validate-and-fix

Validate and automatically correct AI skill definitions and file structures.

Updated Jan 24, 2026

Search Tags:#code quality #automation #debugging #validation #skill maintenance

Ready to run

npx skills add https://github.com/briansunter/kungfu --skill validate-and-fix

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: validate-and-fix
Source: https://github.com/briansunter/kungfu/tree/main/.claude/skills/validate-and-fix
Command: npx skills add https://github.com/briansunter/kungfu --skill validate-and-fix

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of maintaining a collection of AI skills by automatically identifying and correcting common errors in their structure and content.

Core Features & Use Cases

Automated Validation: Runs a comprehensive check against skill definitions and file structures.
Error Correction: Automatically fixes issues like description formatting, naming inconsistencies, and missing fields.
Use Case: After adding a new skill or making changes to existing ones, run this skill to ensure everything adheres to the required format and catch potential bugs before deployment.

Quick Start

Run the validate-and-fix skill to check and correct all skills in the repository.

Frequently Asked Questions about validate-and-fix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I validate AI skill definitions and fix file structure errors automatically?▼

To validate AI skill definitions automatically, run a comprehensive check against skill files to identify and correct structural issues like mismatched names, unreferenced files, and missing required fields.

What does automated skill maintenance fix in code definitions?▼

Automated skill maintenance corrects common formatting and definition errors, specifically fixing multi-line descriptions, incorrect source formatting, naming inconsistencies, and missing required fields to ensure standard compliance.

When should I run validation checks on my skill repository?▼

You should run validation checks after adding a new skill or making changes to existing ones, ensuring everything adheres to the required format and catching potential bugs before deployment.

Can I use this to correct unreferenced files and missing fields in skill structures?▼

Yes, you can use automated validation to detect unreferenced files and missing required fields, which the tool then automatically corrects to maintain proper skill file structure and adherence to standards.

What is the best way to ensure code quality and debugging for skill definitions?▼

The best way to ensure code quality is to run an automated validation script that checks definitions against skill standards, automatically debugging and fixing structural inconsistencies across the repository.