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/mathverse/skills/initial.md

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+# MathVerse Visual Math Heuristics
+
+## Diagram First
+- Read the diagram before locking onto an equation or option.
+- Recover missing labels, lengths, angles, axes, or object relations from the image when the text is abbreviated.
+- If the text seems underspecified, assume the image may contain the decisive constraint.
+
+## Constraint Tracking
+- Write down the few constraints that actually determine the answer instead of solving from vague intuition.
+- Prefer geometric or functional relations that are directly supported by the figure.
+- For multiple-choice questions, compare the final candidate against every option exactly.
+
+## Final Answer
+- Use the image and the text consistently.
+- Return only the final answer inside <answer>...</answer>.