Does it validate if CLI examples actually work?

Yes, part of the validation phase involves running the documented examples to ensure the commands execute as described before finalizing the documentation.

Can it automatically fix my documentation?

The skill identifies discrepancies and provides the exact content or category suggestions needed, allowing you to review and apply the updates to your help files.

How does it detect missing environment variables?

The skill uses specialized audit scripts to scan the internal/ codebase for specific variable patterns and flags those that aren't currently listed in the documentation.

Which programming languages does this skill support?

This specific implementation is configured for Go projects (looking for main.go and help.go), but the logic and scripts can be easily adapted for other CLI frameworks.

Why is CLI help important for AI discoverability?

AI agents often use the --help command as their primary method to discover tool capabilities in environments where external documentation or CLAUDE.md files are not available.

CLI Documentation Maintainer

Name: CLI Documentation Maintainer
Author: sunholo-data

bysunholo-data

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학습 및 문서화

Maintains and audits CLI help systems to ensure documentation remains the authoritative source of truth for all commands and environment variables.

The CLI Documentation Maintainer is a specialized Claude Code skill designed to synchronize terminal help systems with codebase implementations. It provides automated scripts to audit Go source files against help documentation, identifying undocumented commands or stale environment variables. By ensuring the CLI help is accurate and complete, it improves discoverability for both human users and AI agents working in external repositories, establishing the terminal help as the ultimate source of truth for your application.

주요 기능

01Automated command auditing against source code implementation

02Environment variable discovery and verification for hidden flags

03Help text quality analysis and organizational improvement suggestions

04Validation workflows to test CLI help output and usage examples

05Standardized template-based documentation generation

0620 GitHub stars

사용 사례

01Optimizing CLI help text to improve discoverability for AI agents and LLMs

02Auditing environment variables (DEBUG_*, etc.) to ensure they are documented for users

03Synchronizing help documentation immediately after adding new CLI subcommands

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sunholo-data/ailang cli-doc-maintainer

For use in Claude.ai and ChatGPT

Download Skill