optimize-for-gpu
optimize-for-gpu is a Python skill for AI agents, published by K-Dense-AI in the claude-scientific-skills repository on GitHub. Skillspace rates optimize-for-gpu C (78/100) and it passed the safety scan; a judge model has also reviewed it.
GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #2 of 6 in the judged category final for Python.
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
- 96 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #2 of 6 in the judged category final for Python.
- Trigger
85 85 - Instructions
90 90 - Specificity
90 90 - Safety
80 80 - Disclosure
90 90 - Maintenance
85 85
Treats GPU acceleration as a measured trade-off rather than an automatic rewrite, with a clean workload-to-library decision table and honest tracking of which libraries are now legacy.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- 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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