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Triton Kernels Skill

AI Agent SkillPythonOpen source

This skill provides patterns and guidance for developing portable, optimized Triton kernels that run on NVIDIA and AMD GPUs without modification. For backend-specific tuning, see rocm-kernels (AMD) and xpu-kernels (Intel). Published by huggingface in kernels.

What is Triton Kernels Skill?

This skill provides patterns and guidance for developing portable, optimized Triton kernels that run on NVIDIA and AMD GPUs without modification. For backend-specific tuning, see rocm-kernels (AMD) and xpu-kernels (Intel). Published by huggingface in kernels. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
71/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Testing
  • Writing
  • Testing use cases
  • Writing use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use Triton Kernels Skill

  • Use it for testing.
  • Use it for writing.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: huggingface
  • Repository: huggingface/kernels
  • Skill file: kernel-builder/skills/triton-kernels/SKILL.md

What it does

This skill provides patterns and guidance for developing portable, optimized Triton kernels that run on NVIDIA and AMD GPUs without modification. For backend-specific tuning, see rocm-kernels (AMD) and xpu-kernels (Intel).

Skill instructions

| name | triton-kernels | | --- | --- | | description | Provides guidance for writing and benchmarking portable Triton kernels targeting NVIDIA and AMD GPUs. Covers core DSL patterns, @triton.autotune, numerics (fp16/bf16/fp8), masked loads, reductions, tiling, benchmarking harness, correctness testing, and integration with HuggingFace Kernels Hub (getkernel). Vendor-neutral: points to rocm-kernels and xpu-kernels for backend-specific tuning. | | disable-model-invocation | false | | user-invocable | true | | allowed-tools | Read, Grep, Glob, Bash | | argument-hint | kernel type: softmax, matmul, rmsnorm, layernorm, activation, reduction, element-wise, autotune, benchmark, correctness, getkernel, transformers, diffusers | Portable Triton Kernels This skill provides patterns and guidance for developing portable, optimized Triton kernels that run on NVIDIA and AMD GPUs without modification. For backend-specific tuning, see rocm-kernels (AMD) and xpu-kernels (Intel). When This Skill Applie

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Frequently asked questions

What is Triton Kernels?

Triton Kernels is a open-source AI agent skill with Copy skill directory. This skill provides patterns and guidance for developing portable, optimized Triton kernels that run on NVIDIA and AMD GPUs without modification.

Who is Triton Kernels best for?

Triton Kernels is best for reusing agent instructions, scripts, and references, testing workflows, writing workflows.

How do I install Triton Kernels?

Install or run Triton Kernels using Copy skill directory. Check Triton Kernels for the latest setup command.

Is Triton Kernels actively maintained?

Triton Kernels may need a closer maintenance check before production use.

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Stars
711
Forks
111
Last commit
9 days ago
Repository age
2 years
License
Apache-2.0

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