cuda-profiling
cuda-profiling is a Runtime diagnostics & profiling skill for AI agents, published by mohitmishra786 in the low-level-dev-skills repository on GitHub. Skillspace rates cuda-profiling D (68/100) and it passed the safety scan; the rating is based on static analysis only.
CUDA profiling skill for NVIDIA GPU performance analysis. Use when profiling kernels with Nsight Systems or Nsight Compute, interpreting roofline models, diagnosing memory-bound vs compute-bound kernels, or annotating code with NVTX ranges. Activates on queries about Nsight, NCU, ncu CLI, GPU roofline, occupancy metrics, or CUDA profiling workflow.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 133
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.