skill-iter-tune

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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. Triggers on "skill iter tune", "iterative skill tuning", "tune skill".

AI & Automation 549 stars 68 forks Updated 2 days ago

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Quality Score: 87/100

Stars 20%
91
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
0
Description 5%
100

Skill Content

<required_reading> @~/.maestro/workflows/run-mode.md </required_reading> # Skill Iter Tune 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. ## Architecture Overview ``` ┌──────────────────────────────────────────────────────────────────────────┐ │ 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...

Details

Author
catlog22
Repository
catlog22/maestro-flow
Created
5 months ago
Last Updated
2 days ago
Language
TypeScript
License
None

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