tilelang-developer
Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming). Use when the user requests: (1) Writing custom GPU kernels for AI workloads (GEMM, Attention, MLA, etc.), (2) Optimizing existing TileLang code for NVIDIA, AMD, or Ascend hardware, (3) Implementing non-standard operators (like DeepSeek MLA, FlashAttention variants), (4) Debugging TileLang compilation or runtime errors, or (5) Cross-platform kernel development targeting multiple GPU vendors.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install yzlnew-infra-skills-tilelang-developer
Repository
Skill path: tilelang-developer
Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming). Use when the user requests: (1) Writing custom GPU kernels for AI workloads (GEMM, Attention, MLA, etc.), (2) Optimizing existing TileLang code for NVIDIA, AMD, or Ascend hardware, (3) Implementing non-standard operators (like DeepSeek MLA, FlashAttention variants), (4) Debugging TileLang compilation or runtime errors, or (5) Cross-platform kernel development targeting multiple GPU vendors.
Open repositoryBest for
Primary workflow: Write Technical Docs.
Technical facets: Full Stack, Data / AI, Tech Writer, Testing.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: yzlnew.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install tilelang-developer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/yzlnew/infra-skills before adding tilelang-developer to shared team environments
- Use tilelang-developer for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.