cpize_model_workflow

cpize_model_workflow is an MLOps & model serving skill for AI agents, published by NVIDIA-BioNeMo in the boltz-cp repository on GitHub. Skillspace rates cpize_model_workflow F (52/100) and it passed the safety scan; the rating is based on static analysis only.

Orchestrate the END-TO-END integration of context parallelism into a custom co-folding / structure-prediction model: turn the whole effort into a prioritized, dependency-sorted worklist, then drive it phase by phase — map the model (learn_context), verify infra (build_infra), shard data features (shard_data_feats), port modules (dtensor_modules, fanned out via dispatch_work), prove correctness (test), wire the trainer/predictor (dist_lifecycle), and finally profile memory and compute (mem_profile, nsys_profile) and benchmark. Use as the front door when the user wants to "CP-ify my model" as a whole program of work — it prioritizes, sequences, and gates the long task list and delegates each task to the right fold-cp skill. Not for a single module (use dtensor_modules + test directly).

Grade

F

Quality

52 / 100

Safety

Passed

GitHub stars

51

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