Individual skill

skill-creator

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.

cli-tool/components/skills/productivity/skill-creator/SKILL.md

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Last checked: Nov 4, 2026

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Repository stars (not skill ratings): 33,188
Repository last updated: Nov 7, 2026
License: MIT

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anthropic Repository topic
anthropic-claude Repository topic
claude Repository topic
claude-code Repository topic
agent-skills Repository topic
ai-agents Repository topic
claude-code-plugins Repository topic
cli Repository topic
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LICENSE.txtdoc · 11,345 bytes
SKILL.mdcore · 33,168 bytes
SKILL.mdcore · 33,168 bytes
SKILL.mdcore · 33,168 bytes
SKILL.mdcore · 33,168 bytes
SKILL.mdcore · 33,168 bytes
SKILL.mdcore · 33,168 bytes
agents/analyzer.mddoc · 10,376 bytes
agents/comparator.mddoc · 7,287 bytes
agents/grader.mddoc · 9,049 bytes
assets/eval_review.htmlasset · 7,058 bytes
eval-viewer/generate_review.pyruns · 16,365 bytes
eval-viewer/viewer.htmlasset · 44,998 bytes
references/output-patterns.mddoc · 1,813 bytes
references/schemas.mddoc · 12,054 bytes
references/workflows.mddoc · 818 bytes
scripts/__init__.pyruns · 0 bytes
scripts/aggregate_benchmark.pyruns · 14,386 bytes
scripts/generate_report.pyruns · 12,847 bytes
scripts/improve_description.pyruns · 11,116 bytes
scripts/init_skill.pyruns · 10,863 bytes
scripts/package_skill.pyruns · 4,234 bytes
scripts/quick_validate.pyruns · 3,972 bytes
scripts/run_eval.pyruns · 11,464 bytes
scripts/run_loop.pyruns · 13,605 bytes
scripts/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