code-documenter▌
jeffallan/claude-skills · updated Apr 8, 2026
Generates and validates technical documentation across docstrings, API specs, and developer guides.
- ›Supports multiple docstring formats (Google, NumPy, Sphinx for Python; JSDoc for TypeScript) and API specification standards (OpenAPI, AsyncAPI, gRPC)
- ›Includes validation workflows for each format: doctest/pytest for Python, TypeScript compilation checks, and Redocly linting for OpenAPI specs
- ›Covers inline code documentation, interactive API portals, documentation site generation, and
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
- Discover - Ask for format preference and exclusions
- Detect - Identify language and framework
- Analyze - Find undocumented code
- Document - Apply consistent format
- Validate - Test all code examples compile/run:
- Python:
python -m doctest file.pyfor doctest blocks;pytest --doctest-modulesfor module-wide checks - TypeScript/JavaScript:
tsc --noEmitto 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
- Python:
- Report - Generate coverage summary
Quick-Reference Examples
Google-style Docstring (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)
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)
/**
* 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:
- Code Documentation: Documented files + coverage report
- API Docs: OpenAPI specs + portal configuration
- Doc Sites: Site configuration + content structure + build instructions
- 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★51 reviews- ★★★★★Aisha Khan· Dec 28, 2024
Useful defaults in code-documenter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nia Shah· Dec 24, 2024
code-documenter has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Ganesh Mohane· Dec 20, 2024
I recommend code-documenter for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Emma Okafor· Nov 19, 2024
We added code-documenter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Nia Gupta· Nov 15, 2024
Solid pick for teams standardizing on skills: code-documenter is focused, and the summary matches what you get after install.
- ★★★★★Aditi Dixit· Oct 18, 2024
Useful defaults in code-documenter — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan Harris· Oct 10, 2024
Solid pick for teams standardizing on skills: code-documenter is focused, and the summary matches what you get after install.
- ★★★★★Michael Shah· Oct 6, 2024
We added code-documenter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Evelyn Patel· Sep 25, 2024
I recommend code-documenter for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Michael Srinivasan· Sep 21, 2024
Registry listing for code-documenter matched our evaluation — installs cleanly and behaves as described in the markdown.
showing 1-10 of 51