Loading skill
Install any skill in seconds. Free to start, no credit card required.
Get Started Free →catlog22/skill-iter-tune
Iterative skill tuning via execute-evaluate-improve feedback loop. Uses maestro delegate Claude to execute skill, Agy to evaluate quality, and Agent to apply improvements. Iterates until quality threshold or max iterations.
Passed 8 of 14 test cases with the skill, and 4 of 14 without it.
and 8 more in the full report
9 fixed3 passed either way6 still failing4 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
In iteration 2 of tuning `regex-builder`, the evaluation returned an overall quality score of 85, while the configured quality threshold is 80. Determine whether the loop continues to Phase 4 or terminates.
| Checked | Without skill | With skill |
|---|---|---|
| Terminates the iteration loop because the score meets or exceeds the quality threshold | Passed | Passed |
| Skips Phase 4 improvement step upon termination | Missed | Passed |
The instructions your model reads when the skill loads.
Plan tracking: codex 无 TaskCreate/TaskUpdate/TodoWrite 任务板。进度清单用
update_plan({ explanation?, plan: [{ step, status }] })维护（整体提交步骤数组，status:pending|in_progress|completed），权威状态始终在 session 工件中；依赖/认领（addBlockedBy/owner）是工件字段，不是工具参数。
<required_reading>
@/.maestro/workflows/run-mode.md
@/.maestro/workflows/codex-run-mode.md
</required_reading>
Iterative skill refinement through execute-evaluate-improve feedback loops. Each iteration runs the skill via Claude, evaluates output via Agy, and applies improvements via Agent.
┌──────────────────────────────────────────────────────────────────────────┐
│ Skill Iter Tune Orchestrator (SKILL.md) │
│ → Parse input → Setup workspace → Iteration Loop → Final Report │
└────────────────────────────┬─────────────────────────────────────────────┘
│
┌───────────────────┼───────────────────────────────────┐
↓ ↓ ↓
┌──────────┐ ┌─────────────────────────────┐ ┌──────────┐
│ Phase 1 │ │ Iteration Loop (2→3→4) │ │ Phase 5 │
│ Setup │ │ ┌─────┐ ┌─────┐ ┌─────┐ │ │ Report │
│ │─────→│ │ P2 │→ │ P3 │→ │ P4 │ │────→│ │
│ Backup + │ │ │Exec │ │Eval │ │Impr │ │ │ History │
│ Init │ │ └─────┘ └─────┘ └─────┘ │ │ Summary │
└──────────┘ │ ↑ │ │ └──────────┘
│ └───────────────┘ │
│ (if score < threshold │
│ AND iter < max) │
└─────────────────────────────┘
Chain Mode (execution_mode === "chain"):
Phase 2 runs per-skill in chain_order:
test cases passed, vs 4 / 14 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.