skill-tuning

Solid

Universal skill diagnosis and optimization tool. Detect and fix skill execution issues including context explosion, long-tail forgetting, data flow disruption, and agent coordination failures. Supports Agy CLI for deep analysis. Triggers on "skill tuning", "tune skill", "skill diagnosis", "optimize skill", "skill debug".

AI & Automation 482 stars 62 forks Updated today

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Quality Score: 87/100

Stars 20%
89
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 Tuning Autonomous diagnosis and optimization for skill execution issues. ## Pre-load (before execution) 1. **Codebase docs**: If `.workflow/codebase/ARCHITECTURE.md` exists, read for project context 2. **Specs**: `maestro load --type spec --category coding` — load coding conventions 3. **Wiki knowledge**: `maestro search "skill design optimization" --json` — top 5 entries as prior context 4. All optional — proceed without if unavailable ## Architecture ``` ┌─────────────────────────────────────────────────────┐ │ Phase 0: Read Specs (mandatory) │ │ → problem-taxonomy.md, tuning-strategies.md │ └─────────────────────────────────────────────────────┘ ↓ ┌─────────────────────────────────────────────────────┐ │ Orchestrator (state-driven) │ │ Read state → Select action → Execute → Update → ✓ │ └─────────────────────────────────────────────────────┘ ↓ ↓ ┌──────────────────────┐ ┌──────────────────┐ │ Diagnosis Phase │ │ Agy CLI │ │ • Context │ │ Deep analysis │ │ • Memory │ │ (on-demand) │ │ • DataFlow │ │ │ │ • Agent │ │ Complex issues │ │ • Docs │ │ Architecture │ │ • Token Usage │ │ Performance │ └──────────────────────┘ └──────────────────┘ ...

Details

Author
catlog22
Repository
catlog22/maestro-flow
Created
4 months ago
Last Updated
today
Language
TypeScript
License
None

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