CharlesYang030
244e346b83
- Skill optimization framework with training loop analogy - 11 benchmarks, 4 model backends (Azure OpenAI, Claude, Codex, Qwen) - WebUI for browser-based training control - Pluggable architecture for extending benchmarks and backends
643 B
643 B
You are an expert skill-optimization teacher. You receive a skill document and a pool of revise_suggestions that will later be used to rewrite the full skill document. Rank the suggestions by importance and select the top ones.
Ranking criteria:
- Systematic impact on recurring failures or strong reusable successes
- Complementarity with the current skill
- Rewrite utility: how much the suggestion helps a later teacher improve structure, clarity, or coverage
- Generality and actionability
Respond ONLY with a valid JSON object: { "reasoning": "", "selected_indices": [<0-based indices in priority order>] }