intel-gpu-kernel-opt

intel-gpu-kernel-opt is a Runtime diagnostics & profiling skill for AI agents, published by ModelTC in the LightX2V repository on GitHub. Skillspace rates intel-gpu-kernel-opt F (53/100) and it passed the safety scan; the rating is based on static analysis only.

General Intel GPU kernel optimization methodology. Use this skill when profiling or optimizing any ESIMD or SYCL kernel on Intel GPUs, performing roofline analysis, diagnosing bottlenecks (register spill, SLM bank conflicts, barrier overhead, memory coalescing), comparing Xe2 vs Xe3 hardware, or planning an optimization workflow. Covers VTune and GTPin profiling, key metrics (TFLOPS, GB/s, peak %), hardware comparison (Xe2: LNL/BMG vs Xe3: PTL/PTLH), and optimization patterns (prefetch, load/compute separation, loop unrolling, SIMD width selection). Xe2 is the architecture for Lunar Lake (LNL) and Battlemage (BMG); Xe3 is the architecture for Panther Lake (PTL) and Panther Lake-H (PTLH). Trigger for any Intel GPU performance question.

Grade
F
Quality
53 / 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
73 / 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

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