skill▌

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Create new agent skills with proper structure, progressive disclosure, and bundled resources.

Skill Seekers \n Overview \n -Automatically convert documentation websites, GitHub repositories, and PDFs into Claude AI skills in minutes. \n When to Use This Skill \n Use this skill when you need to work with -automatically convert documentation websites, github repositories, and pdfs into claude ai skills in minutes.. \n Instructions \n This skill provides guidance and patterns for -automatically convert documentation websites, github repositories, and pdfs into claude ai skills in minutes..

Category: task

IMPORTANT - Path Resolution: This skill can be installed in different locations (plugin system, manual installation, global, or project-specific). Before executing any commands, determine the skill directory based on where you loaded this SKILL.md file, and use that path in all commands below. Replace $SKILL_DIR with the actual discovered path.

Systematic 9-phase audit for claude-skills covering standards, docs verification, code accuracy, and version drift. \n \n Validates YAML structure, keywords, third-person style, and directory organization against skill standards \n Verifies API patterns, imports, and code examples against official documentation, GitHub repos, and npm packages \n Cross-checks consistency between SKILL.md and README.md, detects stale dependencies (>90 days), and identifies breaking changes \n Categorizes issues by

This is an example of a project-specific skill. Use this as a template for your own projects.

Manage multiple local CLI agents in parallel tmux sessions with task assignment and monitoring. \n \n Start, stop, and monitor agents running in isolated tmux sessions with log tailing and health checks \n Assign tasks to specific agents and track their execution output in real time \n Schedule recurring agent work via cron integration for automated workflows \n Requires tmux and Python 3; agents are configured in a local agents/ directory \n

wechat-miniprogram-skill

Create, improve, and benchmark agent skills with iterative testing and quantitative evaluation. \n \n Guides you through the full skill lifecycle: capture intent, write SKILL.md, run test cases with and without the skill, grade outputs against assertions, and iterate based on feedback \n Spawns parallel subagent runs (with-skill and baseline) to compare performance; captures timing and token usage for benchmarking \n Generates an interactive viewer showing qualitative outputs and quantitative me