Skill Creator Guide
This skill teaches you how to create, test, package, and distribute AI agent skills following the standard Agent Skills format.
How to use this skill
- If the user asks about basic concepts or structure → read
references/structure.md - If the user asks about frontmatter or description → read
references/frontmatter.md - If the user asks about writing style or patterns → read
references/writing.md - If the user asks about testing, evals, or iteration → read
references/testing.md - If the user asks about packaging or distribution → read
references/distribution.md - If the user asks about repo architecture or marketplace → read
references/repo-architecture.md - If the user asks to scaffold a new skill → run
python scripts/scaffold.py <skill-name> --category <category/subcategory>
Quick reference checklist
- Choose a kebab-case name matching the directory (max 64 chars, lowercase + hyphens only)
- Write frontmatter with
nameanddescription(include trigger contexts, desc ≤ 1024) - Optionally add
compatibility(≤ 500 chars),license,metadata,allowed-tools - Keep SKILL.md under 100 lines — use
references/for detailed content - Write in imperative tone, explain the why, include examples
- Add at least one Python script to
scripts/(no external deps) - Create
evals/evals.jsonwith test prompts - Run validation:
python3 tools/validate-all.pyfrom repo root
References
references/structure.md— Directory layout, progressive disclosure, size limitsreferences/frontmatter.md— Name rules, description rules, optimizationreferences/writing.md— Tone, examples, explaining reasoning, keeping leanreferences/testing.md— Evals, assertions, grading, benchmarking, iterationreferences/distribution.md— Marketplace.json, packaging, installreferences/repo-architecture.md— Multi-category repo structure, validate-all.py, hierarchyscripts/scaffold.py— Creates a new skill skeleton with --category support