LLM Torch Profiler Trace Analysis
BBuf/AI-Infra-Auto-Driven-SKILLS
Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables.
Draft, debug, and measure CUDA kernels and host launch workflows.
Install Cuda
$ npx skills add sablin39/tilelang-cuda-skills --skill cuda -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sablin39/tilelang-cuda-skills cuda --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/sablin39/tilelang-cuda-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cuda_skill .claude/skills/cuda && 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 "cuda" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/cuda_skill into .claude/skills/cuda/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuda", 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/sablin39/tilelang-cuda-skills/tree/main/skills/cuda_skillType 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 sablin39/tilelang-cuda-skills --skill cuda -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sablin39/tilelang-cuda-skills cuda --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sablin39/tilelang-cuda-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cuda_skill .agents/skills/cuda && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cuda" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/cuda_skill into .agents/skills/cuda/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuda", 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 sablin39/tilelang-cuda-skills --skill cuda -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sablin39/tilelang-cuda-skills cuda --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sablin39/tilelang-cuda-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cuda_skill .cursor/skills/cuda && 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 "cuda" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/cuda_skill into .cursor/skills/cuda/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuda", 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/sablin39/tilelang-cuda-skills.git --path skills/cuda_skill--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 sablin39/tilelang-cuda-skills --skill cuda -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sablin39/tilelang-cuda-skills cuda --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sablin39/tilelang-cuda-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cuda_skill .gemini/skills/cuda && 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 "cuda" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/cuda_skill into .gemini/skills/cuda/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuda", 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 sablin39/tilelang-cuda-skills cudaInstalls 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 sablin39/tilelang-cuda-skills --skill cuda -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sablin39/tilelang-cuda-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cuda_skill .github/skills/cuda && 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 "cuda" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/cuda_skill into .github/skills/cuda/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuda", 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 sablin39/tilelang-cuda-skills --skill cuda -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sablin39/tilelang-cuda-skills cuda --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sablin39/tilelang-cuda-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cuda_skill .opencode/skills/cuda && 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 "cuda" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/cuda_skill into .opencode/skills/cuda/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cuda", 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
cuda- GitHub stars
- 144
- Token cost
- ~990 tokens
- SKILL.md length
- 369 words
- Files
- 665 (incl. references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- None found
At a glance
Draft, debug, and measure CUDA kernels and host launch workflows.
- CUDA compilation
- SKILL.md covers Draft and validate, Debug the failing layer, Measure before and after a… and Completion evidence
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Launch contracts
What it does
Cuda is an agent skill from sablin39/tilelang-cuda-skills. Draft, debug, and measure CUDA kernels and host launch workflows. Use for CUDA compilation, launch contracts, compute-sanitizer, Nsight timelines, focused kernel profiling, and generated-code inspection.
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 667 other files, including reference files (for example `references/cuda-driver-docs/INDEX.md`, `references/cuda-driver-docs/data-structures/structcu__dev__sm__resource__group__params.md` and `references/cuda-driver-docs/data-structures/structcuaccesspolicywindow__v1.md`).
It sits in AI & LLM Engineering, covering GPU and accelerator computing. It works with CUDA. The repository describes itself as: Skills for writing tilelang and debugging with CUDA toolkits.
When your agent uses it
- CUDA compilation
- Launch contracts
- Compute-sanitizer
- Nsight timelines
Example prompts
- “/cuda”
What it can do on your machine
Read from SKILL.md and the folder at commit 502a514. 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
Cuda loads about 990 tokens when it runs, and up to ~803k if it reads all its reference files. Until then it costs about 52 tokens; SKILL.md has 369 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 369 words (~990 tokens).
“Record the active toolchain and the operation's shapes, dtypes, strides, ownership, stream, and output initialization contract. Choose the compilation target for the deployment environment. Start with a reference and a small reproducer that checks results and CUDA API errors.”
- name
- cuda
Files
SKILL.md and 664 other files (references) in skills/cuda_skill of sablin39/tilelang-cuda-skills.
- SKILL.md
- references/cuda-driver-docs/INDEX.md
- references/cuda-driver-docs/data-structures/structcu__dev__sm__resource__group__params.md
- references/cuda-driver-docs/data-structures/structcuaccesspolicywindow__v1.md
- references/cuda-driver-docs/data-structures/structcuarraymapinfo__v1.md
- references/cuda-driver-docs/data-structures/structcuasyncnotificationinfo.md
- references/cuda-driver-docs/data-structures/structcucheckpointcheckpointargs.md
- references/cuda-driver-docs/data-structures/structcucheckpointgpupair.md
- references/cuda-driver-docs/data-structures/structcucheckpointlockargs.md
- references/cuda-driver-docs/data-structures/structcucheckpointrestoreargs.md
- references/cuda-driver-docs/data-structures/structcucheckpointunlockargs.md
- references/cuda-driver-docs/data-structures/structcuctxcigparam.md
- references/cuda-driver-docs/data-structures/structcuctxcreateparams.md
- references/cuda-driver-docs/data-structures/structcuda__array3d__descriptor__v2.md
- references/cuda-driver-docs/data-structures/structcuda__array__descriptor__v2.md
- references/cuda-driver-docs/data-structures/structcuda__array__memory__requirements__v1.md
- references/cuda-driver-docs/data-structures/structcuda__array__sparse__properties__v1.md
- references/cuda-driver-docs/data-structures/structcuda__batch__mem__op__node__params__v1.md
- … and 647 more
Open the folder on GitHubat commit 502a514
Compare with similar skills
Cuda 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 |
|---|---|---|---|---|---|---|
| Cuda this skillsablin39/tilelang-cuda-skills | 144 | — | ~990 | Automated safety check: Pass | None | |
| LLM Torch Profiler Trace AnalysisBBuf/AI-Infra-Auto-Driven-SKILLS | 900 | — | ~2.8k | Automated safety check: Pass | None | |
| Cuda Cpp Kernelvipshop/cache-dit | 1.3k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| ONNX Runtime CUDA Attention Patternsmicrosoft/onnxruntime | 22k | — | ~6.5k | Automated safety check: Pass | MIT | |
| Tma Illegal Instructionfacebookexperimental/triton | 201 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Doca Gpunetio Ib Write LatNVIDIA/skills | 3.5k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 |
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Write human-facing TileLang design documents for proposed or completed kernel implementations.
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Related
Works with
Categories
Questions about Cuda
What does Cuda do?
Draft, debug, and measure CUDA kernels and host launch workflows. Cuda is an agent skill from sablin39/tilelang-cuda-skills. Draft, debug, and measure CUDA kernels and host launch workflows.
When should I use Cuda?
Cuda fits situations like: CUDA compilation; launch contracts; compute-sanitizer; nsight timelines.
How do I install Cuda in Claude Code?
Run `npx skills add sablin39/tilelang-cuda-skills --skill cuda -a claude-code`. Or copy the skill folder (skills/cuda_skill in sablin39/tilelang-cuda-skills) into .claude/skills/cuda in your project. Claude Code loads it when a task matches its description.
How do I install Cuda in Codex?
Run `npx skills add sablin39/tilelang-cuda-skills --skill cuda -a codex`. Or copy the skill folder (skills/cuda_skill in sablin39/tilelang-cuda-skills) into .agents/skills/cuda in your project. Codex loads it when a task matches its description.
Can I use Cuda 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 sablin39/tilelang-cuda-skills --skill cuda -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cuda, .gemini/skills/cuda, .github/skills/cuda and .opencode/skills/cuda in your project.
What does Cuda need to run?
SKILL.md names no scripts, command-line tools or credentials: Cuda is instructions for the agent only.
Does Cuda 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 Cuda 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 Cuda use?
No licence was found for Cuda or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Cuda use?
About 990 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 802k tokens, read only when the agent opens those files.
What are the alternatives to Cuda?
Skills that share tags, products or a category with Cuda: LLM Torch Profiler Trace Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 900 stars), Cuda Cpp Kernel (vipshop/cache-dit, 1.3k stars), ONNX Runtime CUDA Attention Patterns (microsoft/onnxruntime, 22k stars) and Tma Illegal Instruction (facebookexperimental/triton, 201 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cuda?
sablin39 (a GitHub user) maintains it in sablin39/tilelang-cuda-skills, which has 144 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 15, 2026.
Source: sablin39/tilelang-cuda-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.