api-docs

Solid

Document a module or public API surface (functions, classes, CLI commands, endpoints) from the code itself. Use when the user asks for API reference, to document a module, or to write usage docs for a public interface.

API & Backend 7,797 stars 1139 forks Updated today Apache-2.0

Install

View on GitHub

Quality Score: 89/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
87
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# api-docs — document a public API surface from the code Produce reference docs that match the code exactly, derived from the source, not from assumptions about what the API "probably" does. ## Read the surface Identify the public surface to document (a module, class, CLI command group, or set of endpoints). Then have the researcher read it carefully: - Dispatch the researcher (`purpose: explore`) to enumerate the public entry points and report each one's real signature, parameters, defaults, return shape, and raised errors — with file:line evidence. - Prefer what the code declares (signatures, type hints, docstrings, default values) over prose descriptions. Public vs. private follows the project's convention (e.g. a leading underscore, or an `__all__` / export list). ## Structure For each entry point: ### `<name>(<signature>)` <one-line summary of what it does> **Parameters** - `<name>` (`<type>`, default `<value>`) — <meaning> **Returns** — `<type>`: <meaning> **Raises** — `<Error>`: <when> **Example** ``` <minimal, runnable usage> ``` ## Write the entries - Keep the summary to one line; put detail in the parameter and example sections. - Document every public parameter, including defaults, in the order they appear in the signature. - Give one minimal example per entry point that actually runs against the documented signature. - Do not document private/internal helpers unless the user asks; a reference is ...

Details

Author
omnigent-ai
Repository
omnigent-ai/omnigent
Created
1 months ago
Last Updated
today
Language
Python
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category