Cuda Index Width
pytorch/pytorch
Choose 32-bit vs 64-bit index math in PyTorch CUDA kernels. An agent skill from pytorch/pytorch.
Develops production-ready Triton kernels for Liger Kernel. An agent skill from linkedin/Liger-Kernel.
Install Liger Kernel Dev
$ npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install linkedin/Liger-Kernel liger-kernel-dev --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/linkedin/Liger-Kernel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/liger-kernel-dev .claude/skills/liger-kernel-dev && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "liger-kernel-dev" agent skill from https://github.com/linkedin/Liger-Kernel/tree/main/.agents/skills/liger-kernel-dev into .claude/skills/liger-kernel-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "liger-kernel-dev", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/linkedin/Liger-Kernel/tree/main/.agents/skills/liger-kernel-devType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install linkedin/Liger-Kernel liger-kernel-dev --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkedin/Liger-Kernel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/liger-kernel-dev .agents/skills/liger-kernel-dev && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "liger-kernel-dev" agent skill from https://github.com/linkedin/Liger-Kernel/tree/main/.agents/skills/liger-kernel-dev into .agents/skills/liger-kernel-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "liger-kernel-dev", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install linkedin/Liger-Kernel liger-kernel-dev --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkedin/Liger-Kernel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/liger-kernel-dev .cursor/skills/liger-kernel-dev && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "liger-kernel-dev" agent skill from https://github.com/linkedin/Liger-Kernel/tree/main/.agents/skills/liger-kernel-dev into .cursor/skills/liger-kernel-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "liger-kernel-dev", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/linkedin/Liger-Kernel.git --path .agents/skills/liger-kernel-dev--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install linkedin/Liger-Kernel liger-kernel-dev --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkedin/Liger-Kernel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/liger-kernel-dev .gemini/skills/liger-kernel-dev && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "liger-kernel-dev" agent skill from https://github.com/linkedin/Liger-Kernel/tree/main/.agents/skills/liger-kernel-dev into .gemini/skills/liger-kernel-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "liger-kernel-dev", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install linkedin/Liger-Kernel liger-kernel-devInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/linkedin/Liger-Kernel.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/liger-kernel-dev .github/skills/liger-kernel-dev && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "liger-kernel-dev" agent skill from https://github.com/linkedin/Liger-Kernel/tree/main/.agents/skills/liger-kernel-dev into .github/skills/liger-kernel-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "liger-kernel-dev", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install linkedin/Liger-Kernel liger-kernel-dev --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/linkedin/Liger-Kernel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/liger-kernel-dev .opencode/skills/liger-kernel-dev && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "liger-kernel-dev" agent skill from https://github.com/linkedin/Liger-Kernel/tree/main/.agents/skills/liger-kernel-dev into .opencode/skills/liger-kernel-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "liger-kernel-dev", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
liger-kernel-dev- GitHub stars
- 6.6k
- Token cost
- ~799 tokens
- SKILL.md length
- 293 words
- Files
- 13
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- BSD-2-Clause
At a glance
Develops production-ready Triton kernels for Liger Kernel. An agent skill from linkedin/Liger-Kernel.
- Works in 3 steps: Analyze → Generate → Validate
- Adding a new Triton kernel
- SKILL.md covers Mode Detection, Pipeline (Create Mode), Pipeline (Modify Mode) and Reference Files
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Liger Kernel Dev is an agent skill from linkedin/Liger-Kernel. 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 Triton kernel, converting a PyTorch operation to Triton, or updating an existing Liger kernel.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files (for example `analyzer.md`, `examples/cross-entropy-profile.md` and `examples/rms-norm-profile.md`).
It sits in AI & LLM Engineering, covering GPU and accelerator computing, Deep learning and Unit testing. It works with PyTorch and Mistral AI. The repository describes itself as: Efficient Triton Kernels for LLM Training. The licence is BSD-2-Clause.
When your agent uses it
- Adding a new Triton kernel
- Converting a PyTorch operation to Triton
- Updating an existing Liger kernel
Example prompts
- “Use the liger-kernel-dev skill to develop production-ready Triton kernels for Liger Kernel. An agent skill from linkedin/Liger-Kernel”
- “/liger-kernel-dev”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit b5cdbf7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Liger Kernel Dev loads about 799 tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 293 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from linkedin/Liger-Kernel at commit b5cdbf7, republished under its BSD-2-Clause licence (© linkedin). 293 words, ~799 tokens.
Download SKILL.mdSave it as
.claude/skills/liger-kernel-dev/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- liger-kernel-dev
- description
- 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 Triton kernel, converting a PyTorch operation to Triton, or updating an existing Liger kernel.
Liger Kernel Dev
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:
src/liger_kernel/ops/{kernel}.py— NEW Triton kernels + autograd Functionsrc/liger_kernel/transformers/{kernel}.py— NEW nn.Module wrappersrc/liger_kernel/transformers/functional.py— MODIFY add functional APIsrc/liger_kernel/ops/__init__.py— MODIFY export Function classsrc/liger_kernel/transformers/__init__.py— MODIFY export Module +__all__test/transformers/test_{kernel}.py— NEW unit testsbenchmark/scripts/benchmark_{kernel}.py— NEW benchmark scriptbenchmark/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)
- Read existing kernel files to understand current implementation
- Understand the requested modification
- Make targeted changes (Generator handles this)
- Run full Validate stage (same as create mode)
Reference Files
- kernel-profile-format.md — Kernel profile schema and field descriptions
- examples/swiglu-profile.md — Tier 1 (element-wise) reference
- examples/rms-norm-profile.md — Tier 2 (reduction) reference
- examples/cross-entropy-profile.md — Tier 3 (fused/complex) reference
- Templates in templates/ — Code generation patterns for each file type
© linkedin, BSD-2-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 12 other files in .agents/skills/liger-kernel-dev of linkedin/Liger-Kernel.
- SKILL.md
- analyzer.md
- examples/cross-entropy-profile.md
- examples/rms-norm-profile.md
- examples/swiglu-profile.md
- generator.md
- kernel-profile-format.md
- templates/benchmark.md
- templates/functional-api.md
- templates/module-wrapper.md
- templates/ops-kernel.md
- templates/unit-test.md
- validator.md
Open the folder on GitHubat commit b5cdbf7
Compare with similar skills
Liger Kernel Dev next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Liger Kernel Dev this skilllinkedin/Liger-Kernel | 6.6k | — | ~799 | Automated safety check: Pass | BSD-2-Clause | |
| Cuda Index Widthpytorch/pytorch | 104k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| Metal Kernelpytorch/pytorch | 104k | — | ~4.9k | Automated safety check: Pass | Custom licence | |
| PyTorch Lightning TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Pt2 Bug Basherpytorch/pytorch | 104k | — | ~3.5k | Automated safety check: Pass | Custom licence |
Similar skills
Graphsignal
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
Metal Kernel
pytorch/pytorch
Write Metal/MPS kernels for PyTorch operators. An agent skill from pytorch/pytorch.
PyTorch Lightning Training
Orchestra-Research/AI-Research-SKILLs
Shows how to organize PyTorch training with Lightning's LightningModule and Trainer, covering validation, DDP, callbacks and learning-rate scheduling.
Pt2 Bug Basher
pytorch/pytorch
Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches.
Ray Train Distributed Training
Orchestra-Research/AI-Research-SKILLs
Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.
More from linkedin/Liger-Kernel
Liger Autopatch
linkedin/Liger-Kernel
Adds Liger Kernel support for a new HuggingFace Transformers model, or modifies existing monkey-patching.
Liger Kernel Perf
linkedin/Liger-Kernel
Optimizes the performance of existing Liger Kernel Triton kernels.
Related
Works with
Categories
Questions about Liger Kernel Dev
What does Liger Kernel Dev do?
Develops production-ready Triton kernels for Liger Kernel. An agent skill from linkedin/Liger-Kernel. Liger Kernel Dev is an agent skill from linkedin/Liger-Kernel. Develops production-ready Triton kernels for Liger Kernel.
When should I use Liger Kernel Dev?
Liger Kernel Dev fits situations like: adding a new Triton kernel; converting a PyTorch operation to Triton; updating an existing Liger kernel.
How do I install Liger Kernel Dev in Claude Code?
Run `npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a claude-code`. Or copy the skill folder (.agents/skills/liger-kernel-dev in linkedin/Liger-Kernel) into .claude/skills/liger-kernel-dev in your project. Claude Code loads it when a task matches its description.
How do I install Liger Kernel Dev in Codex?
Run `npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a codex`. Or copy the skill folder (.agents/skills/liger-kernel-dev in linkedin/Liger-Kernel) into .agents/skills/liger-kernel-dev in your project. Codex loads it when a task matches its description.
Can I use Liger Kernel Dev in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add linkedin/Liger-Kernel --skill liger-kernel-dev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/liger-kernel-dev, .gemini/skills/liger-kernel-dev, .github/skills/liger-kernel-dev and .opencode/skills/liger-kernel-dev in your project.
What does Liger Kernel Dev need to run?
SKILL.md names no scripts, command-line tools or credentials: Liger Kernel Dev is instructions for the agent only.
Does Liger Kernel Dev access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Liger Kernel Dev safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Liger Kernel Dev use?
Liger Kernel Dev is published under the BSD-2-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Liger Kernel Dev use?
About 799 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Liger Kernel Dev?
Skills that share tags, products or a category with Liger Kernel Dev: Cuda Index Width (pytorch/pytorch, 104k stars), Graphsignal (graphsignal/graphsignal, 257 stars), Metal Kernel (pytorch/pytorch, 104k stars) and PyTorch Lightning Training (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Liger Kernel Dev?
linkedin (a GitHub organization) maintains it in linkedin/Liger-Kernel, which has 6,647 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 7, 2026.
Source: linkedin/Liger-Kernel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.