xe2-dpas-patterns
xe2-dpas-patterns is an Embedded, IoT & robotics skill for AI agents, published by ModelTC in the LightX2V repository on GitHub. Skillspace rates xe2-dpas-patterns D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill when writing, loading operands for, or storing results from XMX DPAS instructions on Intel Xe2 (Lunar Lake/LNL, Battlemage/BMG) GPU using SYCL ESIMD. Xe2 is the GPU architecture; LNL and BMG are product names. Covers all four DPAS operand load patterns (lsc_load_2d, lsc_gather, VNNI packing), scatter/store write-back, Usage 1 vs Usage 2 orientation, and the SOA property of lsc_gather. Applicable to any kernel using DPAS: GEMM, attention, convolution, etc.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 2,806
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
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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