SkillOpt
SkillOpt is a text space optimizer that trains reusable natural language skills for frozen LLM agents through trajectory-driven editing, validation-gated updates, and deployable optimal skill documentation.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 9.0k
- Source
- skill-github
- Repository
- github.com/microsoft/SkillOpt
Overview
SkillOpt is a text space optimizer that trains reusable natural language skills for frozen LLM agents via trajectory-driven editing, validation-gated updates, and deployable optimal skill documentation. It treats skill documents as trainable states of frozen agents and applies the discipline of deep learning optimizers during training. SkillOpt enhances agent skill performance without modifying model weights. This tool is suitable for developers and researchers aiming to improve and optimize natural language processing tasks.
Capabilities
- ▪Trajectory-driven editing
- ▪Validation-gated updates
- ▪Deployable optimal skill documentation
- ▪Multi-backend support (OpenAI / Azure / Claude / Qwen / MiniMax)
- ▪Six built-in benchmarks
Use cases
Setup
pip install skillopt
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What backends does SkillOpt support?
Supports OpenAI, Azure, Claude, Qwen, MiniMax, and others.
How do I add a new backend?
Refer to the guide for adding new backends in the documentation.
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