generate-standard-readme

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Governance-focused README with fixed structure and output contract. Use for asset governance, audit, or standardized first-impression docs. For process-driven creation (templates by project type) use crafting-effective-readmes.

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NPX Install

npx skill4agent add nesnilnehc/ai-cortex generate-standard-readme

Skill: Generate Standard README

Purpose

Create professional, consistent, highly readable front-page documentation for any software project (open source, internal services, microservices, tooling). A standardized information layout reduces collaboration cost, improves engineering norms, and keeps core assets discoverable.

Use Cases

  • New project: Quickly add a standard README for a new repo.
  • Asset governance: Unify README style across internal services or libraries for better indexing and cross-team discovery.
  • Audit and compliance: Bring legacy systems up to documentation standards for internal audit or architecture review.
  • Handover and release: When transferring a project, changing ownership, or releasing publicly, ensure the audience can understand purpose, usage, and how to contribute.
When to use: When the project needs a “first face” that explains what it is, how to use it, and how to collaborate.

Scope: This skill emphasizes a fixed output structure and governance (unified style, audit, discoverability); the output contract is embedded in the skill. For template-by-project-type or guided Q&A creation, use skills.sh’s
crafting-effective-readmes
(e.g. softaworks/agent-toolkit).

Behavior

Principles

  • Clarity: Readers immediately understand what the project is and what problem it solves.
  • Completeness: Include everything users and contributors need.
  • Actionable: Provide copy-paste install and quick-start commands.
  • Professional: Use standard Markdown and a conventional section order.

Tone and style

  • Use neutral, objective language; avoid hype (“The best,” “Revolutionary”) unless backed by data.
  • Direct and concise: Short sentences; avoid filler adjectives and bureaucratic phrasing; professionalism through clarity and scannability, not formality.
  • Keep code examples short and comments clear.

Visual elements

  • Badges: Include License, Version, Build Status, etc. at the top.
  • Structure: Use
    ---
    or clear heading levels to separate sections.
  • Emoji: Use sparingly (e.g. 📦, 🚀, 📖) to improve scannability.

Input & Output

Input

  • Project metadata: Name, one-line description.
  • Features: Core capabilities.
  • Requirements: e.g. Node.js/Python version.
  • Install/run: Concrete shell commands.

Output

  • README source: Markdown with this structure:
    1. Title and badges
    2. Core description
    3. ✨ Features
    4. 📦 Installation
    5. 🚀 Quick start
    6. 📖 Usage / configuration
    7. 🤝 Contributing
    8. 📄 License
    9. 👤 Authors and acknowledgments

Restrictions

  • No broken links: Do not add links that 404.
  • No redundant repetition: Do not repeat the same fact (e.g. license) in multiple sections.
  • No hardcoded paths: Use placeholders or variables in install and quick-start examples.
  • License required: Always include a License section; do not omit it.

Self-Check

  • Three-second test: Can a reader understand what the project does in a few seconds?
  • Closed loop: Can someone run “Quick start” after following “Installation”?
  • Tone: Is the text direct and concise, without bureaucratic or report-like phrasing?
  • Badges: Do badge links point to the correct branch or file?
  • Narrow screens: Are tables and long code blocks readable on small screens?

Examples

Before vs after

Before (minimal):

MyProject

This program processes images. Install: pip install . Run: python run.py
After (standard):

MyProject

License: MIT
A high-performance image batch-processing tool that speeds up compression with concurrency.

✨ Features

  • Concurrent compression: Multi-threaded; faster than baseline.
  • Formats: WebP, PNG, JPEG conversion.

📦 Installation

bash
pip install my-project

🚀 Quick start

python
from myproject import Compressor
Compressor('images/').run()
Edge case: Legacy project with little info
  • Input: Name: legacy-auth. No description. No feature list. Environment and install unknown.
  • Expected: Still produce a structurally complete README; use placeholders (e.g. “See source for features”, “Install steps TBD”) and mark “to be completed”; do not invent features or commands; keep badges, section order, and License so the user can fill in later.

Appendix: Output contract

When this skill produces a README, it follows this contract:
Section orderRequired
1Title and badges
2Core description
3✨ Features
4📦 Installation
5🚀 Quick start
6📖 Usage / configuration
7🤝 Contributing
8📄 License
9👤 Authors and acknowledgments
Restrictions: no broken links; no redundant repetition; no hardcoded paths; License section required.

References