计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
rectified_coupling_interpolation【效率与协作】Build rectified-flow coupling interpolation records with endpoint displacement targets for velocity regression.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Use this skill when a recovery or implementation needs supervised training tuples for rectified flow. Do not use it to fit the velocity model or evaluate transport quality.
x0 and target samples x1, each a list of numeric vectors.[0, 1].x0, x1, t, xt, and target_velocity.xt = (1 - t) * x0 + t * x1 for each pair.target_velocity = x1 - x0.Run python tests/test_interpolation.py or the Distiller skill-tree validator with --run-tests.
This skill prepares the regression dataset only; it does not sample real image data, train a model, or claim recovery success.