SkillOpt v0.1.0: initial release

- 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

skillopt/prompts/ranking_rewrite.md

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+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:
+1. Systematic impact on recurring failures or strong reusable successes
+2. Complementarity with the current skill
+3. Rewrite utility: how much the suggestion helps a later teacher improve structure, clarity, or coverage
+4. Generality and actionability
+
+Respond ONLY with a valid JSON object:
+{
+  "reasoning": "<brief justification>",
+  "selected_indices": [<0-based indices in priority order>]
+}