SkillOpt
SkillOpt is a training tool that improves reusable instruction files for AI agents without changing model weights, for developers and researchers.
What it is good for
- Improving the instructions an AI agent follows over repeated tests
- Training agent skill files against held-out validation scores
- Producing a fixed skill file to reuse with an unchanged model
At a glance
- Who it is for
- Setup
- Requires programming
Level 5 of 5. You need to write code to use it.
- Cost
- Free and open source
- Type
- Framework or SDK
- Tasks
- Works with
- OpenAI, Azure, Claude, Qwen, MiniMax, Codex CLI
Momentum
- Rank this week
- Not ranked (last #34, week 42, 2026)
- Best rank
- #28 week 40, 2026
- GitHub stars
- 18,813
GitHub numbers as of Nov 2, 2026. Updated weekly.
Ranking history
Official links
Setup steps are on the official pages. We do not repeat them here, since they change.
Questions
- Is SkillOpt free?
- Yes. It is free and open source (MIT license).
- Do I need to know how to code to use SkillOpt?
- Yes. You need to write code to use it.
- What does SkillOpt work with?
- According to its own documentation, it works with OpenAI, Azure, Claude, Qwen, MiniMax, and Codex CLI.
- What is SkillOpt good for?
- Improving the instructions an AI agent follows over repeated tests, training agent skill files against held-out validation scores, and producing a fixed skill file to reuse with an unchanged model.
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