SkillOpt
ActiveDescription
SkillOpt is Microsoft's open-source agent skill optimization tool that selects, composes and tunes LLM tool-calling skills to improve task performance.
Key Features
- Skill selection — auto-picks the best skill mix from a candidate pool
- Composition — learns the optimal workflow across many skills
- Evaluation-driven — built-in evaluator with baseline comparison
- Explainable — surfaces the reasoning behind each pick and composition
- Multi-model — works with GPT, Claude and local LLMs
- Extensible — plug in custom skills and evaluators
Use Cases
💡 Evaluating and optimizing an existing agent's tool-calling strategy
💡 Searching for the best orchestration across many agent skills
💡 Turning agent tuning into a data-driven engineering practice
💡 Comparing different skill sets against standardized benchmarks
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (16.6k stars)
- • Permissive open-source license (MIT)
- • Responsive to issues, low backlog
Tags
Categories
Quick Start
pip install skillopt
from skillopt import SkillOptimizer
opt = SkillOptimizer(model="gpt-4o")
opt.run(task="code-review", skills=my_skills)