xe2-sdp-kernels
xe2-sdp-kernels is an Embedded, IoT & robotics skill for AI agents, published by ModelTC in the LightX2V repository on GitHub. Skillspace rates xe2-sdp-kernels D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when writing, optimizing, benchmarking, or debugging Flash Attention SDP kernels (prefill full-dense or decode full-dense) targeting Intel Xe2 (Lunar Lake/LNL, Battlemage/BMG) GPU using SYCL ESIMD. Xe2 is the GPU architecture; LNL and BMG are product names. Covers the complete optimization journey from scalar loops to DPAS, GQA layout, two-phase decode, perf testing methodology, and all hardware constraints discovered through implementation.
- Grade
- D
- Quality
- 65 / 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
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
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