api-docs-generator

Audits and enhances API documentation for FastAPI and REST endpoints. Identifies missing descriptions, incomplete response codes, missing examples, and generates enhanced docstrings, Pydantic model examples, and OpenAPI spec improvements. Triggers on: "generate API docs", "document this API", "OpenAPI for", "add examples to", "improve docstrings", "API documentation audit", "FastAPI docs", "document endpoints", "API reference", "swagger docs", "REST API docs", "endpoint documentation", "response documentation". Use this skill when API endpoints need documentation or documentation audit.

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "api-docs-generator" with this command: npx skills add mathews-tom/praxis-skills/mathews-tom-praxis-skills-api-docs-generator

API Docs Generator

Audits API endpoint documentation for completeness, generates enhanced docstrings with proper parameter descriptions and examples, documents all response codes, and produces Pydantic model examples — bridging the gap between auto-generated OpenAPI specs and genuinely useful API documentation.

Reference Files

FileContentsLoad When
references/fastapi-patterns.mdFastAPI-specific documentation patterns, Path/Query/Body parameter docsFastAPI endpoint
references/example-generation.mdCreating realistic field examples, model_config patternsExample values needed
references/response-codes.mdStandard HTTP response documentation, error response schemasResponse documentation needed
references/openapi-enhancement.mdOpenAPI spec enrichment, tag organization, schema documentationOpenAPI spec review

Prerequisites

  • Access to the API source code (route definitions, models)
  • Framework identification (FastAPI, Flask, Django REST, Express)

Workflow

Phase 1: Analyze Endpoints

  1. Inventory endpoints — List all routes with HTTP method, path, handler function.
  2. Identify models — Request bodies (Pydantic models, dataclasses), response models, query parameters, path parameters.
  3. Map dependencies — Authentication requirements, middleware, shared dependencies.
  4. Read existing docs — Current docstrings, OpenAPI metadata, inline documentation.

Phase 2: Audit Documentation

For each endpoint, check:

CheckWhat to VerifyCommon Gap
Endpoint descriptionHandler has a docstringMissing or "TODO"
Parameter descriptionsEach param has description=Path params undocumented
Request exampleBody model has example= or json_schema_extraNo request example
Response modelresponse_model= specifiedReturns raw dict
Error responses4xx/5xx documented with responses=Only 200 documented
TagsEndpoint assigned to a tag groupUntagged endpoints

Phase 3: Generate Enhancements

  1. Docstrings — Write clear endpoint descriptions that explain purpose, not implementation. Include Raises section for documented errors.
  2. Parameter metadata — Add description, example, ge/le/regex to Path, Query, Body parameters.
  3. Model examples — Add Field(example=...) and model_config with json_schema_extra.
  4. Error responses — Document every possible error status code with response schema.
  5. Tags — Group endpoints by resource or feature area.

Phase 4: Output

Produce a coverage report and enhanced code.

Output Format

## API Documentation Audit

### Coverage Summary
| Metric | Count | Documented | Coverage |
|--------|-------|------------|----------|
| Endpoints | {N} | {M} | {%} |
| Parameters | {N} | {M} | {%} |
| Response codes | {N} | {M} | {%} |
| Models with examples | {N} | {M} | {%} |

### Gaps Identified

| # | Endpoint | Issue | Severity |
|---|----------|-------|----------|
| 1 | `{METHOD} {path}` | {issue} | {High/Medium/Low} |

### Enhanced Code

#### `{METHOD} {path}`

```python
@router.{method}(
    "{path}",
    response_model={ResponseModel},
    summary="{Short summary}",
    responses={{
        404: {{"description": "{Not found description}"}},
        422: {{"description": "Validation error"}},
    }},
    tags=["{tag}"],
)
async def {handler}(
    {param}: {type} = Path(..., description="{description}", example={example}),
) -> {ResponseModel}:
    """
    {Full description of what this endpoint does.}

    {Additional context about behavior, side effects, or important notes.}

    Raises:
        404: {Entity} not found
        403: Insufficient permissions
    """

Model: {ModelName}

class {ModelName}(BaseModel):
    {field}: {type} = Field(..., description="{description}", example={example})

    model_config = ConfigDict(
        json_schema_extra={{
            "example": {{
                "{field}": {example_value},
            }}
        }}
    )

## Calibration Rules

1. **Describe behavior, not implementation.** "Retrieves the user's profile" is good.
   "Calls `db.query(User).filter_by(id=id).first()`" is implementation leakage.
2. **Realistic examples.** `"alice@example.com"` not `"string"`. `42` not `0`.
   Examples serve as documentation — they should look like real data.
3. **Document every error code.** If the endpoint can return 404, document it. Users
   should never encounter an undocumented error response.
4. **Consistent style.** All endpoints in the same API should use the same documentation
   patterns — same tag naming, same description style, same example format.
5. **Don't duplicate the type system.** If the parameter type is `int`, don't write
   "An integer" as the description. Write what the integer represents: "Unique user
   identifier."

## Error Handling

| Problem | Resolution |
|---------|------------|
| Non-FastAPI framework | Adapt patterns. Document the HTTP contract regardless of framework. |
| No type hints on handlers | Infer types from usage, document uncertainty, suggest adding type hints. |
| Massive API (50+ endpoints) | Prioritize undocumented and public endpoints. Batch output by resource. |
| Generated API (OpenAPI → code) | Document at the spec level, not the generated code level. |
| Authentication varies by endpoint | Document auth requirements per endpoint group. |

## When NOT to Generate

Push back if:
- The API design itself is wrong (bad URL patterns, wrong HTTP methods) — fix the API first
- The user wants SDK generation from OpenAPI — different tool
- The code is a prototype that will change significantly — document after stabilization

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Security

dependency-audit

No summary provided by upstream source.

Repository SourceNeeds Review
Security

rag-auditor

No summary provided by upstream source.

Repository SourceNeeds Review
General

manuscript-review

No summary provided by upstream source.

Repository SourceNeeds Review