udf-optimize-cudf
udf-optimize-cudf is a Runtime diagnostics & profiling skill for AI agents, published by NVIDIA in the cudf-spark repository on GitHub. Skillspace rates udf-optimize-cudf B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Iteratively optimizes a cuDF RapidsUDF implementation for GPU performance. Use after testing and benchmarking with udf-benchmark. Runs a loop of profiling, optimizing, testing, and benchmarking until performance converges or the iteration budget is exhausted.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 986
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Optimizing cuDF RapidsUDF code; applies to any user of cuDF
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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