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>
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@@ -70,7 +70,7 @@ Track your skill's evolution through:
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1. **Start with a seed skill** (`env.skill_init`) if you have domain knowledge — it converges faster
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2. **Use cosine LR schedule** — aggressive early exploration + careful late refinement
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3. **Enable slow update** (`use_slow_update: true`) to prevent forgetting across epochs
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4. **Enable meta skill** (`use_meta_skill: true`) so the teacher accumulates strategy memory
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4. **Enable meta skill** (`use_meta_skill: true`) so the optimizer accumulates strategy memory
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## Next Steps
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