Official agent skill

Extract Asm Syclkernel Aot

Extract GPU ISA from AOT-compiled SYCL binaries using NEO driver runtime dump.

OfficialApache-2.0Auto-check passed

Install Extract Asm Syclkernel Aot

skills CLI

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

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

GitHub CLI

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

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-syclkernel-aot -a codex

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

GitHub CLI

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

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

GitHub CLI

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

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

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-syclkernel-aot -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-syclkernel-aot .github/skills/extract-asm-syclkernel-aot && 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-syclkernel-aot" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-syclkernel-aot into .github/skills/extract-asm-syclkernel-aot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-syclkernel-aot", 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-syclkernel-aot -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-syclkernel-aot --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-syclkernel-aot .opencode/skills/extract-asm-syclkernel-aot && 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-syclkernel-aot" agent skill from https://github.com/intel/torch-xpu-ops/tree/main/.claude/skills/extract-asm-syclkernel-aot into .opencode/skills/extract-asm-syclkernel-aot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-asm-syclkernel-aot", 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-syclkernel-aot
GitHub stars: 115
Token cost: ~623 tokens
SKILL.md length: 202 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 AOT-compiled SYCL binaries using NEO driver runtime dump.

Works in 4 steps: Verify tools → Dump zebin ELFs via NEO driver → Disassemble → …
The kernel is a SYCL symbol (ZTS...) from an AOT binary such as libtorchxpu.so
SKILL.md covers Key facts, When to use, When NOT to use and Steps
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Extract Asm Syclkernel Aot is an agent skill from intel/torch-xpu-ops, published by the product's own GitHub organization. Extract GPU ISA from AOT-compiled SYCL binaries using NEO driver runtime dump. Use when the kernel is a SYCL symbol (ZTS...) from an AOT binary such as libtorchxpu.so, SYCL-TLA FMHA, or any DPC++ binary compiled with -fsycl-targets=spir64gen -Xs "-device <gpu".

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with C++. The licence is Apache-2.0.

When your agent uses it

The kernel is a SYCL symbol (ZTS...) from an AOT binary such as libtorchxpu.so
Any DPC++ binary compiled with -fsycl-targets=spir64gen -Xs -device <gpu

Example prompts

“-device <gpu”
“/extract-asm-syclkernel-aot”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

Verify tools
Dump zebin ELFs via NEO driver
Disassemble
Identify the target kernel

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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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 Syclkernel Aot loads about 623 tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 202 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~73
When it runs · the whole SKILL.md, loaded when a task matches: ~623

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). 202 words, ~623 tokens.

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

name: extract-asm-syclkernel-aot
description: Extract GPU ISA from AOT-compiled SYCL binaries using NEO driver runtime dump. Use when the kernel is a SYCL symbol (_ZTS...) from an AOT binary such as libtorch_xpu.so, SYCL-TLA FMHA, or any DPC++ binary compiled with -fsycl-targets=spir64_gen -Xs "-device <gpu>".

Extract ASM from AOT-Compiled SYCL Binaries

Key facts

GPU ISA (zebin) was already compiled at build time by IGC and embedded in the host binary.
IGC_ShaderDumpEnable does NOT work — IGC is never invoked at runtime.
Extraction uses NEO driver debug keys to dump the zebin ELF at runtime, then ocloc disasm to produce readable ASM.

When to use

Kernel is a mangled SYCL symbol (_ZTS…) from an AOT-compiled binary whose AOT target matches the current device:
- libtorch_xpu.so / libtorch_xpu_ops.so (default PyTorch XPU build)
- SYCL-TLA FMHA .so
- Standalone DPC++ executable built with -fsycl-targets=spir64_gen

When NOT to use

AOT target does not match current device (e.g. binary built for PVC, running on BMG) → runtime falls back to JIT → use extract-asm-syclkernel-jit
Binary has no AOT code at all → use extract-asm-syclkernel-jit
Kernel is oneDNN ngen (gemm_kernel, gen_conv_kernel) → use extract-asm-onednn
Kernel is Triton (triton_*) → use extract-asm-triton

Steps

Step 1: Verify tools

bash

command -v ocloc >/dev/null || { echo "ocloc not found; source oneapi-vars.sh"; exit 1; }

Step 2: Dump zebin ELFs via NEO driver

Run the workload with NEO debug keys. Only kernels actually dispatched to the GPU will be dumped — no unused kernels appear.

bash

OUT="<workdir>/aot_$(date +%Y%m%d_%H%M%S)"
mkdir -p "$OUT" && cd "$OUT"

DumpZEBin=1 NEOReadDebugKeys=1 <repro_cmd>
ls *.elf

Step 3: Disassemble

bash

# Detect device name (bmg, dg2, pvc, etc.)
DEVICE=$(sycl-ls 2>/dev/null | grep -oP '(?<=\[)[^]]+' | head -1 | awk '{print tolower($NF)}')
DEVICE=${DEVICE:-bmg}  # fallback

for elf in *.elf; do
  name=$(basename "$elf" .elf)
  ocloc disasm -file "$elf" -dump "${name}_dump" -device "$DEVICE"
done

Step 4: Identify the target kernel

ASM files are at <name>_dump/.text._ZTSxxxx.asm. Demangle to find yours:

bash

for f in *_dump/.text._ZTS*.asm; do
  mangled=$(basename "$f" .asm | sed 's/^\.text\.//')
  echo "$f  →  $(c++filt "$mangled")"
done

Match the demangled name to the kernel you are analyzing.

Files

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

Open the folder on GitHubat commit a033aa5

Compare with similar skills

Extract Asm Syclkernel Aot 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 Syclkernel Aot compared with similar skills
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Extract Asm Syclkernel Aot this skillintel/torch-xpu-ops	115	—	~623	Automated safety check: Pass	Apache-2.0	today
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Fory Releaseapache/fory	4.6k	—	~2.9k	Automated safety check: Pass	Apache-2.0	yesterday
ONNX Runtime Shape Inference Safety Auditmicrosoft/onnxruntime	22k	—	~3.3k	Automated safety check: Pass	MIT	today
Code Audit3stoneBrother/code-audit	893	1 repos	~2.7k	Automated safety check: Pass	None	7 mo ago
Qt C++ Code Reviewx-tools-author/x-tools	1.1k	2 repos	~4.3k	Automated safety check: Pass	BSD-3-Clause	5 days ago

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Works with

Questions about Extract Asm Syclkernel Aot

What does Extract Asm Syclkernel Aot do?

Extract GPU ISA from AOT-compiled SYCL binaries using NEO driver runtime dump. Extract Asm Syclkernel Aot is an agent skill from intel/torch-xpu-ops, published by the product's own GitHub organization. Extract GPU ISA from AOT-compiled SYCL binaries using NEO driver runtime dump.

When should I use Extract Asm Syclkernel Aot?

Extract Asm Syclkernel Aot fits situations like: the kernel is a SYCL symbol (ZTS...) from an AOT binary such as libtorchxpu.so; any DPC++ binary compiled with -fsycl-targets=spir64gen -Xs -device <gpu.

How do I install Extract Asm Syclkernel Aot in Claude Code?

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

How do I install Extract Asm Syclkernel Aot in Codex?

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

Can I use Extract Asm Syclkernel Aot 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-syclkernel-aot -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-syclkernel-aot, .gemini/skills/extract-asm-syclkernel-aot, .github/skills/extract-asm-syclkernel-aot and .opencode/skills/extract-asm-syclkernel-aot in your project.

What does Extract Asm Syclkernel Aot need to run?

SKILL.md names no scripts, command-line tools or credentials: Extract Asm Syclkernel Aot is instructions for the agent only.

Does Extract Asm Syclkernel Aot 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 Syclkernel Aot 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 Syclkernel Aot use?

Extract Asm Syclkernel Aot 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 Syclkernel Aot use?

About 623 tokens (SKILL.md is roughly 2.5k 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 Syclkernel Aot?

Skills that share tags, products or a category with Extract Asm Syclkernel Aot: Paddle Build (PaddlePaddle/Paddle, 24k stars), Fory Release (apache/fory, 4.6k stars), ONNX Runtime Shape Inference Safety Audit (microsoft/onnxruntime, 22k stars) and Code Audit (3stoneBrother/code-audit, 893 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Extract Asm Syclkernel Aot?

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 Syclkernel Aot

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Extract ASM from AOT-Compiled SYCL Binaries

Key facts

When to use

When NOT to use

Steps

Step 1: Verify tools

Step 2: Dump zebin ELFs via NEO driver

Step 3: Disassemble

Step 4: Identify the target kernel

Files

Compare with similar skills

Similar skills

More from intel/torch-xpu-ops

Related

Questions about Extract Asm Syclkernel Aot