OpenAPI: validate spec with `npx @redocly/cli lint openapi.yaml` - If validation fails: fix examples and re-validate before proceeding to the Report step 6. **Report** - Generate coverage summary
## Quick-Reference Examples
### Google-style Docstring (Python) ```python def fetch_user(user_id: int, active_only: bool = True) -> dict: """Fetch a single user record by ID.
Args: user_id: Unique identifier for the user. active_only: When True, raise an error for inactive users.
Returns: A dict containing user fields (id, name, email, created_at).
Raises: ValueError: If user_id is not a positive integer. UserNotFoundError: If no matching user exists. """ ```
### NumPy-style Docstring (Python) ```python def compute_similarity(vec_a: np.ndarray, vec_b: np.ndarray) -> float: """Compute cosine similarity between two vectors.
Parameters ---------- vec_a : np.ndarray First input vector, shape (n,). vec_b : np.ndarray Second input vector, shape (n,).
Returns ------- float Cosine similarity in the range [-1, 1].
Raises ------ ValueError If vectors have different lengths. """ ```
### JSDoc (TypeScript) ```typescript /** * Fetches a paginated list of products from the catalog. * * @param {string} categoryId - The category to filter by. * @param {number} [page=1] - Page number (1-indexed). * @param {number} [limit=20] - Maximum items per page. * @returns {Promise<ProductPage>} Resolves to a page of product records. * @throws {NotFoundError} If the category does not exist. * * @example * const page = await fetchProducts('electronics', 2, 10); * console.log(page.items); */ async function fetchProducts( categoryId: string, page = 1, limit = 20 ): Promise<ProductPage> { ... } ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Python Docstrings | `references/python-docstrings.md` | Google, NumPy, Sphinx styles | | TypeScript JSDoc | `references/typescript-jsdoc.md` | JSDoc patterns, TypeScript | | FastAPI/Django API | `references/api-docs-fastapi-django.md` | Python API documentation | | NestJS/Express API | `references/api-docs-nestjs-express.md` | Node.js API documentation | | Coverage Reports | `references/coverage-reports.md` | Generating documentation reports | | Documentation Systems | `references/documentation-systems.md` | Doc sites, static generators, search, testing | | Interactive API Docs | `references/interactive-api-docs.md` | OpenAPI 3.1, portals, GraphQL, WebSocket, gRPC, SDKs | | User Guides & Tutorials | `references/user-guides-tutorials.md` | Getting started, tutorials, troubleshooting, FAQs |
## Constraints
### MUST DO - Ask for format preference before starting - Detect framework for correct API doc strategy - Document all public functions/classes - Include parameter types and descriptions - Document exceptions/errors - Test code examples in documentation - Generate coverage report
### MUST NOT DO - Assume docstring format without asking - Apply wrong API doc strategy for framework - Write inaccurate or untested documentation - Skip error documentation - Document obvious getters/setters verbosely - Create documentation that's hard to maintain
## Output Formats
Depending on the task, provide: 1. **Code Documentation:** Documented files + coverage report 2. **API Docs:** OpenAPI specs + portal configuration 3. **Doc Sites:** Site configuration + content structure + build instructions 4. **Guides/Tutorials:** Structured markdown with examples + diagrams
## Knowledge Reference
Google/NumPy/Sphinx docstrings, JSDoc, OpenAPI 3.0/3.1, AsyncAPI, gRPC/protobuf, FastAPI, Django, NestJS, Express, GraphQL, Docusaurus, MkDocs, VitePress, Swagger UI, Redoc, Stoplight
[Documentation](https://jeffallan.github.io/claude-skills/skills/quality/code-documenter/)
Source provenance
Decision snapshot
11,284 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 code-documenter, ready for a manual X post.
A practical pick for a web workflow: code-documenter: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations,... 11.3K stars https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x
Listing + install path for code-documenter: https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x Install: npx skills add Jeffallan/claude-skills --skill code-documenter
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 Jeffallan 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/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter/audit)
[](https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Jeffallan
@jeffallan
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 StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsSandbox only
Install targets
Codex install prompt
Install the "code-documenter" agent skill from https://github.com/Jeffallan/claude-skills/tree/main/skills/code-documenter. 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: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. 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":"jeffallan-code-documenter","task":"Install code-documenter","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
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Jeffallan/claude-skills --skill code-documenter
Maintenance
fresh
28d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
11K
88/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · SKILL.md does not explicitly describe setup prerequisites or environment requirements before running validation commands.
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
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
11K GitHub stars
Repo activity
11K stars, 1.1K forks
Maintenance
28d since push
License
MIT
Install
npx skills add Jeffallan/claude-skills --skill code-documenter
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 Jeffallan/claude-skills --skill code-documenterDo 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
28.0K Stars
npx skills add assafelovic/gpt-researcher
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.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
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%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jeffallan-code-documenter/install
Agent should check
Copy prompt
Task: Use code-documenter in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20code-documenter%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install
Install command: npx skills add Jeffallan/claude-skills --skill code-documenter
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/jeffallan-code-documenter/install
LLM text format
/api/skills/jeffallan-code-documenter/install?format=text
Find alternatives
/api/skills/search?q=code-documenter&limit=3
Agent prompt
Use code-documenter for this task. Review https://www.openagentskill.com/api/skills/jeffallan-code-documenter/install, then install with: npx skills add Jeffallan/claude-skills --skill code-documenterRegistry metadata
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Manifest
/api/registry/manifest/jeffallan-code-documenter
LLM text
/api/registry/manifest/jeffallan-code-documenter?format=text
Install alias
/api/registry/install/jeffallan-code-documenter
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/api/registry/recommend?task=Use%20code-documenter%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Claude Code
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
Coding agents
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
PASS11K GitHub stars
Stars/forks activity
PASS11K stars, 1.1K forks; issue activity unavailable in current metadata
Recent maintenance
PASS28d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
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--- name: code-documenter description: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use when adding docstrings to functions or classes, creating API documentation, building documentation sites, or writing tutorials and user guides. Invoke for OpenAPI/Swagger specs, JSDoc, doc portals, getting started guides. license: MIT metadata: author: https://github.com/Jeffallan version: "1.1.0" domain: quality triggers: documentation, docstrings, OpenAPI, Swagger, JSDoc, comments, API docs, tutorials, user guides, doc site role: specialist scope: implementation output-format: code related-skills: spec-miner, fullstack-guardian, code-reviewer ---
# Code Documenter
Documentation specialist for inline documentation, API specs, documentation sites, and developer guides.
## When to Use This Skill
Applies to any task involving code documentation, API specs, or developer-facing guides. See the reference table below for specific sub-topics.
## Core Workflow
1. **Discover** - Ask for format preference and exclusions 2. **Detect** - Identify language and framework 3. **Analyze** - Find undocumented code 4. **Document** - Apply consistent format 5. **Validate** - Test all code examples compile/run: - Python: `python -m doctest file.py` for doctest blocks; `pytest --doctest-modules` for module-wide checks - TypeScript/JavaScript: `tsc --noEmit` to confirm typed examples compile - OpenAPI: validate spec with `npx @redocly/cli lint openapi.yaml` - If validation fails: fix examples and re-validate before proceeding to the Report step 6. **Report** - Generate coverage summary
## Quick-Reference Examples
### Google-style Docstring (Python) ```python def fetch_user(user_id: int, active_only: bool = True) -> dict: """Fetch a single user record by ID.
Args: user_id: Unique identifier for the user. active_only: When True, raise an error for inactive users.
Returns: A dict containing user fields (id, name, email, created_at).
Raises: ValueError: If user_id is not a positive integer. UserNotFoundError: If no matching user exists. """ ```
### NumPy-style Docstring (Python) ```python def compute_similarity(vec_a: np.ndarray, vec_b: np.ndarray) -> float: """Compute cosine similarity between two vectors.
Parameters ---------- vec_a : np.ndarray First input vector, shape (n,). vec_b : np.ndarray Second input vector, shape (n,).
Returns ------- float Cosine similarity in the range [-1, 1].
Raises ------ ValueError If vectors have different lengths. """ ```
### JSDoc (TypeScript) ```typescript /** * Fetches a paginated list of products from the catalog. * * @param {string} categoryId - The category to filter by. * @param {number} [page=1] - Page number (1-indexed). * @param {number} [limit=20] - Maximum items per page. * @returns {Promise<ProductPage>} Resolves to a page of product records. * @throws {NotFoundError} If the category does not exist. * * @example * const page = await fetchProducts('electronics', 2, 10); * console.log(page.items); */ async function fetchProducts( categoryId: string, page = 1, limit = 20 ): Promise<ProductPage> { ... } ```
## Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When | |-------|-----------|-----------| | Python Docstrings | `references/python-docstrings.md` | Google, NumPy, Sphinx styles | | TypeScript JSDoc | `references/typescript-jsdoc.md` | JSDoc patterns, TypeScript | | FastAPI/Django API | `references/api-docs-fastapi-django.md` | Python API documentation | | NestJS/Express API | `references/api-docs-nestjs-express.md` | Node.js API documentation | | Coverage Reports | `references/coverage-reports.md` | Generating documentation reports | | Documentation Systems | `references/documentation-systems.md` | Doc sites, static generators, search, testing | | Interactive API Docs | `references/interactive-api-docs.md` | OpenAPI 3.1, portals, GraphQL, WebSocket, gRPC, SDKs | | User Guides & Tutorials | `references/user-guides-tutorials.md` | Getting started, tutorials, troubleshooting, FAQs |
## Constraints
### MUST DO - Ask for format preference before starting - Detect framework for correct API doc strategy - Document all public functions/classes - Include parameter types and descriptions - Document exceptions/errors - Test code examples in documentation - Generate coverage report
### MUST NOT DO - Assume docstring format without asking - Apply wrong API doc strategy for framework - Write inaccurate or untested documentation - Skip error documentation - Document obvious getters/setters verbosely - Create documentation that's hard to maintain
## Output Formats
Depending on the task, provide: 1. **Code Documentation:** Documented files + coverage report 2. **API Docs:** OpenAPI specs + portal configuration 3. **Doc Sites:** Site configuration + content structure + build instructions 4. **Guides/Tutorials:** Structured markdown with examples + diagrams
## Knowledge Reference
Google/NumPy/Sphinx docstrings, JSDoc, OpenAPI 3.0/3.1, AsyncAPI, gRPC/protobuf, FastAPI, Django, NestJS, Express, GraphQL, Docusaurus, MkDocs, VitePress, Swagger UI, Redoc, Stoplight
[Documentation](https://jeffallan.github.io/claude-skills/skills/quality/code-documenter/)
Source provenance
Decision snapshot
11,284 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 code-documenter, ready for a manual X post.
A practical pick for a web workflow: code-documenter: Generates, formats, and validates technical documentation — including docstrings, OpenAPI/Swagger specs, JSDoc annotations,... 11.3K stars https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x
Listing + install path for code-documenter: https://www.openagentskill.com/skills/jeffallan-code-documenter?ref=x Install: npx skills add Jeffallan/claude-skills --skill code-documenter
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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
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61.0K StarsAcademic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
38.4K StarsGPT Researcher
Run autonomous deep research over web and local sources
28.0K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
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
Install readiness
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
Install readiness
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
Install readiness