intel-esimd-fuse
intel-esimd-fuse is a Go, Rust & systems languages skill for AI agents, published by ModelTC in the LightX2V repository on GitHub. Skillspace rates intel-esimd-fuse D (58/100) and it passed the safety scan; the rating is based on static analysis only.
Expert guidance for implementing fused multi-operation kernels on Intel GPUs using ESIMD. Use this skill whenever the user needs to fuse multiple operations into a single kernel pass to minimize memory traffic, such as softmax + top-K + normalize, or any pipeline that chains reduction, selection, and normalization in one kernel. Also trigger for ESIMD softmax implementation, vectorized exp on simd<float,N> for a full row, detail::sum vs reduce pitfall (reduce silently returns 0), fused attention block selection with probability normalization, or any kernel that computes softmax probabilities and immediately selects the top-K entries. The main example is the fused softmax+topk+normalize V2 variant achieving 43.2 GB/s (43% bandwidth utilization) for seq_len=32K, N=128, K=8.
- Grade
- D
- Quality
- 58 / 100
- Safety
- Passed
- GitHub stars
- 2,499
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
- Apache-2.0
- 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.