Use when creating or rewriting README.md for projects. Triggers on "write README", "create README", "update README". Creates human-focused documentation with proper structure.
npx skills add https://github.com/serejaris/personal-corp-skills --skill readme-generator
Generate human-focused README files following current best practices.
Core principle: README is for humans, not agents. Research → Analyze → Write.
Model recommendation: Use Task tool with model: haiku for README generation — faster and cheaper for documentation tasks.
digraph readme_flow {
rankdir=TB;
"1. Research best practices via Exa" [shape=box];
"2. Analyze project structure" [shape=box];
"3. Identify project type" [shape=diamond];
"4. Write README with appropriate sections" [shape=box];
"5. Commit and push if requested" [shape=box];
"1. Research best practices via Exa" -> "2. Analyze project structure";
"2. Analyze project structure" -> "3. Identify project type";
"3. Identify project type" -> "4. Write README with appropriate sections";
"4. Write README with appropriate sections" -> "5. Commit and push if requested";
}
Always search first for current README best practices:
mcp__exa__web_search_exa: "best practices README.md {year} {project_type}"
Look for:
Read these files to understand the project:
CLAUDE.md or existing docspackage.json / pyproject.toml / Cargo.toml| Type | Key Sections |
|------|--------------|
| CLI Tool | Usage examples, Options table, Installation |
| Library/SDK | API overview, Quick start, Examples |
| Web App | Features, Quick start, Architecture diagram |
| Full-stack | Architecture, Quick start both parts, Tech stack |
| AI/ML | Model info, Requirements (GPU), Examples |
Essential (all projects):
# Project Name
**One-line value proposition.**
Brief description (2-3 sentences max).
## What It Does / Features
- Bullet points of capabilities
- Focus on VALUE not implementation
## Quick Start
Minimal steps to get running (< 5 commands)
## Requirements
- Runtime versions
- System requirements
- Disk space if significant
## Usage
Examples for common cases
## Tech Stack (if non-trivial)
Table format preferred
## License
Optional by project type:
| Section | When to Include |
|---------|-----------------|
| Architecture diagram | Web apps, full-stack, complex systems |
| Project Structure | Open source, contribution expected |
| API Reference | Libraries, SDKs (or link to docs) |
| Related Skills | If Claude Code skills exist |
| CLI Options table | CLI tools |
| Configuration | Apps with config files |
| Known Limitations | If significant gotchas exist |
DO:
DON'T:
If project has Claude Code skills, add:
## Related Skills
| Skill | Trigger | What it does |
|-------|---------|--------------|
| `skill-name` | "trigger phrase" | Brief description |
| Project has... | Include |
|----------------|---------|
| Web UI | Screenshot or architecture |
| CLI | Options table, examples |
| API | Endpoint summary (not full docs) |
| AI/ML | Model, hardware requirements |
| Claude skills | Related Skills table |
| Complex arch | Mermaid diagram |
| Mistake | Fix |
|---------|-----|
| API docs dump | Link to separate file or remove |
| No quick start | Add "clone → run" in < 5 steps |
| Wall of text | Use bullets, tables, code blocks |
| Missing requirements | Always list runtime + system reqs |
| Generic description | Start with specific value prop |
# Project Name
**Value proposition in one line.**
Brief description.
## Features
- Feature 1
- Feature 2
## Quick Start
\`\`\`bash
./start.sh
\`\`\`
## Requirements
- OS/hardware
- Runtime versions
## Tech Stack
| Layer | Stack |
|-------|-------|
## Architecture
\`\`\`mermaid
flowchart...
\`\`\`
## Project Structure
\`\`\`
project/
├── ...
\`\`\`
## Related Skills
| Skill | Trigger | Description |
## Development
How to test, build
## License
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take serejaris/readme-generator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.