home / skills / gohypergiant / agent-skills / accelint-readme-writer
This skill analyzes codebases to generate or update thorough README.md files with examples, API coverage, and install instructions.
npx playbooks add skill gohypergiant/agent-skills --skill accelint-readme-writerReview the files below or copy the command above to add this skill to your agents.
---
name: accelint-readme-writer
description: Use when creating or editing a README.md file in any project or package. Recursively parses codebase from README location, suggests changes based on missing or changed functionality, and generates thorough, human-sounding documentation with copy-pasteable code blocks and practical examples.
license: Apache-2.0
metadata:
author: accelint
version: "1.0"
---
# README Writer
This skill guides the creation and maintenance of comprehensive, human-friendly README documentation by analyzing the codebase and ensuring documentation stays in sync with actual functionality.
## When to Activate This Skill
Use this skill when:
- Creating a new README.md for a project or package
- Updating an existing README.md after code changes
- Auditing documentation for completeness and accuracy
- Converting sparse documentation into thorough guides
- User asks to "document this package" or "write a README"
- User mentions README in context of a monorepo subdirectory
## When NOT to Use This Skill
Do not activate for:
- API documentation generation (use JSDoc/TSDoc tools)
- Changelog or release notes
- Internal developer notes not meant for README
- Documentation in formats other than Markdown
## How to Use
### Step 1: Locate the README Context
Identify where the README should live. In monorepos, this determines the scope of codebase analysis:
```
project-root/ # README here documents entire monorepo
├── packages/
│ └── my-lib/ # README here documents only my-lib
│ └── README.md
└── README.md
```
### Step 2: Analyze the Codebase
Recursively parse code starting from the README's directory:
1. **Identify entry points**: Look for `index.ts`, `main.ts`, package.json `main`/`exports`
2. **Map public API**: Find all exported functions, classes, types, constants
3. **Trace dependencies**: Understand what the package depends on
4. **Find examples**: Look for `examples/`, test files, or inline usage comments
5. **Check package.json**: Extract scripts, dependencies, peer dependencies
### Step 3: Compare Against Existing README
If a README exists, identify gaps:
- **Missing exports**: Public API not documented
- **Stale examples**: Code samples using deprecated patterns
- **Missing sections**: No installation, no quick start, no API reference
- **Outdated commands**: Wrong package manager, missing scripts
### Step 4: Generate or Update README
Follow the [README Structure](references/readme-structure.md) and apply [Writing Principles](references/writing-principles.md).
Use the [README Template](references/readme-template.md) as a starting point for new READMEs.
## README Workflow Decision Tree
```
Start
↓
Does README.md exist?
├─ No → Analyze codebase → Generate from template
└─ Yes → Analyze codebase → Compare with existing
↓
Identify gaps and staleness
↓
Suggest specific changes
↓
Apply updates (with user confirmation)
```
## Key References
Load these as needed for detailed guidance:
- [references/readme-structure.md](references/readme-structure.md) - Section ordering and content requirements
- [references/writing-principles.md](references/writing-principles.md) - How to write human-sounding, thorough docs
- [references/codebase-analysis.md](references/codebase-analysis.md) - How to parse and understand code for documentation
- [references/readme-template.md](references/readme-template.md) - Copy-pasteable template for new READMEs
## Example Trigger Phrases
- "Create a README for this package"
- "Update the README to reflect recent changes"
- "The README is out of date, can you fix it?"
- "Document this library"
- "Write docs for packages/my-lib"
- "This package needs better documentation"
## Required Skills
This skill requires the `humanizer` skill for reviewing generated content.
If `humanizer` is not available:
1. Check Settings > Capabilities to enable it
2. Or invoke it with `/skill humanizer`
The humanizer skill removes AI writing patterns and ensures documentation sounds natural. Without it, generated READMEs may contain robotic language, inflated significance claims, and other AI artifacts.
## Important Notes
### Package Manager Detection
Always use the correct package manager based on lockfiles:
| Lockfile | Package Manager | Install Command |
|----------|-----------------|-----------------|
| `pnpm-lock.yaml` | pnpm | `pnpm install` |
| `package-lock.json` | npm | `npm install` |
| `yarn.lock` | yarn | `yarn` |
| `bun.lockb` | bun | `bun install` |
### Table of Contents
Include a TOC for READMEs over ~200 lines. Place it after the heading area, before the Installation section.
### Human-Sounding Writing
**REQUIRED SUB-SKILL:** Use `humanizer` to review and refine generated README content.
Documentation should sound like it was written by someone who genuinely wants to help. The humanizer skill identifies and removes AI writing patterns including:
- Inflated significance language ("pivotal", "testament", "crucial")
- Promotional/advertisement-like tone
- Superficial -ing analyses
- Vague attributions and weasel words
- Em dash overuse and rule-of-three patterns
After generating README content, apply the humanizer skill to ensure the output sounds natural and human-written. See [references/writing-principles.md](references/writing-principles.md) for additional guidance specific to technical documentation.
This skill analyzes a project's files from a chosen directory and generates or updates a README.md that matches the codebase. It finds public APIs, examples, scripts, and dependencies, then produces clear, copy-pasteable documentation and practical examples. It also flags missing or stale sections and suggests concrete edits.
The skill recursively parses the code starting at the README location to identify entry points, exported symbols, example files, and package metadata. It compares discovered functionality against the existing documentation to find gaps, outdated examples, and wrong commands. Finally it generates a structured Markdown document or a patch with specific changes, including installation commands detected from lockfiles and runnable code blocks.
How does it choose the package manager for install instructions?
It inspects lockfiles in the directory (pnpm-lock.yaml, package-lock.json, yarn.lock, bun.lockb) and inserts the matching install command.
Will it overwrite existing docs automatically?
No. It produces suggested changes or a patch and recommends user confirmation before applying updates.
Can it generate code examples from tests?
Yes. It searches examples/, test files, and inline usage comments and extracts runnable snippets when available.