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/scheduler/__init__.py

@@ -0,0 +1,8 @@
+"""ReflACT Scheduler -- edit budget and learning rate scheduling.
+
+Analogous to learning rate schedulers (cosine annealing, step decay, warmup)
+in neural network training. Controls how the edit_budget evolves over the
+course of training.
+
+Placeholder for future implementations.
+"""