Individual skill
skill-development
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
skills-imported/skill-development/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
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Repository context
- Repository stars (not skill ratings)
- 56
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai Repository topic
- testing Derived category
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Browse files
SKILL.mdcore · 33,172 bytesSKILL.mdcore · 33,172 bytesSKILL.mdcore · 33,172 bytesSKILL.mdcore · 33,172 bytesSKILL.mdcore · 33,172 bytesSKILL.mdcore · 33,172 bytesassets/eval_review.htmlasset · 7,058 bytesreferences/schemas.mddoc · 12,054 bytesreferences/skill-creator-original.mddoc · 11,547 bytesscripts/__init__.pyruns · 0 bytesscripts/aggregate_benchmark.pyruns · 14,386 bytesscripts/generate_report.pyruns · 12,847 bytesscripts/improve_description.pyruns · 11,116 bytesscripts/package_skill.pyruns · 4,234 bytesscripts/quick_validate.pyruns · 3,972 bytesscripts/run_eval.pyruns · 11,464 bytesscripts/run_loop.pyruns · 13,605 bytesscripts/utils.pyruns · 1,661 bytes
Read excerpt
# Skill Creator
A skill for creating new skills and iteratively improving them.
At a high level, the process of creating a skill goes like this:
- Decide what you want the skill to do and roughly how it should do it
- Write a draft of the skill
- Create a few test prompts and run claude-with-access-to-the-skill on them
- Help the user evaluate the results both qualitatively and quantitatively
- While the runs happen in the background, draft some quantitative evals if there aren't any (if there are some, you can either use as is or modify if you feel something needs to change about them). Then explain them to the user (or if they already existed, explain the ones that already exist)
- Use the `eval-viewer/generate_review.py` script to show the user the results for them to look at, and also let them look at the quantitative metrics
- Rewrite the skill based on feedback from the user's evaluation of the results (and also if there are any glaring flaws that become apparent from the quantitative benchmarks)
- Repeat until you're satisfied