Nemo Mbridge Perf Moe Optimization Workflow
NVIDIA/skills
Evidence-gated workflow for MoE performance optimization in Megatron Bridge.
Write, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source.
$ npx skills add slowlyC/agent-gpu-skills --skill tilelang-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install slowlyC/agent-gpu-skills tilelang-skill --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/slowlyC/agent-gpu-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tilelang-skill .claude/skills/tilelang-skill && 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 "tilelang-skill" agent skill from https://github.com/slowlyC/agent-gpu-skills/tree/main/skills/tilelang-skill into .claude/skills/tilelang-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-skill", 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/slowlyC/agent-gpu-skills/tree/main/skills/tilelang-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 slowlyC/agent-gpu-skills --skill tilelang-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install slowlyC/agent-gpu-skills tilelang-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/slowlyC/agent-gpu-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tilelang-skill .agents/skills/tilelang-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tilelang-skill" agent skill from https://github.com/slowlyC/agent-gpu-skills/tree/main/skills/tilelang-skill into .agents/skills/tilelang-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-skill", 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 slowlyC/agent-gpu-skills --skill tilelang-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install slowlyC/agent-gpu-skills tilelang-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/slowlyC/agent-gpu-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tilelang-skill .cursor/skills/tilelang-skill && 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 "tilelang-skill" agent skill from https://github.com/slowlyC/agent-gpu-skills/tree/main/skills/tilelang-skill into .cursor/skills/tilelang-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-skill", 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/slowlyC/agent-gpu-skills.git --path skills/tilelang-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 slowlyC/agent-gpu-skills --skill tilelang-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install slowlyC/agent-gpu-skills tilelang-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/slowlyC/agent-gpu-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tilelang-skill .gemini/skills/tilelang-skill && 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 "tilelang-skill" agent skill from https://github.com/slowlyC/agent-gpu-skills/tree/main/skills/tilelang-skill into .gemini/skills/tilelang-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-skill", 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 slowlyC/agent-gpu-skills tilelang-skillInstalls 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 slowlyC/agent-gpu-skills --skill tilelang-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/slowlyC/agent-gpu-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tilelang-skill .github/skills/tilelang-skill && 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 "tilelang-skill" agent skill from https://github.com/slowlyC/agent-gpu-skills/tree/main/skills/tilelang-skill into .github/skills/tilelang-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-skill", 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 slowlyC/agent-gpu-skills --skill tilelang-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install slowlyC/agent-gpu-skills tilelang-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/slowlyC/agent-gpu-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tilelang-skill .opencode/skills/tilelang-skill && 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 "tilelang-skill" agent skill from https://github.com/slowlyC/agent-gpu-skills/tree/main/skills/tilelang-skill into .opencode/skills/tilelang-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-skill", 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.
tilelang-skillWrite, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source.
Tilelang Skill is an agent skill from slowlyC/agent-gpu-skills. Write, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source. Use when the task explicitly involves tilelang, tilelang.language, @tilelang.jit, @T.primfunc, T.Kernel, T.copy, T.gemm, TileLang Profiler, Carver, TileLang passes, or TileLang CUDA, ROCm, Metal, and CPU backends. Use triton-skill for Triton or Gluon, cutlass-skill for direct CUTLASS, CuTe, or CuTeDSL work, and cuda-skill for raw CUDA, PTX, NVIDIA architecture, or…
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `quick-reference.md`).
It sits in Development, covering Performance optimization. It works with CUDA and NVIDIA AI Platform. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ae02d07. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
rgbashpython3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tilelang Skill loads about 1.8k tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 590 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.
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.
The full file from slowlyC/agent-gpu-skills at commit ae02d07, republished under its MIT licence (© slowlyC). 590 words, ~1,815 tokens.
.claude/skills/tilelang-skill/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use the local TileLang checkout as the primary source for APIs, implementation patterns, and repository-specific build instructions. Prefer current source and examples over remembered signatures because the DSL, compiler, and backend integrations evolve quickly.
Resolve the directory containing this SKILL.md, then use its repos/tilelang/ child. The installer links that path to agent-gpu-skills/third_party/tilelang/ or to the checkout supplied through TILELANG_REPO.
In commands below, replace TILELANG_REPO with the resolved absolute path:
TILELANG_REPO=/absolute/path/to/tilelang-skill/repos/tilelangIf the checkout is missing, run this from the agent-gpu-skills repository and reinstall the Skill:
bash update-repos.sh tilelang
bash install.sh --skill tilelang-skillThe default checkout is a source-reference snapshot. It does not initialize TileLang's nested third-party submodules. Use a complete development checkout through TILELANG_REPO when building TileLang or changing its compiler.
| Task | Start here |
|---|---|
| Language syntax and operations | tilelang/language/ |
| JIT wrappers, adapters, and kernel objects | tilelang/jit/ |
| Lowering and semantic checks | tilelang/engine/ |
| Autotuning | tilelang/autotuner/ |
| Benchmarking and profiler helpers | tilelang/profiler/ |
| Layout inference and representations | tilelang/layout/, tilelang/analysis/ |
| Schedule recommendation and Carver | tilelang/carver/ |
| CUDA, ROCm, Metal, and CPU Python backends | tilelang/cuda/, tilelang/rocm/, tilelang/metal/, tilelang/cpu/ |
| Compiler transforms and target code generation | src/ |
| Current kernels and end-to-end workloads | examples/ |
| Language, compiler, backend, and regression tests | testing/python/ |
| Repository-specific build and test commands | .agents/skills/tilelang-build/SKILL.md |
Read quick-reference.md when mapping an operation, backend, or compiler question to a concrete path in the validated checkout.
Discover current documentation and examples before relying on a remembered filename:
find "$TILELANG_REPO/docs" -type f -name '*.md' | sort
find "$TILELANG_REPO/examples" -type f -name '*.py' | sortSearch kernel patterns and their definitions together:
rg -n '@tilelang\.jit|@T\.prim_func|T\.Kernel|T\.Pipelined' \
"$TILELANG_REPO/examples"
rg -n 'T\.copy|T\.gemm|T\.alloc_shared|T\.alloc_fragment' \
"$TILELANG_REPO/examples"
rg -n '^def (copy|gemm|alloc_shared|alloc_fragment)|class Kernel' \
"$TILELANG_REPO/tilelang/language"Trace JIT, lowering, and target selection:
rg -n 'def (compile|lower)|class .*Kernel|class .*Adapter' \
"$TILELANG_REPO/tilelang/jit" \
"$TILELANG_REPO/tilelang/engine"
rg -n 'target|backend|codegen' \
"$TILELANG_REPO/tilelang/backend" \
"$TILELANG_REPO/tilelang/cuda" \
"$TILELANG_REPO/tilelang/rocm" \
"$TILELANG_REPO/tilelang/metal" \
"$TILELANG_REPO/tilelang/cpu"Trace compiler transformations and generated source:
rg -n 'Pass|Lower|Legalize|Layout' \
"$TILELANG_REPO/src/transform" \
"$TILELANG_REPO/tilelang/engine"
rg -n 'CodeGen|codegen|Build' \
"$TILELANG_REPO/src/cuda" \
"$TILELANG_REPO/src/rocm" \
"$TILELANG_REPO/src/metal" \
"$TILELANG_REPO/src/cpu"Search tuning, profiling, and nearby tests:
rg -n 'autotune|Profiler|do_bench|get_profiler' \
"$TILELANG_REPO/examples" \
"$TILELANG_REPO/tilelang/autotuner" \
"$TILELANG_REPO/tilelang/profiler"
rg -n 'copy|gemm|pipelined|layout' \
"$TILELANG_REPO/testing/python/language" \
"$TILELANG_REPO/testing/python"Keep these layers separate during diagnosis:
TileLang Python kernel and compile-time parameters
→ TileLang IR, semantic checks, and compiler transforms
→ backend source generation and native compilation
→ runtime dispatch on the selected targetA TileLang source construct does not prove which hardware instruction or memory path the generated kernel uses. Inspect get_kernel_source(), compiler traces, or profile data when that distinction matters. Add cuda-skill for PTX semantics, compute capability, Nsight, or Compute Sanitizer details.
TileLang contains a CuTeDSL integration under tilelang/contrib/cutedsl/. Use this Skill when tracing how TileLang selects or calls that integration. Use cutlass-skill when the task is about CuTeDSL APIs or implementations themselves.
For correctness work:
For performance work:
Before building, installing, or testing TileLang itself, read the upstream repository instructions:
.agents/skills/tilelang-build/SKILL.mdThose instructions are versioned with the checkout and are authoritative for the current build commands. Most compiler and kernel tests require an appropriate device. Verify the active import path, build directory, target backend, and GPU before interpreting a result.
From the agent-gpu-skills repository:
bash update-repos.sh tilelang
python3 scripts/validate_repo.py --require-sourcesThe checkout follows TileLang main, while third_party/UPSTREAMS.toml records the commit last accepted by this Skill. Review source-map drift before updating that record.
© slowlyC, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in skills/tilelang-skill of slowlyC/agent-gpu-skills.
Open the folder on GitHubat commit ae02d07
Tilelang Skill 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 |
|---|---|---|---|---|---|---|
| Tilelang Skill this skillslowlyC/agent-gpu-skills | 169 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Nemo Mbridge Perf Moe Optimization WorkflowNVIDIA/skills | 3.5k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| LLM Torch Profiler Trace AnalysisBBuf/AI-Infra-Auto-Driven-SKILLS | 925 | — | ~2.8k | Automated safety check: Pass | None | |
| Cuda Profilingmohitmishra786/low-level-dev-skills | 253 | — | ~1.6k | Automated safety check: Notes | MIT | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 |
NVIDIA/skills
Evidence-gated workflow for MoE performance optimization in Megatron Bridge.
BBuf/AI-Infra-Auto-Driven-SKILLS
Analyzes Torch Profiler traces from SGLang, vLLM and TensorRT-LLM servers into kernel attribution, overlap and fusion tables.
mohitmishra786/low-level-dev-skills
CUDA profiling skill for NVIDIA GPU performance analysis. An agent skill from mohitmishra786/low-level-dev-skills.
graphsignal/graphsignal
Profile AI inference workloads (vLLM, SGLang, TensorRT-LLM, PyTorch, any GPU application) with the Graphsignal profiler and read the results from its local /signals JSON endpoint.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
stas00/the-art-of-debugging
Condensed debugging method and tool recipes for Unix, Python and PyTorch programs: crashes, hangs, segfaults, wrong output, CUDA OOM, NaN values and slowness.
slowlyC/agent-gpu-skills
Write, debug, and optimize CUTLASS, CuTe, and CuTeDSL GPU kernels from local upstream source, examples, and headers.
slowlyC/agent-gpu-skills
Write, debug, and optimize Triton and Gluon GPU kernels from local upstream tutorials, production kernels, language definitions, and compiler source.
slowlyC/agent-gpu-skills
Query current NVIDIA CUDA, PTX ISA, Runtime API, Driver API, Programming Guide, Best Practices, Nsight Compute, and Nsight Systems references.
Works with
Categories
Write, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source. Tilelang Skill is an agent skill from slowlyC/agent-gpu-skills. Write, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source.
Tilelang Skill fits situations like: the task explicitly involves tilelang; tilelang.language; tileLang Profiler; tileLang passes.
Run `npx skills add slowlyC/agent-gpu-skills --skill tilelang-skill -a claude-code`. Or copy the skill folder (skills/tilelang-skill in slowlyC/agent-gpu-skills) into .claude/skills/tilelang-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add slowlyC/agent-gpu-skills --skill tilelang-skill -a codex`. Or copy the skill folder (skills/tilelang-skill in slowlyC/agent-gpu-skills) into .agents/skills/tilelang-skill in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add slowlyC/agent-gpu-skills --skill tilelang-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tilelang-skill, .gemini/skills/tilelang-skill, .github/skills/tilelang-skill and .opencode/skills/tilelang-skill in your project.
Going by SKILL.md and its folder, Tilelang Skill needs the command-line tools its instructions call (rg, bash and python3). Our summary lists: Python 3.
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.
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.
Tilelang Skill is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tilelang Skill: Nemo Mbridge Perf Moe Optimization Workflow (NVIDIA/skills, 3.5k stars), LLM Torch Profiler Trace Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 925 stars), Cuda Profiling (mohitmishra786/low-level-dev-skills, 253 stars) and Graphsignal (graphsignal/graphsignal, 257 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
slowlyC (a GitHub user) maintains it in slowlyC/agent-gpu-skills, which has 169 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on August 8, 2026.
Source: slowlyC/agent-gpu-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.