Individual skill
skill-creator
Create, improve, and evaluate agent skills (SKILL.md plus reference files). Use this skill whenever the user wants to build, scaffold, or design a new skill, improve or fix an existing skill that isn't working well, score or benchmark a skill's quality or run evals on it, or turn a repeated manual workflow into a skill ("I keep doing X manually", "can you remember how to do X", "turn this into a skill").
plugins/skill-creator/skills/skill-creator/SKILL.md
Source commit a0850786e72aa23b92862f9f1635b0de506fe206
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 9, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,526
- Repository last updated
- Nov 4, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- skills Repository topic
- trading Repository topic
- agent-skills Repository topic
- design Derived category
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Browse files
README.mddoc · 3,038 bytesSKILL.mdcore · 15,442 bytesreferences/architecture-patterns.mddoc · 8,600 bytesreferences/dynamic-calling.mddoc · 12,359 bytesreferences/frontmatter-guide.mddoc · 5,542 bytesreferences/quality-rubric.mddoc · 9,708 bytesreferences/skill-examples.mddoc · 13,127 bytesreferences/writing-guide.mddoc · 9,884 bytes
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# Skill Creator
Create, evaluate, and iterate on high-quality agent skills. This skill covers the whole lifecycle: planning what the skill should do, writing SKILL.md and reference files, scoring quality against a rubric, and iterating until the skill meets production standards.
**Philosophy:** A great skill is precise, not long. Its description routes the right requests to it. Its body gives the model the context it can't get anywhere else — the environment, tool contracts, defaults, domain judgment, and the reasons behind each constraint — and leaves out what a capable model already does on its own. Current Claude models follow instructions closely and literally, so every line gets acted on: an over-scripted or shouting skill produces rigid, over-cautious output, while a clear goal and quality bar let the model plan the work itself. `references/writing-guide.md` covers this in detail.
**Runtime adaptation:** Skills that touch external tools should detect what is installed, authenticated, and reachable at runtime and adapt, rather than assuming a single method. Offer fallback paths where real alternatives exist. See `references/dynamic-calling.md` for the pattern catalog.
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## Step 1: Understand What the User Wants
Classify the request into one of these modes: