microsoft/SkillOpt
View on GitHubSkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
- Stars
- 17.3k
- Forks
- 1.6k
- Open beginner issues
- 0
- Indexed issues
- 22
- Avg merge
- 2d 7h
- Merged PRs (30d)
- 17
- Dominant language
- Python
- License
- MIT
- Last GitHub push
- Sep 5, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- help wanted
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Difficulty 5/5 Over a week Newbie friendliness 28/100
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Difficulty 5/5 Over a week Newbie friendliness 25/100
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Difficulty 3/5 1-2 days Newbie friendliness 65/100
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Difficulty 4/5 3-5 days Newbie friendliness 68/100
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Difficulty 5/5 Over a week Newbie friendliness 20/100
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Difficulty 5/5 Over a week Newbie friendliness 30/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Difficulty 3/5 1-2 days Newbie friendliness 48/100
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Difficulty 3/5 1-2 days Newbie friendliness 45/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 30/100
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enhancement help wanted
Difficulty 4/5 3-5 days Newbie friendliness 48/100
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Difficulty 5/5 Over a week Newbie friendliness 35/100
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Difficulty 5/5 Over a week Newbie friendliness 38/100
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Difficulty 2/5 1-3 hours Newbie friendliness 45/100
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Difficulty 5/5 Over a week Newbie friendliness 28/100
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How is the baseline evaluation score aggregated across runs? (single-seed vs multi-seed / best-of-N) Open
Difficulty 3/5 1-2 days Newbie friendliness 45/100
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Difficulty 4/5 3-5 days Newbie friendliness 35/100
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Difficulty 2/5 1-3 hours Newbie friendliness 50/100
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Difficulty 4/5 3-5 days Newbie friendliness 52/100