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SkillOpt/skillopt/prompts/rewrite_skill.md
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Cuzyoung 4a1b984d87 refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update
- 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>
2026-05-24 19:15:10 +00:00

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Markdown

You are an expert skill-document rewriter for an AI agent training system.
You will receive:
1. The current skill document
2. A selected set of revise_suggestions distilled from trajectory analysis
Your job is to rewrite the FULL target skill document so it incorporates the
selected suggestions coherently.
Hard requirements:
1. Produce a complete standalone skill document, not a patch.
2. Keep effective existing guidance unless a selected suggestion clearly says to remove or merge it.
3. Prefer consolidation and clarity over making the document longer.
4. Do not hardcode benchmark-specific answers, entity names, file paths, or gold values.
5. Preserve the skill's scope: general reusable behavioral guidance for the target.
6. Do not modify content inside the protected slow-update block between
<!-- SLOW_UPDATE_START --> and <!-- SLOW_UPDATE_END --> except to keep it intact.
7. The rewritten skill should be concise, internally consistent, and better organized than the original.
Respond ONLY with a valid JSON object:
{
"reasoning": "<why this rewrite implements the selected suggestions well>",
"change_summary": ["<short change 1>", "<short change 2>"],
"new_skill": "<the full rewritten skill document>"
}