What is a Claude Code Skill?

A Claude Code Skill is a specialized capability that provides domain-specific guidance, best practices, and implementation patterns to help Claude perform specific tasks more accurately.

How can I debug a skill that isn't triggering?

You can use the SKILL_DEBUG=true environment variable or run specific validation commands like yarn lint:skill to inspect the matching logic and identify configuration errors.

How does skill auto-activation work?

Skills activate via the UserPromptSubmit hook, which checks the user's input against keywords and regex intent patterns defined in the skill-rules.json configuration file.

What is the 500-line rule for skills?

The 500-line rule is an Anthropic best practice suggesting that primary SKILL.md files stay under 500 lines to maintain high performance and context relevance, delegating deeper details to reference files.

Claude Skill Authoring & Management

Name: Claude Skill Authoring & Management
Author: Activer007

byActiver007

Learning & Documentation

Streamlines the creation, configuration, and optimization of custom Claude Code skills using Anthropic's official best practices.

About

This skill provides a comprehensive framework for developers to extend Claude Code's capabilities through custom domain-specific skills. It guides users through the entire lifecycle of skill development—from initial SKILL.md creation and YAML frontmatter configuration to advanced trigger implementation using regex and keyword patterns. By enforcing key standards like the 500-line rule and progressive disclosure, it ensures that your custom AI instructions remain performant, relevant, and easy for Claude to consume without overwhelming the context window.

Key Features

Automated templates for SKILL.md and YAML frontmatter
Framework for progressive disclosure using reference documentation
Built-in validation and debugging workflows using SKILL_DEBUG
Enforcement of the 500-line rule for optimal AI performance
Regex-based intent pattern and keyword trigger configuration
0 GitHub stars

Use Cases

Creating auto-activating guides for language-specific error handling
Standardizing documentation and architectural patterns for engineering teams
Debugging and refining skill-rules.json to prevent false-positive triggers

About

Key Features

Automated templates for SKILL.md and YAML frontmatter
Framework for progressive disclosure using reference documentation
Built-in validation and debugging workflows using SKILL_DEBUG
Enforcement of the 500-line rule for optimal AI performance
Regex-based intent pattern and keyword trigger configuration
0 GitHub stars

Use Cases

Creating auto-activating guides for language-specific error handling
Standardizing documentation and architectural patterns for engineering teams
Debugging and refining skill-rules.json to prevent false-positive triggers