KernelWiki

KernelWiki is an MLOps & model serving skill for AI agents, published by mit-han-lab in the KernelWiki repository on GitHub. Skillspace rates KernelWiki C (79/100) and it passed the safety scan; the rating is based on static analysis only.

Use when the user asks about optimizing NVIDIA Blackwell (SM100, B200) or Hopper (SM90, H100) GPU kernels — tcgen05/TMEM/CLC/NVFP4/2-SM cooperative, warp specialization, FlashAttention-4, DeepGEMM, FlashMLA, MoE, grouped GEMM, CuTe-DSL/PTX/Triton on Blackwell, or wants concrete PR references from CUTLASS/SGLang/vLLM/FlashInfer/PyTorch. Do NOT use for generic CUDA Q&A that is not Blackwell/Hopper-specific, host-side framework integration, or distributed systems (DeepEP/EPLB/DualPipe).

Grade
C
Quality
79 / 100
Safety
Passed
GitHub stars
304

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.

View source on GitHubmit-han-lab/KernelWiki

Our review

Architecture
97 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
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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