Individual skill
skill-creator
Create, revise, and evaluate reusable AI workflow skills, including trigger-quality tests. Use when authoring a new skill, repairing an existing skill, or measuring whether its metadata routes correctly.
skills/skill-creator/SKILL.md
Source commit 08dd9bdf9367f7321c27b7db8c08a125598a613f
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 151
- Repository last updated
- Nov 3, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-research Repository topic
- ai-tools Repository topic
- claude Repository topic
- claude-code Repository topic
- latex Repository topic
- phd Repository topic
- research-workflow Repository topic
- codex Repository topic
- operations Derived category
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Browse files
LICENSE.txtdoc · 11,357 bytesSKILL.mdcore · 17,616 bytesSKILL.mdcore · 17,616 bytesagents/analyzer.mddoc · 10,376 bytesagents/comparator.mddoc · 7,287 bytesagents/grader.mddoc · 9,049 bytesassets/eval_review.htmlasset · 7,058 byteseval-viewer/generate_review.pyruns · 16,379 byteseval-viewer/viewer.htmlasset · 44,998 bytesreferences/description-optimization.mddoc · 6,131 bytesreferences/eval-workflow.mddoc · 7,730 bytesreferences/platform-notes.mddoc · 3,852 bytesreferences/schemas.mddoc · 12,061 bytesscripts/__init__.pyruns · 0 bytesscripts/aggregate_benchmark.pyruns · 14,400 bytesscripts/generate_report.pyruns · 12,855 bytesscripts/improve_description.pyruns · 10,964 bytesscripts/package_skill.pyruns · 4,255 bytesscripts/quick_validate.pyruns · 4,214 bytesscripts/run_eval.pyruns · 11,464 bytesscripts/run_loop.pyruns · 13,685 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