Liger Kernel Dev

SkillFiles & storage

Lets your agent write and improve Triton kernels for Liger Kernel from PyTorch code or plain descriptions.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Liger Kernel Dev skill

About this capability

Develops production-ready Triton kernels for Liger Kernel. Creates new kernels from PyTorch operations (local files, URLs, code snippets, or natural language) with ops, module wrappers, functional APIs, unit tests, benchmarks, and plots. Also modifies existing Liger kernels. Use when adding a new Tr

What this skill tells your AI

The instructions your AI receives, as published by linkedin/liger-kernel in .agents/skills/liger-kernel-dev/SKILL.md and read by ahel’s review.

Develops Triton kernels for Liger Kernel through a 3-stage pipeline with human review between stages. Supports creating new kernels and modifying existing ones. NVIDIA GPUs only.

Mode Detection

  • Create mode: User asks to create/add/generate/write/build a new kernel → full pipeline
  • Modify mode: User asks to update/fix/change/extend an existing kernel → skip Analyze, modify files, then Validate

Pipeline (Create Mode)

Stage 1: Analyze

Follow the Analyzer workflow in analyzer.md. If the host runtime supports parallel subagents, this stage may be delegated to one; otherwise execute the workflow directly.

Accepts any input: local file, URL, code snippet, natural language description, or model component reference. Produces a standalone PyTorch reference implementation and a kernel profile.

Human checkpoint: Present PyTorch reference + kernel profile. Confirm before proceeding.

Stage 2: Generate

Follow the Generator workflow in generator.md.

Generates/modifies up to 8 files:

  1. src/liger_kernel/ops/{kernel}.py — NEW Triton kernels + autograd Function
  2. src/liger_kernel/transformers/{kernel}.py — NEW nn.Module wrapper
  3. src/liger_kernel/transformers/functional.py — MODIFY add functional API
  4. src/liger_kernel/ops/__init__.py — MODIFY export Function class
  5. src/liger_kernel/transformers/__init__.py — MODIFY export Module + __all__
  6. test/transformers/test_{kernel}.py — NEW unit tests
  7. benchmark/scripts/benchmark_{kernel}.py — NEW benchmark script
  8. benchmark/data/all_benchmark_data.csv — MODIFY (after benchmarks run)

Human checkpoint: Present changes for review.

Stage 3: Validate

Follow the Validator workflow in validator.md.

Runs checkstyle, unit tests (hard gate — stops on persistent failure), benchmarks, and generates plots. Optionally runs ncu profiling.

Human checkpoint: Report final results with benchmark numbers and plots.

Pipeline (Modify Mode)

  1. Read existing kernel files to understand current implementation
  2. Understand the requested modification
  3. Make targeted changes (Generator handles this)
  4. Run full Validate stage (same as create mode)

Reference Files

Signals

GitHub stars
7k
Forks
598
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
liger-kernel-dev
Source
github.com/linkedin/liger-kernel