SkillTune: Optimizing AI Agent Skills via Automated Eval Loops
Scobleizer · x · 2026-08-05
SkillTune is a tool designed to enhance the quality of AI agent skills (e.g., SKILL.md files). It addresses the common pitfall where developers ship skill files without testing them, potentially degrading model performance.
The tool provides an automated evaluation and self-improvement loop:
- Measure: Automatically creates eval cases for each skill version, runs them on the target model, and assigns a score.
- The Loop: Continuously tests and refines failed cases, generating new versions (v1, v2, etc.) until the skill achieves a score above 90 and is ready to ship.
Tuned skills reportedly improve model performance by 15-20% on average. The tool is compatible with all models and harnesses, running entirely locally without requiring credits.
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