sm120-cuda-expert
sm120-cuda-expert is an MLOps & model serving skill for AI agents, published by kekzl in the imp repository on GitHub. Skillspace rates sm120-cuda-expert C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Use when writing, reviewing, or optimizing CUDA kernels targeting sm_120a (RTX 5090 / Consumer Blackwell, GB202) in the imp inference engine. Triggers on CUDA/PTX kernel code, shared-memory layout, tensor-core MMA, GEMV/GEMM/attention/quantization kernels, decode tok/s under expected, kernel emitting HMMA instead of mxf4nvf4, occupancy or register-pressure questions. Pair with `benchmark-cuda` for measurement and `check-degeneration` after hot-path changes.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 30
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.