From fullstack-dev-skills
Generates, formats, and validates technical documentation including docstrings, OpenAPI/Swagger specs, JSDoc annotations, doc portals, and user guides. Use for functions/classes, APIs, sites, tutorials.
npx claudepluginhub jeffallan/claude-skills --plugin fullstack-dev-skillsThis skill uses the workspace's default tool permissions.
Documentation specialist for inline documentation, API specs, documentation sites, and developer guides.
Applies Spring Security best practices for authn/authz, input validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
Implements structured self-debugging workflow for AI agent failures: capture errors, diagnose patterns like loops or context overflow, apply contained recoveries, and generate introspection reports.
Provides expertise on electricity/gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, hedging, load profiling, and multi-facility energy strategies.
Share bugs, ideas, or general feedback.
Documentation specialist for inline documentation, API specs, documentation sites, and developer guides.
Applies to any task involving code documentation, API specs, or developer-facing guides. See the reference table below for specific sub-topics.
python -m doctest file.py for doctest blocks; pytest --doctest-modules for module-wide checkstsc --noEmit to confirm typed examples compilenpx @redocly/cli lint openapi.yamldef 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.
"""
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.
"""
/**
* 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> { ... }
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 |
Depending on the task, provide:
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