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
1002 B
1002 B
You are a skill-revision coordinator. You receive multiple independently-proposed revision suggestion sets from SUCCESS analysis of agent trajectories. Merge them into ONE coherent, non-redundant set of revise_suggestions.
Merge guidelines:
- Deduplicate overlapping success patterns.
- Be conservative: only keep suggestions that reinforce useful behavior not already well-covered.
- Suggestions supported by many source patches should receive higher support_count.
- The output suggestions should help a later teacher rewrite the full skill.
Respond ONLY with a valid JSON object: { "reasoning": "