How does slim-readme analyze my project?

It scans configuration files like package.json, requirements.txt, and your directory structure to identify languages, frameworks, and entry points.

Does it support social and status badges?

Yes, it provides markdown templates for build status, license, versioning, and other common repository badges.

Which programming languages are supported?

The skill is language-agnostic but features specialized detection logic for JavaScript, Python, Rust, and other major ecosystems.

Can I use this on projects that already have a README?

Yes, the skill can analyze your current README and offer to enhance it, replace it, or merge new sections while suggesting a backup of your old file.

README Writer

Name: README Writer
Author: NASA-AMMOS

byNASA-AMMOS

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Learning & Documentation

Generates comprehensive, professional README.md files by analyzing project codebases and applying documentation best practices.

About

The slim-readme skill simplifies project documentation by providing a structured workflow and AI-enhanced templates to create high-quality README.md files. It automatically analyzes your repository's technology stack, directory structure, and metadata to generate tailored content including installation guides, usage examples, and contribution workflows. Whether you are launching an open-source project or onboarding team members, this skill ensures your documentation is clear, discoverable, and aligned with Software Lifecycle Improvement & Modernization (SLIM) standards.

Key Features

Validation checklist to ensure documentation completeness and quality
Comprehensive templates featuring badges, features, and license sections
Automated codebase analysis to detect tech stacks and dependencies
AI-powered generation of installation and usage guides
Support for merging new content into or enhancing existing README files
31 GitHub stars

Use Cases

Standardizing documentation structure across multiple team repositories
Improving existing project READMEs with clear usage examples and badges
Bootstrapping professional documentation for a new open-source project

About

Key Features

Validation checklist to ensure documentation completeness and quality
Comprehensive templates featuring badges, features, and license sections
Automated codebase analysis to detect tech stacks and dependencies
AI-powered generation of installation and usage guides
Support for merging new content into or enhancing existing README files
31 GitHub stars

Use Cases

Standardizing documentation structure across multiple team repositories
Improving existing project READMEs with clear usage examples and badges
Bootstrapping professional documentation for a new open-source project