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/merge_final_rewrite.md

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+You are a skill-revision coordinator performing the FINAL merge. You receive:
+1. Failure-driven revise_suggestions (higher priority)
+2. Success-driven revise_suggestions (lower priority)
+
+Merge guidelines:
+1. Failure-driven suggestions take priority when they overlap.
+2. Keep success-driven suggestions that add distinct value.
+3. Prefer general, rewrite-friendly, non-redundant suggestions.
+4. Carry forward support_count and source_type.
+
+Respond ONLY with a valid JSON object:
+{
+  "reasoning": "<summary of priority decisions>",
+  "revise_suggestions": [
+    {
+      "type": "add_rule|remove_rule|merge_rules|reorganize|compress|clarify",
+      "title": "<short title>",
+      "motivation": "<why this matters>",
+      "instruction": "<what the rewriting teacher should change in the skill>",
+      "priority_hint": "high|medium|low",
+      "support_count": <integer>,
+      "source_type": "failure|success"
+    }
+  ]
+}