Cuda Cpp Kernel
vipshop/cache-dit
A skill your agent uses when writing, debugging, porting, reviewing, or optimizing CUDA C++ or PTX kernels; investigating CUDA Runtime or Driver API behavior; profiling kernels with Nsight Systems…
Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches.
Install Pt2 Bug Basher
$ npx skills add pytorch/pytorch --skill pt2-bug-basher -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install pytorch/pytorch pt2-bug-basher --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/pytorch/pytorch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/pt2-bug-basher .claude/skills/pt2-bug-basher && 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 "pt2-bug-basher" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/pt2-bug-basher into .claude/skills/pt2-bug-basher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pt2-bug-basher", 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/pytorch/pytorch/tree/main/.agents/skills/pt2-bug-basherType 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 pytorch/pytorch --skill pt2-bug-basher -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install pytorch/pytorch pt2-bug-basher --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/pt2-bug-basher .agents/skills/pt2-bug-basher && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pt2-bug-basher" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/pt2-bug-basher into .agents/skills/pt2-bug-basher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pt2-bug-basher", 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 pytorch/pytorch --skill pt2-bug-basher -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install pytorch/pytorch pt2-bug-basher --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/pt2-bug-basher .cursor/skills/pt2-bug-basher && 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 "pt2-bug-basher" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/pt2-bug-basher into .cursor/skills/pt2-bug-basher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pt2-bug-basher", 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/pytorch/pytorch.git --path .agents/skills/pt2-bug-basher--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 pytorch/pytorch --skill pt2-bug-basher -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install pytorch/pytorch pt2-bug-basher --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/pt2-bug-basher .gemini/skills/pt2-bug-basher && 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 "pt2-bug-basher" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/pt2-bug-basher into .gemini/skills/pt2-bug-basher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pt2-bug-basher", 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 pytorch/pytorch pt2-bug-basherInstalls 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 pytorch/pytorch --skill pt2-bug-basher -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/pt2-bug-basher .github/skills/pt2-bug-basher && 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 "pt2-bug-basher" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/pt2-bug-basher into .github/skills/pt2-bug-basher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pt2-bug-basher", 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 pytorch/pytorch --skill pt2-bug-basher -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install pytorch/pytorch pt2-bug-basher --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/pytorch/pytorch.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/pt2-bug-basher .opencode/skills/pt2-bug-basher && 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 "pt2-bug-basher" agent skill from https://github.com/pytorch/pytorch/tree/main/.agents/skills/pt2-bug-basher into .opencode/skills/pt2-bug-basher/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pt2-bug-basher", 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
pt2-bug-basher- GitHub stars
- 104k
- Token cost
- ~3.5k tokens
- SKILL.md length
- 1,427 words
- Files
- 1
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches.
- Works in 12 steps: Environment check -- Ask the user which… → Reproduce -- Get a consistent… → Minimize -- Reduce the repro to the… → …
- Encountering torch.compile errors
- SKILL.md covers Workflow Summary, Investigation Strategy, Gathering Information and Error Triage, plus 3 more sections
- Calls python and pytest
What it does
Pt2 Bug Basher is an agent skill from pytorch/pytorch. Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches. Use when encountering torch.compile errors, BackendCompilerFailed exceptions, recompilation issues, Triton kernel failures, FX graph problems, or when the user mentions debugging PT2, Dynamo, Inductor, or compiled model issues.
Its SKILL.md is about 3.5k 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 Deep learning, GPU and accelerator computing and Project scaffolding. It works with PyTorch. The repository describes itself as: Tensors and Dynamic neural networks in Python with strong GPU acceleration.
When your agent uses it
- Encountering torch.compile errors
- BackendCompilerFailed exceptions
- Recompilation issues
- Triton kernel failures
Example prompts
- “/pt2-bug-basher”
Requirements
- Python 3
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- Environment check -- Ask the user which conda environment to use. Verify it is active by checking $CONDA_DEFAULT_ENV. Then run python -c…
- Reproduce -- Get a consistent reproduction of the failure
- Minimize -- Reduce the repro to the smallest possible standalone case. Strip away unrelated model logic, use minimal tensor shapes, and…
- Add a unit test -- Do this BEFORE diving into code search or root cause investigation. Add a failing test to the codebase that captures…
- Validate on main -- Use EnterWorktree to create a worktree checked out at main. Copy the new test file into the worktree and run the test…
- Gather logs -- Run with appropriate TORCH_LOGS settings
- Classify -- Use the Error Triage table to identify the category
- Inspect artifacts -- Check FX graphs, IR, and generated code via TORCH_COMPILE_DEBUG=1
- Identify root cause -- Trace from the error back through the compilation pipeline
- Fix -- Apply the fix
- Verify -- Run the new unit test AND nearby related existing tests (e.g., if you changed how is_exporting works, also run the existing…
- Self-review -- Use the /pr-review skill to review your own changes before presenting them. Fix any issues it flags.
What it can do on your machine
Read from SKILL.md and the folder at commit 84af535. 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:
pythonpytest
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
Pt2 Bug Basher loads about 3.5k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 1,427 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,427 words (~3,507 tokens).
“Debug test failures and runtime errors in the PyTorch 2 compiler stack (Dynamo, Inductor, AOTAutograd, FX graphs).”
- name
- pt2-bug-basher
- disable-model-invocation
- true
Files
Just SKILL.md in .agents/skills/pt2-bug-basher of pytorch/pytorch.
Open the folder on GitHubat commit 84af535
Compare with similar skills
Pt2 Bug Basher 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 |
|---|---|---|---|---|---|---|
| Pt2 Bug Basher this skillpytorch/pytorch | 104k | — | ~3.5k | Automated safety check: Pass | Custom licence | |
| Cuda Cpp Kernelvipshop/cache-dit | 1.3k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Qualcomm QNN Backend Developmentpytorch/executorch | 5.1k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| The Art of Debuggingstas00/the-art-of-debugging | 1.7k | — | ~6.1k | Automated safety check: Notes | CC-BY-SA-4.0 | |
| Liger Kernel Devlinkedin/Liger-Kernel | 6.6k | — | ~799 | Automated safety check: Pass | BSD-2-Clause | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Pt2 Bug Basher
What does Pt2 Bug Basher do?
Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches. Pt2 Bug Basher is an agent skill from pytorch/pytorch. Debug PyTorch 2 compiler stack failures including Dynamo graph breaks, Inductor codegen errors, AOTAutograd crashes, and accuracy mismatches.
When should I use Pt2 Bug Basher?
Pt2 Bug Basher fits situations like: encountering torch.compile errors; backendCompilerFailed exceptions; recompilation issues; triton kernel failures.
How do I install Pt2 Bug Basher in Claude Code?
Run `npx skills add pytorch/pytorch --skill pt2-bug-basher -a claude-code`. Or copy the skill folder (.agents/skills/pt2-bug-basher in pytorch/pytorch) into .claude/skills/pt2-bug-basher in your project. Claude Code loads it when a task matches its description.
How do I install Pt2 Bug Basher in Codex?
Run `npx skills add pytorch/pytorch --skill pt2-bug-basher -a codex`. Or copy the skill folder (.agents/skills/pt2-bug-basher in pytorch/pytorch) into .agents/skills/pt2-bug-basher in your project. Codex loads it when a task matches its description.
Can I use Pt2 Bug Basher 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 pytorch/pytorch --skill pt2-bug-basher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pt2-bug-basher, .gemini/skills/pt2-bug-basher, .github/skills/pt2-bug-basher and .opencode/skills/pt2-bug-basher in your project.
What does Pt2 Bug Basher need to run?
Going by SKILL.md and its folder, Pt2 Bug Basher needs the command-line tools its instructions call (python and pytest). Our summary lists: Python 3.
Does Pt2 Bug Basher 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 Pt2 Bug Basher 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 Pt2 Bug Basher use?
Pt2 Bug Basher has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Pt2 Bug Basher use?
About 3.5k tokens (SKILL.md is roughly 14k 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 Pt2 Bug Basher?
Skills that share tags, products or a category with Pt2 Bug Basher: Cuda Cpp Kernel (vipshop/cache-dit, 1.3k stars), Qualcomm QNN Backend Development (pytorch/executorch, 5.1k stars), The Art of Debugging (stas00/the-art-of-debugging, 1.7k stars) and Liger Kernel Dev (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 Pt2 Bug Basher?
pytorch (a GitHub organization) maintains it in pytorch/pytorch, which has 103,819 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 7, 2026.
Source: pytorch/pytorch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.