Skill Creator

A skill for creating new skills and iteratively improving them. The agent's context budget is the primary constraint, so this SKILL.md links out to focused reference files.

The core loop:

1. Decide what the skill should do and how it should do it
2. Write a draft
3. Run test prompts against claude-with-access-to-the-skill
4. Evaluate results with the user (qualitative review via eval-viewer/generate_review.py, plus quantitative evals)
5. Revise the skill based on feedback and benchmarks
6. Repeat until satisfied; expand the test set and try again at scale

Identify where the user is in this loop and jump in there. New skill from scratch → start at step 1. Existing draft → jump to step 3 or 4. User wants to vibe-iterate without formal evals → support that.

Two entry paths

The skill supports two distinct workflows. Identify which one the user is on before you do anything else, they don't share a starting step.

• Path A, Create a new skill from scratch. The user wants to capture a workflow, codify a pattern, or build a new capability. Start at "Creating a skill" below (Capture Intent → Interview → Write SKILL.md → Test → Eval).
• Path B, Improve an existing skill. The user points to a skill that already exists and wants it brought up to standard, fixed, optimized, or iterated based on eval feedback. Do not start with Capture Intent, the intent is already encoded in the existing SKILL.md. Start at "Improving an existing skill" below.

If the request is ambiguous ("can you look at this skill?"), assume Path B and confirm before interviewing as if it were new. Path B also fires when /skill-creator is invoked on a skill directory or file.

Both paths share the mandatory rules below: Repo Sync Before Edits, Dependency Preflight, Self-Improve, Version Management, YAML Frontmatter Safety, and Frontmatter Audit on Review/Evaluation. Both close with the Run stats block.