kernel-KBS

Community

Search evidence-backed GPU kernel know-how fast.

Authorfmh66
Version1.0.0
Installs0

System Documentation

What problem does it solve?

kernel-KBS eliminates slow, unfocused searching when you need evidence-backed GPU kernel implementation patterns across CUDA, Triton, CuTe, CUTLASS, and Blackwell/Hopper research. It helps you find merged-PR provenance, curated synthesis pages, and performance-related notes without mixing in environment checks, correctness testing, or profiling/benchmarking workflows.

Core Features & Use Cases

  • Evidence-backed retrieval: Query a SQLite-centered corpus to surface canonical pages with provenance links to sources and artifacts.
  • Hardware/technique/scenario filtering: Narrow results by architecture, language, repo, tags, symptoms, confidence, and whether code is available.
  • Evidence-first answering: Fetch selected documents (optionally following sources and including code) and cite stable ids and canonical paths instead of guessing.

Quick Start

Ask kernel-KBS to find evidence for your topic by querying the SQLite corpus for the most relevant pages, e.g. "Retrieve the top 10 evidence-backed pages for nvfp4 GEMV on sm100 and include the sources and any code."

Dependency Matrix

Required Modules

sqlite3 (stdlib)PyYAML

Components

scriptsreferences

💻 Claude Code Installation

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Please help me install this Skill:
Name: kernel-KBS
Download link: https://github.com/fmh66/kernel-opt-agent/archive/main.zip#kernel-kbs

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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