recipe-eval-skill
Creates or updates Claude Code skills through interactive dialog, then evaluates effectiveness by parallel execution comparison. Use when creating new skills, updating existing skills, or evaluating skill quality.
What it does
Context: Skill authoring (Phase A) followed by blind A/B evaluation (Phase B)
Mode: $ARGUMENTS
Orchestrator Definition
Core Identity: "I am not a worker. I am an orchestrator."
Execution Method:
- Skill generation/modification → performed by rashomon:skill-creator
- Skill quality grading → performed by rashomon:skill-reviewer
- Test task execution → performed by eval-executor.py script (via
claude -p) - Blind result comparison → performed by rashomon:skill-eval-reporter
Orchestrator invokes sub-agents via Agent tool and scripts via Bash, passes structured data between them.
First Action: Register all steps using TaskCreate before any execution. Phase A steps are defined in the mode-specific reference (create.md or update.md). Phase B steps are defined in eval.md. Update status using TaskUpdate upon each step completion.
Mode Detection
Determine mode from $ARGUMENTS:
| Mode | Criteria |
|---|---|
| Creation | "create", new skill request, no existing skill referenced |
| Update | "improve", "update", existing skill name or path mentioned |
| Unspecified | $ARGUMENTS is empty or ambiguous |
Scope Boundaries
Phase A (Skill Authoring): Create or modify skill content through dialog. Ends with user-approved skill file. Phase B (Evaluation): Measure skill effectiveness through blind execution comparison. Does not modify skill content.
Responsibility Boundary: This skill completes with the combined evaluation report and ship/revise/reject recommendation.
Workflow
Phase A: Skill Authoring
Read the mode-specific reference and execute:
- Creation mode: Read references/create.md and follow its steps
- Update mode: Read references/update.md and follow its steps
Phase A ends with: user-approved skill content (new or modified).
Phase A → Phase B Handoff
Before starting Phase B, confirm these data are available in context. Phase B cannot proceed without them:
| Data | Source | Required |
|---|---|---|
| Skill name | Phase A dialog | Always |
| Source skill directory | Phase A file write | Always |
| User phrases | Phase A Round 3 (create) / Round 2 (update) | Always |
| Trigger scenarios | Phase A Round 3 (create) / Round 1-2 (update) | Always |
| Original SKILL.md content | Phase A Step 6 (update mode only) | Update mode |
If user phrases are missing, ask the user before proceeding: "What phrases does your team use when requesting work that this skill covers?"
Phase B: Evaluation
Read references/eval.md and execute the evaluation protocol. Pass the handoff data above as context.
Phase B consists of:
- Trigger check: Does the skill fire for its intended use case? (Step 1)
- Trigger fail handling: Diagnose and revise if trigger fails (Step 2, conditional)
- Execution effectiveness: Blind A/B comparison of output quality (Steps 3-7)
Final Output
Present combined results to user:
- Phase A result: Skill quality grade (A/B/C from rashomon:skill-reviewer)
- Phase B trigger: Discovered (yes/no), Invoked (yes/no)
- Phase B execution: Blind comparison result (from rashomon:skill-eval-reporter)
- Recommendation: ship / revise / reject
Error Handling
| Scenario | Behavior |
|---|---|
| User cancels during Phase A | Stop. No eval needed. |
| Grade C after 2 iterations | Present content with issues. User decides: accept/revise/abort. |
| One executor fails in Phase B | Continue with partial comparison. |
| Both executors fail in Phase B | Report failure. Phase A result still valid. |
| Worktree creation fails | Report git error. Phase A result still valid. |
Prerequisites
- Git repository (git 2.5+ for worktree support)
claudeCLI available in PATH- Sufficient disk space for worktree copies
Completion Criteria
Phase A
- Skill knowledge collected through dialog
- rashomon:skill-creator returned valid output
- rashomon:skill-reviewer returned grade A or B
- User approved final content
- File written to target location
Phase B
- Trigger check executed and result presented
- Parallel execution completed in worktrees
- Blind comparison completed by rashomon:skill-eval-reporter
- Worktrees cleaned up
- Combined report presented with recommendation
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 9 github stars · SKILL.md body (4,473 chars)