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/gradient/__init__.py

@@ -0,0 +1,17 @@
+"""ReflACT Gradient -- trajectory analysis and patch generation.
+
+Analogous to gradient computation in neural network training: analyzes
+minibatch rollout trajectories to produce skill-edit patches (the "gradient"
+that drives skill updates).
+
+Modules
+-------
+- reflect: minibatch trajectory analysis (gradient computation)
+- aggregate: hierarchical patch merging (gradient aggregation)
+- deep_probe: diagnostic probe generation (gradient probing)
+"""
+from skillopt.gradient.reflect import (  # noqa: F401
+    run_minibatch_reflect,
+)
+from skillopt.gradient.aggregate import merge_patches  # noqa: F401
+from skillopt.gradient.deep_probe import generate_deep_probe_instruction  # noqa: F401