quark-torch-debug
Diagnose failed Quark Torch PTQ installation, execution, script generation, or export attempts.
Skill by amd
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/amd-quark-torch-debug-86c246
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/quark-torch-debug
What's inside
- Skill name
quark-torch-debug- Description
- Diagnose failed Quark Torch PTQ installation, execution, script generation, or export attempts. Use when the user reports a torch-side error, stack trace, invalid artifact, missing dependency, CUDA OOM, version mismatch, or unexpected PTQ results. Trigger for "Quark error", "PTQ failed", "quantization crashed", "CUDA out of memory", "import error", "model loading failed", "wrong results", any Python traceback mentioning quark.torch / torch._dynamo / transformers / accelerate. Not for onnxruntime tracebacks — use quark-onnx-debug.
- License
- MIT
- Instructions
- 3 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
Read and follow the instructions in `.claude/skills-impl/l1-atomic/torch/quark-torch-debug/SKILL.md`.
From amd/Quark, MIT.
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Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning.
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Inspect a target model and prepare metadata for Quark PTQ planning.
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Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run.
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Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation.
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quark-install
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Install or verify the AMD Quark package and its dependencies.
SkillAFreshness: A★ 186Claude Code +9 - 0.679score
quark-onnx-install
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Install or verify the correct ONNX Runtime build (and the `onnx` package) for a user's accelerator backend before Quark's ONNX-to-ONNX flow.
SkillAFreshness: A★ 186Claude Code +9 - 0.679score
quark-onnx-model-intake
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Inspect a target ONNX model and prepare metadata for Quark ONNX PTQ planning.
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quark-torch-debug
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Diagnose failed Quark installation, PTQ execution, script generation, or export attempts.
SkillAFreshness: A★ 186Claude Code +9 - 0.679score
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Build a Quark Torch LLM PTQ quantization plan from model analysis and user intent.
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Signals
- Stars
- 186
- Forks
- 36
- Open issues
- 3
- Last commit (this folder)
- Jul 9, 2026 (3 months ago)
- Last release
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/amd/Quark
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
quark-torch-debug skill. Agent Mart. https://agentmart.dev/skills/amd-quark-torch-debug-86c246 (last updated 2026-10-24)