Can I customize the README structure?

Yes, the skill generates a detailed plan in Phase 2 and requires your explicit approval before proceeding to write the final README file.

Does it support non-English project documentation?

While optimized for English technical standards, the analysis engine can identify patterns in any codebase to generate documentation in your preferred language.

How does this skill ensure the documentation is accurate?

It uses an Evidence Chain Validation protocol, requiring the AI to locate and cite actual code patterns before claiming a relationship or feature exists in the documentation.

What happens if my project has a complex installation process?

The skill performs a Systematic File Analysis to map dependencies and configuration needs, ensuring that troubleshooting and setup sections are based on the actual environment requirements found in your files.

Readme Improvement Expert

Name: Readme Improvement Expert
Author: CongDon1207

byCongDon1207

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Learning & Documentation

Transforms your codebase into professional, accurate, and user-centric documentation through rigorous code analysis and anti-hallucination protocols.

About

The Readme Improvement skill empowers Claude to act as a senior technical writer by systematically analyzing your project's architecture, dependencies, and features. It moves beyond generic summaries by implementing a multi-phase discovery process that builds a structured knowledge model of your code, ensuring every instruction in your README.md—from installation steps to API usage—is verified against actual code evidence. This skill is ideal for developers who need to create high-quality documentation that is both comprehensive for new users and technically accurate for contributors.

Key Features

Automated mapping of project structure, technologies, and dependencies
Structured multi-phase workflow with mandatory plan approval gates
Anti-hallucination protocols that verify assumptions before documentation generation
Comprehensive templates covering installation, configuration, and troubleshooting
Evidence-based documentation grounded in project code analysis
1 GitHub stars

Use Cases

Standardizing documentation quality across multiple internal team repositories
Updating outdated setup instructions and API documentation for legacy repos
Generating a high-quality README for a new open-source project

About

Key Features

Automated mapping of project structure, technologies, and dependencies
Structured multi-phase workflow with mandatory plan approval gates
Anti-hallucination protocols that verify assumptions before documentation generation
Comprehensive templates covering installation, configuration, and troubleshooting
Evidence-based documentation grounded in project code analysis
1 GitHub stars

Use Cases

Standardizing documentation quality across multiple internal team repositories
Updating outdated setup instructions and API documentation for legacy repos
Generating a high-quality README for a new open-source project