readme-generator
Skill243 starsChanged 3 months agoMITView on GitHub
Use when creating or rewriting README.md for projects. Triggers on "write README", "create README", "update README". Creates human-focused documentation with proper structure.
37 other projects use a version of this.
Adopted by
Most recently taken up by
- dmccreary/ibook-skillstheir own version, first seen Nov 3, 2026
- Sagargupta16/agent-recipestheir own version, first seen Nov 1, 2026
- jaskirat1616/grok-skillstheir own version, first seen Nov 1, 2026
- wedsamuel1230/arduino-skillstheir own version, first seen Nov 1, 2026
- Tejas9406/vibe-coding-ostheir own version, first seen Nov 1, 2026
- weininghui/skillstheir own version, first seen Oct 30, 2026
Used with
Projects with it also use book-chapter-generator, concept-classifier and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
vishalsachdevSkillbook-chapter-generator
This skill generates a structured chapter outline for intelligent textbooks by analyzing course descriptions, learning graphs, and concept dependencies. Use this skill after the learning graph has been created and before generating chapter content, to design an optimal chapter structure that respects concept dependencies and distributes content evenly across 6-20 chapters.
Also in 3 projects that use this
vishalsachdevSkillconcept-classifier
Create an interactive classification quiz MicroSim using p5.js where students read scenarios and classify them into the correct category from multiple choice options. Uses a data.json file for easy question editing. Ideal for teaching students to recognize patterns, identify types, or categorize examples across any subject domain.
Also in 3 projects that use this
JayRHaSkillchangelog-keeper
Maintains a CHANGELOG.md in the Keep a Changelog format with Semantic Versioning, grouping user-facing entries under Added/Changed/Deprecated/Removed/Fixed/Security and cutting dated releases from an Unreleased section. Use this skill when the user asks to "update the changelog", "add a changelog entry", "cut a release", "bump the version", "what changed since the last release", or to create/clean up a CHANGELOG.md or release notes.
Also in 3 projects that use this
ATOM00blueSkillerror-message-explainer
Explains errors, stack traces, exceptions, and cryptic build/runtime messages in plain language, identifies the root cause, and gives a concrete fix. Use when the user pastes an error, stack trace, traceback, panic, compiler error, or failing log and asks what it means, why it happens, or how to fix it.
Also in 3 projects that use this
peopleforresterSkillrefactoring-guide
Safe refactoring patterns and techniques. Use when the user wants to improve code structure, reduce duplication, or make code more maintainable without changing behavior. Emphasizes incremental changes with test coverage.
Also in 3 projects that use this
- +7 more from vishalsachdev
Other versions37 projects use a version of this.
Word for word · 1
- serejaris/personal-corp-os★ 243100% same
Edited · 0
None found.
Wrote their own version · 36
- dmccreary/claude-skills★ 110same name
- dmccreary/ibook-skills★ 110same name
- anchildress1/awesome-ai★ 67same name
- anchildress1/awesome-github-copilot★ 67same name
- MCDxAI/minecraft-dev-mcp★ 47same name
- geekjourneyx/readme-generator★ 44same name
- glincker/claude-code-marketplace★ 37same name
- johnqtcg/awesome-skills★ 30same name
- jshsakura/awesome-opencode-skills★ 30same name
- wedsamuel1230/arduino-skills★ 28same name
26 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 7 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 30 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Model recommendation: Use Task tool with model: haiku for README generation — faster and cheaper for documentation tasks.
- Distinctive: line 53
Read these files to understand the project:
- Distinctive: line 57
Test files (understand features)
- Distinctive: line 116
Start with value, not implementation
- Distinctive: line 120
Write for humans scanning quickly
- Distinctive: line 124
Write walls of text
- Distinctive: line 125
Use jargon without explanation
- Distinctive: line 130
If project has Claude Code skills, add:
“Common” is measured: kept by at least 6 in 10 of the 30 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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.
When to Use
- Creating README for new project
- Rewriting outdated README
- User asks "write/create/update README"
Process
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";
}Step 1: Research
Always search first for current README best practices:
mcp__exa__web_search_exa: "best practices README.md {year} {project_type}"Look for:
- Current trends in README structure
- Examples from similar projects
- What sections are essential vs optional
Step 2: Analyze Project
Read these files to understand the project:
CLAUDE.mdor existing docspackage.json/pyproject.toml/Cargo.toml- Main entry points
- Test files (understand features)
Step 3: Identify Project Type
| 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 |
Step 4: README Structure
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
## LicenseOptional 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 |
Writing Style
DO:
- Start with value, not implementation
- Use active voice
- Keep sentences short
- Include runnable examples
- Write for humans scanning quickly
DON'T:
- Include API reference for internal use
- Write walls of text
- Use jargon without explanation
- Include every possible option
Related Skills Section
If project has Claude Code skills, add:
## Related Skills
| Skill | Trigger | What it does |
|-------|---------|--------------|
| `skill-name` | "trigger phrase" | Brief description |Quick Reference
| 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 |
Common Mistakes
| 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 |
Example Structure (Full-stack App)
# 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
## LicenseDoes it work?
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- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

