소개
Meta-Learning is a specialized skill designed to enhance the Claude Code environment by systematically capturing technical insights from development sessions. It evaluates session activity against strict quality thresholds to identify high-value patterns—such as debugging strategies, architectural decisions, and framework-specific pitfalls—and transforms them into structured, reusable skills. By automating the documentation of lessons learned, it ensures that complex problem-solving efforts become permanent assets that improve Claude's effectiveness in future tasks.
