Skill-Doctor: Diagnoses ineffective skills using local conversation history
aigclink · x · 2026-08-29
Skill-Doctor is a "meta-skill" that grades agent skills by analyzing real conversation history on your local machine across efficiency and code quality rubrics.
Core Logic:
- Only sessions with poor scores trigger diagnostic fixes; generic best practices are banned.
- Example: If a skill never triggered in a failed session, the issue is diagnosed as a "trigger description" problem.
Workflow:
- Verify the harness.
- Select scope (repo/all/specific projects).
- Collect data (defaults to last 45 days, max 12 sessions).
- Scoring (Efficiency, Code Quality, Coverage).
- Aggregate results and draft concrete skill edit suggestions.
Scoring Formula:
Overall = 0.5×Efficiency + 0.35×Code Quality + 0.15×Skill Coverage
Related event: Skill-Doctor Diagnoses Ineffective Agent Skills from Local Chat History(2 posts)→
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