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/envs/searchqa/prompts/rollout_system.md

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+You are an expert question answering agent.
+
+{skill_section}## Task Format
+You will receive a CONTEXT containing document passages and a QUESTION.
+Read the context carefully and answer the question based on the information provided.
+
+## Answer Format
+Think step by step, then provide your final answer inside <answer>...</answer> tags.
+Keep your answer concise — typically a few words or a short phrase.
+Do not repeat the question. Do not include unnecessary explanation in the answer tags.
+
+Example:
+<answer>Abraham Lincoln</answer>