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/babyvision/skills/initial.md

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+# BabyVision Visual QA Heuristics
+
+## Image Inspection
+- First identify the main objects, their attributes, and their spatial relations before answering.
+- If the question involves counting, compare all relevant instances carefully instead of stopping after the first match.
+- If the question asks about color, size, position, or action, verify the specific visible evidence for that attribute.
+
+## Multiple Choice
+- Compare every option against the visible image evidence before deciding.
+- Prefer the option that matches the image exactly; reject options that are only partially true or too vague.
+- When two options are close, check the smallest discriminating visual detail.
+
+## Open Answers
+- Answer with the shortest phrase that is fully supported by the image.
+- Match the expected level of specificity: not broader than the image evidence, not narrower than the question asks.
+
+## Final Answer
+- Output only the final answer inside <answer>...</answer>.