.claude/skills/doc-generator/SKILL.md
Generates comprehensive documentation from code, APIs, and specifications. Creates API documentation, developer guides, architecture docs, and user manuals with examples and tutorials.
npx skillsauth add oimiragieo/agent-studio doc-generatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Mode: Cognitive/Prompt-Driven — No standalone utility script; use via agent context.
<identity> Documentation Generator Skill - Generates comprehensive documentation from code, APIs, and specifications including API docs, developer guides, architecture documentation, and user manuals. </identity> <capabilities> - Generating API documentation - Creating developer guides - Documenting architecture - Creating user manuals - Generating OpenAPI/Swagger specs - Updating existing documentation </capabilities> <instructions> <execution_process>Determine documentation type:
Gather documentation content:
Create documentation:
Validate quality:
Integration with Developer Agent:
<best_practices>
# Users API
## Endpoints
### GET /api/users
List all users with pagination.
**Query Parameters:**
- `page` (number): Page number (default: 1)
- `limit` (number): Items per page (default: 10)
**Response:**
```json
{
"data": [
{
"id": "uuid",
"email": "[email protected]",
"name": "User Name"
}
],
"pagination": {
"page": 1,
"limit": 10,
"total": 100
}
}
```
Example:
curl -X GET "http://localhost:3000/api/users?page=1&limit=10"
</formatting_example>
<formatting_example>
**Developer Guide**
```markdown
# Developer Guide
## Getting Started
### Prerequisites
- Node.js 18+
- pnpm 8+
### Installation
```bash
pnpm install
pnpm dev
[Architecture overview]
[Development process]
</formatting_example>
</examples>
<examples>
<usage_example>
**Example Commands**:
Generate API documentation for app/api/users
Generate developer guide for this project
Generate architecture documentation
Generate OpenAPI specification from API routes
</usage_example>
</examples>
## Iron Laws
1. **ALWAYS** extract documentation from code as the source of truth — never write documentation that describes how you wish the code worked rather than how it actually works.
2. **NEVER** publish documentation with non-runnable examples — every code example must be copy-paste ready and verified to work before the documentation is written.
3. **ALWAYS** structure documentation with the progressive disclosure pattern (Setup → Quick Start → Reference → Troubleshooting) — readers need orientation before details.
4. **NEVER** document internal implementation details that consumers don't need to know — documentation of private internals creates false contracts and maintenance burden.
5. **ALWAYS** regenerate documentation when the code it describes changes — stale documentation is worse than no documentation because it actively misleads users.
## Anti-Patterns
| Anti-Pattern | Why It Fails | Correct Approach |
|---|---|---|
| No working code examples | Users can't understand how to use the API without runnable examples | Include minimal copy-paste examples verified to work for every public API |
| Aspirational documentation (describes intended behavior) | Creates false contracts; users file bugs when docs don't match code | Read the actual implementation first; document only observed behavior |
| Documenting private/internal APIs | Creates implicit dependencies; refactoring breaks "documented" behavior | Only document public APIs; mark internal functions with `@internal` if needed |
| Monolithic reference dumps without Quick Start | Users abandon before finding what they need | Always include a Quick Start section with the simplest possible working example |
| Documentation in a separate PR from code change | Docs drift immediately; often abandoned | Require documentation updates in the same PR as API changes |
## Memory Protocol (MANDATORY)
**Before starting:**
Read `.claude/context/memory/learnings.md`
**After completing:**
- New pattern -> `.claude/context/memory/learnings.md`
- Issue found -> `.claude/context/memory/issues.md`
- Decision made -> `.claude/context/memory/decisions.md`
> ASSUME INTERRUPTION: If it's not in memory, it didn't happen.
tools
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activity, electrodermal responses, respiratory patterns, muscle activity, or eye movements. Applicable for heart rate variability analysis, event-related potentials, complexity measures, autonomic nervous system assessment, psychophysiology research, and multi-modal physiological signal integration.
tools
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
data-ai
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
development
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.