skill-selector

Features and purpose

Self-driven skill selection system that uses internal curiosity asking (self-questioning) to analyze user requests, infer context from available information, and automatically recommend the most appropriate skills. Use when (1) User requests are ambiguous or unclear, (2) Multiple skills could potentially match a request, (3) User needs help discovering available skills, (4) Understanding user context is needed before recommending skills, or (5) User asks "what skills are available" or "which skill should I use".

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.