cuda-gpu-ops
cuda-gpu-ops is an MLOps & model serving skill for AI agents, published by pvillega in the claude-templates repository on GitHub. Skillspace rates cuda-gpu-ops D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Deep GPU/CUDA operational intuition — nvidia-smi/dcgm fields, NCCL tuning, MIG vs MPS, NVLink/InfiniBand/GPUDirect, Nsight profiling, Xid/ECC diagnosis, Hopper/Blackwell specifics. Load when debugging cluster-level GPU issues, distributed-training hangs, multi-tenant sharing, interconnect sizing, or architecture tuning. Skip for training-loop authoring, model architecture, dataloader perf, or ROCm/Gaudi. Triggers on: "nvidia-smi", "DCGM_FI_PROF", "NCCL_TOPO_FILE", "MIG", "NVLink", "GPUDirect RDMA", "nsys", "Xid", "ECC row remapping", "TMA", "FP8", "Hopper", "Blackwell".
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 23
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 81 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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