Orchestrates a comprehensive six-step cycle to systematically review, analyze, update, and validate Claude Code skills for peak performance.
概要
The improvement-workflow skill provides a structured framework for the continuous enhancement of AI capabilities by integrating five specialized component skills. It guides users through a sequential pipeline—from multi-dimensional reviews and pattern analysis to systematic updates and regression testing—ensuring that every modification is data-driven and validated. This skill is essential for developers looking to evolve basic prompts into production-grade tools while capturing and propagating systemic learnings across their entire software ecosystem.
主な機能
Automated best-practice extraction and documentation
Comprehensive multi-dimensional assessment and scoring
Root cause and systemic pattern recognition across findings
Before-and-after performance comparison and impact measurement
0 GitHub stars
Structured skill-updating process with regression checks
ユースケース
Transitioning experimental v1.0 skills to stable, production-ready versions
Implementing systematic fixes for recurring anti-patterns across multiple skills
Capturing project-specific insights to update global coding guidelines and templates