
from antigravity-awesome-skills33,656
Analyze and diagnose Agent Skills (SKILL.md) using session data and static checks to improve triggers, workflows, and token efficiency.
Skill Optimizer analyzes SKILL.md files together with historical session data (when available) to diagnose why a skill does or does not trigger, how reliably its workflow completes, and where static documentation can be improved. It combines eight dimensions of analysis — trigger rates, user reactions, workflow completion, static quality checks, under/over-trigger detection, cross-skill conflicts, environment consistency, and token economics — into a prioritized, evidence-based report.
Use Skill Optimizer when skills are not triggering as expected, when you observe surprising or negative user reactions after a skill runs, or when you want a data-driven audit of a skill library to reduce wasted context tokens. It's intended for maintainers of agent skill collections who can run transcript scans and act on suggested description rewrites.
Designed for multi-platform agent runtimes that store transcripts or support tool-invocation metadata (Claude Code, Codex, Cursor, Gemini CLI, etc.).
This skill has not been reviewed by our automated audit pipeline yet.
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