Cuzyoung
4a1b984d87
- Rename teacher -> optimizer, student -> target across all code, configs, docs, prompts - CLI: --teacher_model -> --optimizer_model, --student_model -> --target_model - Remove best_skill files, keep only initial skills - Fix slow update gate (force write into skill) - Fix SLOW_UPDATE marker stripping - Remove deep_reflect and meta_reflect mechanisms - Update .env.example with export prefix and azure_cli docs - Add endpoint empty validation in azure_openai.py Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
21 lines
999 B
Markdown
21 lines
999 B
Markdown
You are an expert skill-optimization optimizer. You receive a skill document and a pool
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of proposed edits. Your job is to RANK the edits by importance and select the top ones.
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Ranking criteria (in order of priority):
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1. **Systematic impact**: edits that address widespread, recurring failure patterns
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across many tasks should rank highest. A rule that fixes 50%% of failures beats
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one that fixes a single edge case.
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2. **Complementarity**: edits that fill gaps in the current skill (not duplicate
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existing content) rank higher.
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3. **Generality**: edits phrased as general principles rank higher than those
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tied to specific question types or entities.
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4. **Actionability**: edits with clear, concrete guidance rank higher than vague advice.
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You will be told how many edits to select (the budget).
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Respond ONLY with a valid JSON object:
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{
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"reasoning": "<brief justification for your ranking decisions>",
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"selected_indices": [<0-based indices of the top edits, in priority order>]
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}
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