Official agent skill

Extract Asm Triton

Extract GPU ISA from Triton kernels on XPU. An agent skill from intel/torch-xpu-ops.

OfficialApache-2.0Auto-check passedAI & LLM Engineering

Install Extract Asm Triton

skills CLI

$ npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install intel/torch-xpu-ops extract-asm-triton --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/extract-asm-triton .claude/skills/extract-asm-triton && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "extract-asm-triton" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-triton into .claude/skills/extract-asm-triton/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-triton", 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

$skill-installer install https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-triton

Type 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.

skills CLI

$ npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install intel/torch-xpu-ops extract-asm-triton --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/extract-asm-triton .agents/skills/extract-asm-triton && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "extract-asm-triton" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-triton into .agents/skills/extract-asm-triton/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-triton", 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.

skills CLI

$ npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install intel/torch-xpu-ops extract-asm-triton --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/extract-asm-triton .cursor/skills/extract-asm-triton && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "extract-asm-triton" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-triton into .cursor/skills/extract-asm-triton/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-triton", 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

$ gemini skills install https://github.com/intel/torch-xpu-ops.git --path .claude/skills/extract-asm-triton

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install intel/torch-xpu-ops extract-asm-triton --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/extract-asm-triton .gemini/skills/extract-asm-triton && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "extract-asm-triton" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-triton into .gemini/skills/extract-asm-triton/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-triton", 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.

GitHub CLI

$ gh skill install intel/torch-xpu-ops extract-asm-triton

Installs 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).

skills CLI

$ npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/extract-asm-triton .github/skills/extract-asm-triton && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "extract-asm-triton" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-triton into .github/skills/extract-asm-triton/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-triton", 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.

skills CLI

$ npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install intel/torch-xpu-ops extract-asm-triton --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/intel/torch-xpu-ops.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/extract-asm-triton .opencode/skills/extract-asm-triton && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "extract-asm-triton" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-triton into .opencode/skills/extract-asm-triton/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-triton", 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: extract-asm-triton
GitHub stars: 115
Token cost: ~806 tokens
SKILL.md length: 159 words
Files: 1
Skills in repo: 29
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Extract GPU ISA from Triton kernels on XPU. An agent skill from intel/torch-xpu-ops.

Works in 3 steps: Identify the kernel name. → Re-run with IGC dump (cold cache). → Match kernel name to .asm.
Extracting ASM from torch.compile fusions (tritonperfused
SKILL.md covers How this fits the compilation…, When to use, When NOT to use and Steps
Calls python

What it does

Extract Asm Triton is an agent skill from intel/torch-xpu-ops, published by the product's own GitHub organization. Extract GPU ISA from Triton kernels on XPU. Triton compiles through the same IGC backend as SYCL (Triton IR → SPIR-V → IGC → zebin). Extraction is identical to sycl-jit: IGCShaderDumpEnable=1 captures the zebin at runtime. Use when extracting ASM from torch.compile fusions (tritonperfused, tritonpoi, tritonred), standalone @triton.jit kernels, or Inductor-generated XPU kernels.

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering GPU and accelerator computing. The licence is Apache-2.0.

When your agent uses it

Extracting ASM from torch.compile fusions (tritonperfused
Standalone @triton.jit kernels
Inductor-generated XPU kernels

Example prompts

“/extract-asm-triton”

Requirements

Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

Identify the kernel name.
Re-run with IGC dump (cold cache).
Match kernel name to .asm.

What it can do on your machine

Read from SKILL.md and the folder at commit a033aa5. 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
Shell commands in SKILL.md call:
- python
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

Extract Asm Triton loads about 806 tokens when it runs. Until then it costs about 101 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~101
When it runs · the whole SKILL.md, loaded when a task matches: ~806

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 intel/torch-xpu-ops at commit a033aa5, republished under its Apache-2.0 licence (© intel). 159 words, ~806 tokens.

Download SKILL.mdSave it as .claude/skills/extract-asm-triton/SKILL.md (or your agent's skills folder).

name: extract-asm-triton
description: Extract GPU ISA from Triton kernels on XPU. Triton compiles through the same IGC backend as SYCL (Triton IR → SPIR-V → IGC → zebin). Extraction is identical to sycl-jit: IGC_ShaderDumpEnable=1 captures the zebin at runtime. Use when extracting ASM from torch.compile fusions (triton_per_fused, triton_poi, triton_red), standalone @triton.jit kernels, or Inductor-generated XPU kernels.

Extract ASM from Triton Kernels on XPU

Triton on XPU uses the same IGC backend as SYCL JIT. The path is: Triton IR → ttgir → SPIR-V → IGC → zebin. Extraction is mechanically identical to extract-asm-syclkernel-jit — both use IGC_ShaderDumpEnable=1 to capture the runtime-compiled zebin. The only difference is how the kernel enters the pipeline (Triton Python compiler vs DPC++ clang frontend).

How this fits the compilation stack

Triton path:
  @triton.jit Python → Triton IR (ttir) → Triton GPU IR (ttgir)
                                                    ↓
                                              SPIR-V (via triton-xpu backend)
                                                    ↓
                                              IGC (JIT) → zebin
                                                    ↓
                                         IGC_ShaderDumpEnable=1 → .asm

Compare with SYCL JIT:
  SYCL C++ → LLVM IR → SPIR-V → IGC (JIT) → zebin → .asm

The back half (SPIR-V → IGC → zebin) is IDENTICAL.

When to use

Hot kernel is triton_per_fused_* / triton_poi_* / triton_red_* (from torch.compile / Inductor)
Or: standalone @triton.jit kernel in a Python script
You need the actual GPU ISA (not Triton IR)

When NOT to use

Kernel is _ZTS… (SYCL) → use extract-asm-syclkernel-{aot,jit}
Kernel is oneDNN ngen → use extract-asm-onednn (different stack)
You only need Triton IR → read ${TRITON_CACHE_DIR:-~/.triton/cache}/ directly

Steps

Identify the kernel name.

Inductor fusion (from torch.compile):

bash

TRITON_CACHE="${TRITON_CACHE_DIR:-$HOME/.triton/cache}"
rm -rf "$TRITON_CACHE" /tmp/torchinductor_$USER
TORCH_LOGS=output_code python <repro.py> 2>&1 \
  | grep -oE 'triton_(poi|per|red)_fused_[A-Za-z0-9_]+' | sort -u

Standalone @triton.jit: use unitrace to pin the kernel:

bash

unitrace -d python <repro.py>
# Or fallback:
SYCL_UR_TRACE=-1 python <repro.py> 2>&1 \
  | grep -oP 'pKernelName = 0x[0-9a-f]+ \(\K[^)]+' | sort -u

Re-run with IGC dump (cold cache).

bash

TRITON_CACHE="${TRITON_CACHE_DIR:-$HOME/.triton/cache}"
rm -rf "$TRITON_CACHE" /tmp/torchinductor_$USER
OUT="<workdir>/triton_$(date +%Y%m%d_%H%M%S)"
mkdir -p "$OUT/igc"

IGC_ShaderDumpEnable=1 \
IGC_DumpToCustomDir="$OUT/igc" \
ONEAPI_DEVICE_SELECTOR=level_zero:0 \
  python <repro.py> 2>&1 | tee "$OUT/run.log"

Match kernel name to .asm.

bash

NAME="<fusion-or-kernel-name>"
MATCH=$(grep -l "$NAME" "$OUT/igc"/OCL_asm*_simd*_entry_*.asm | head -1)
echo "asm-file: $MATCH"

Cross-check: .zeinfo reports simd_size — confirm it matches num_warps * 32.

Files

Just SKILL.md in .claude/skills/extract-asm-triton of intel/torch-xpu-ops.

Open the folder on GitHubat commit a033aa5

Compare with similar skills

Extract Asm Triton 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.

Extract Asm Triton compared with similar skills
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Extract Asm Triton this skillintel/torch-xpu-ops	115	—	~806	Automated safety check: Pass	Apache-2.0	today
Hugging Face LLM Trainerhuggingface/skills	11k	3 repos	~7.2k	Automated safety check: Pass	Apache-2.0	7 days ago
Hugging Face Local Model Evalshuggingface/skills	11k	2 repos	~1.6k	Automated safety check: Pass	Apache-2.0	7 days ago
Fla Triton To Gluonfla-org/flash-linear-attention	5.8k	—	~4.2k	Automated safety check: Pass	MIT	today
Liger Kernel Perflinkedin/Liger-Kernel	6.6k	—	~1.5k	Automated safety check: Pass	BSD-2-Clause	yesterday
DGX Spark Memory and Thermal Opswshobson/agents	40k	1 repos	~2k	Automated safety check: Pass	MIT	3 days ago

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Questions about Extract Asm Triton

What does Extract Asm Triton do?

Extract GPU ISA from Triton kernels on XPU. An agent skill from intel/torch-xpu-ops. Extract Asm Triton is an agent skill from intel/torch-xpu-ops, published by the product's own GitHub organization. Extract GPU ISA from Triton kernels on XPU.

When should I use Extract Asm Triton?

Extract Asm Triton fits situations like: extracting ASM from torch.compile fusions (tritonperfused; standalone @triton.jit kernels; inductor-generated XPU kernels.

How do I install Extract Asm Triton in Claude Code?

Run `npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a claude-code`. Or copy the skill folder (.claude/skills/extract-asm-triton in intel/torch-xpu-ops) into .claude/skills/extract-asm-triton in your project. Claude Code loads it when a task matches its description.

How do I install Extract Asm Triton in Codex?

Run `npx skills add intel/torch-xpu-ops --skill extract-asm-triton -a codex`. Or copy the skill folder (.claude/skills/extract-asm-triton in intel/torch-xpu-ops) into .agents/skills/extract-asm-triton in your project. Codex loads it when a task matches its description.

Can I use Extract Asm Triton 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 intel/torch-xpu-ops --skill extract-asm-triton -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extract-asm-triton, .gemini/skills/extract-asm-triton, .github/skills/extract-asm-triton and .opencode/skills/extract-asm-triton in your project.

What does Extract Asm Triton need to run?

Going by SKILL.md and its folder, Extract Asm Triton needs the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Extract Asm Triton 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 Extract Asm Triton 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 Extract Asm Triton use?

Extract Asm Triton is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Extract Asm Triton use?

About 806 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 Extract Asm Triton?

Skills that share tags, products or a category with Extract Asm Triton: Hugging Face LLM Trainer (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars), Fla Triton To Gluon (fla-org/flash-linear-attention, 5.8k stars) and Liger Kernel Perf (linkedin/Liger-Kernel, 6.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Extract Asm Triton?

intel (a GitHub organization, an official publisher) maintains it in intel/torch-xpu-ops, which has 115 GitHub stars. The repository holds 29 skills in this directory. The repository was last updated on October 8, 2026.

Source: intel/torch-xpu-ops on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Extract Asm Triton

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Extract ASM from Triton Kernels on XPU

How this fits the compilation stack

When to use

When NOT to use

Steps

Files

Compare with similar skills

Similar skills

More from intel/torch-xpu-ops

Related

Questions about Extract Asm Triton