Ir Debugging
facebookexperimental/triton
Debug Triton compilation by dumping IR at each stage (TTIR, TTGIR, LLVM, PTX).
Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming).
Install Tilelang Developer
$ npx skills add yzlnew/infra-skills --skill tilelang-developer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yzlnew/infra-skills tilelang-developer --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/yzlnew/infra-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tilelang-developer .claude/skills/tilelang-developer && 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-developer" agent skill from https://github.com/yzlnew/infra-skills/tree/main/tilelang-developer into .claude/skills/tilelang-developer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-developer", 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/yzlnew/infra-skills/tree/main/tilelang-developerType 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 yzlnew/infra-skills --skill tilelang-developer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yzlnew/infra-skills tilelang-developer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yzlnew/infra-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tilelang-developer .agents/skills/tilelang-developer && 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-developer" agent skill from https://github.com/yzlnew/infra-skills/tree/main/tilelang-developer into .agents/skills/tilelang-developer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-developer", 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 yzlnew/infra-skills --skill tilelang-developer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yzlnew/infra-skills tilelang-developer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yzlnew/infra-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tilelang-developer .cursor/skills/tilelang-developer && 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-developer" agent skill from https://github.com/yzlnew/infra-skills/tree/main/tilelang-developer into .cursor/skills/tilelang-developer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-developer", 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/yzlnew/infra-skills.git --path tilelang-developer--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 yzlnew/infra-skills --skill tilelang-developer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yzlnew/infra-skills tilelang-developer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yzlnew/infra-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tilelang-developer .gemini/skills/tilelang-developer && 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-developer" agent skill from https://github.com/yzlnew/infra-skills/tree/main/tilelang-developer into .gemini/skills/tilelang-developer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-developer", 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 yzlnew/infra-skills tilelang-developerInstalls 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 yzlnew/infra-skills --skill tilelang-developer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yzlnew/infra-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/tilelang-developer .github/skills/tilelang-developer && 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-developer" agent skill from https://github.com/yzlnew/infra-skills/tree/main/tilelang-developer into .github/skills/tilelang-developer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-developer", 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 yzlnew/infra-skills --skill tilelang-developer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yzlnew/infra-skills tilelang-developer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yzlnew/infra-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tilelang-developer .opencode/skills/tilelang-developer && 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-developer" agent skill from https://github.com/yzlnew/infra-skills/tree/main/tilelang-developer into .opencode/skills/tilelang-developer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tilelang-developer", 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
tilelang-developer- GitHub stars
- 149
- Token cost
- ~2.4k tokens
- SKILL.md length
- 728 words
- Files
- 4 (incl. references)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- None found
At a glance
Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming).
- Works in 6 steps: Analyze Requirements → Set Up Kernel Structure → Define Grid and Memory Hierarchy → …
- The user requests:
- SKILL.md covers When to Use This Skill, Kernel Development Workflow, Common Kernel Patterns and Reference Documentation, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tilelang Developer is an agent skill from yzlnew/infra-skills. Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming). Use when the user requests: (1) Writing custom GPU kernels for AI workloads (GEMM, Attention, MLA, etc.), (2) Optimizing existing TileLang code for NVIDIA, AMD, or Ascend hardware, (3) Implementing non-standard operators (like DeepSeek MLA, FlashAttention variants), (4) Debugging TileLang compilation or runtime errors, or (5) Cross-platform kernel development targeting multiple GPU vendors.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/API_REFERENCE.md`, `references/DEBUGGING.md` and `references/EXAMPLES.md`).
It sits in Development, covering Debugging and GPU and accelerator computing. It works with NVIDIA AI Platform, DeepSeek and Python. The repository describes itself as: A collection of specialized agent skills for AI infrastructure development, enabling Claude Code to write, optimize, and debug high-performance systems.
When your agent uses it
- The user requests:
- Writing custom GPU kernels for AI workloads (GEMM
- Optimizing existing TileLang code for NVIDIA
- Ascend hardware
Example prompts
- “/tilelang-developer”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Analyze Requirements
- Set Up Kernel Structure
- Define Grid and Memory Hierarchy
- Implement Computation Logic
- Validate and Test
- Optimize Performance
What it can do on your machine
Read from SKILL.md and the folder at commit f3a8d7d. 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 python).
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
Tilelang Developer loads about 2.4k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 132 tokens; SKILL.md has 728 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 728 words (~2,406 tokens).
“Write high-performance AI compute kernels using TileLang - a tile-based programming model that bridges the gap between CUDA's low-level control and high-level abstractions.”
- name
- tilelang-developer
Files
SKILL.md and 3 other files (references) in tilelang-developer of yzlnew/infra-skills.
- SKILL.md
- references/API_REFERENCE.md
- references/DEBUGGING.md
- references/EXAMPLES.md
Open the folder on GitHubat commit f3a8d7d
Compare with similar skills
Tilelang Developer 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 Developer this skillyzlnew/infra-skills | 149 | — | ~2.4k | Automated safety check: Pass | None | |
| Ir Debuggingfacebookexperimental/triton | 201 | — | ~644 | Automated safety check: Pass | MIT | |
| Cuda Debuggingmohitmishra786/low-level-dev-skills | 253 | — | ~1.5k | Automated safety check: Pass | MIT | |
| TensorRT-LLM InferenceOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Dstackdstackai/dstack | 2.3k | — | ~6.2k | Automated safety check: Warn | MPL-2.0 | |
| Triton SkillslowlyC/agent-gpu-skills | 169 | — | ~1.3k | Automated safety check: Pass | MIT |
Similar skills
- Official
Cuda Debugging
mohitmishra786/low-level-dev-skills
CUDA debugging skill for GPU program correctness. An agent skill from mohitmishra786/low-level-dev-skills.
TensorRT-LLM Inference
Orchestra-Research/AI-Research-SKILLs
Optimizes and serves LLMs on NVIDIA GPUs with TensorRT-LLM, covering quantization, in-flight batching, multi-GPU parallelism and the trtllm-serve command.
Dstack
dstackai/dstack
dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.
Triton Skill
slowlyC/agent-gpu-skills
Write, debug, and optimize Triton and Gluon GPU kernels from local upstream tutorials, production kernels, language definitions, and compiler source.
- Official
Hyperpod Version Checker
awslabs/agent-plugins
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)…
More from yzlnew/infra-skills
All 8 skills in this repoHf Architecture Tikz
yzlnew/infra-skills
Draw Sebastian-Raschka-gallery-style TikZ architecture diagrams for any HuggingFace decoder-only LLM, with per-block parameter formulas and concrete numbers.
Megatron Memory Estimator
yzlnew/infra-skills
Estimate GPU memory usage for Megatron-based MoE (Mixture of Experts) and dense models.
HTML Flowchart Anthropic
yzlnew/infra-skills
Create and revise pure HTML/CSS flowcharts using an Anthropic-inspired design language.
Openai Dotcom Viz
yzlnew/infra-skills
Build figures in OpenAI's blog / research / system-card "dotcom" visual style — both (a) bar charts (monochrome bars with a darker same-hue stroke, rounded corners, a black y-axis with outward ticks…
Slime User
yzlnew/infra-skills
Guide for using SLIME (LLM post-training framework for RL Scaling).
Material You Slides
yzlnew/infra-skills
Create presentation slides using Material You (Material Design 3) style.
Related
Works with
Categories
Questions about Tilelang Developer
What does Tilelang Developer do?
Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming). Tilelang Developer is an agent skill from yzlnew/infra-skills. Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming).
When should I use Tilelang Developer?
Tilelang Developer fits situations like: the user requests:; writing custom GPU kernels for AI workloads (GEMM; optimizing existing TileLang code for NVIDIA; ascend hardware.
How do I install Tilelang Developer in Claude Code?
Run `npx skills add yzlnew/infra-skills --skill tilelang-developer -a claude-code`. Or copy the skill folder (tilelang-developer in yzlnew/infra-skills) into .claude/skills/tilelang-developer in your project. Claude Code loads it when a task matches its description.
How do I install Tilelang Developer in Codex?
Run `npx skills add yzlnew/infra-skills --skill tilelang-developer -a codex`. Or copy the skill folder (tilelang-developer in yzlnew/infra-skills) into .agents/skills/tilelang-developer in your project. Codex loads it when a task matches its description.
Can I use Tilelang Developer 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 yzlnew/infra-skills --skill tilelang-developer -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-developer, .gemini/skills/tilelang-developer, .github/skills/tilelang-developer and .opencode/skills/tilelang-developer in your project.
What does Tilelang Developer need to run?
SKILL.md names no scripts, command-line tools or credentials: Tilelang Developer is instructions for the agent only. Our summary lists: Python 3.
Does Tilelang Developer 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 Tilelang Developer 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 Tilelang Developer use?
No licence was found for Tilelang Developer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Tilelang Developer use?
About 2.4k tokens (SKILL.md is roughly 9.6k 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 9k tokens, read only when the agent opens those files.
What are the alternatives to Tilelang Developer?
Skills that share tags, products or a category with Tilelang Developer: Ir Debugging (facebookexperimental/triton, 201 stars), Cuda Debugging (mohitmishra786/low-level-dev-skills, 253 stars), TensorRT-LLM Inference (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Dstack (dstackai/dstack, 2.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tilelang Developer?
yzlnew (a GitHub user) maintains it in yzlnew/infra-skills, which has 149 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on July 9, 2026.
Source: yzlnew/infra-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.