Analyzes Claude Code logs to identify repetitive manual instructions that can be automated into reusable skills.
The Skill Gap Analyzer is a meta-utility designed to optimize your AI development workflow by scanning local Claude Code conversation logs for recurring patterns and inefficiency. By extracting user messages from a specified date range and applying a structured waste analysis framework, it pinpoints exactly where you are repeating yourself. The skill generates a prioritized list of potential new skills to build, allowing you to systematically eliminate manual overhead and build a more powerful, customized AI toolkit.
主要功能
01Automated extraction of local Claude Code JSONL conversation logs
021 GitHub stars
03Prioritized reporting based on frequency and workflow impact
04Date-range filtering for targeted workflow analysis
05Waste analysis framework to quantify effort spent on manual tasks
06Pattern recognition for repeated instructions across different sessions
使用场景
01Identifying frequent manual setups that should be automated with custom skills
02Auditing AI interaction patterns to improve developer efficiency
03Reducing conversation waste by spotting boilerplate prompt repetitions
