Tilelang Developer
yzlnew/infra-skills
Write, optimize, and debug high-performance AI compute kernels using TileLang (a Python DSL for GPU programming).
Debug Triton compilation by dumping IR at each stage (TTIR, TTGIR, LLVM, PTX).
Install Ir Debugging
$ npx skills add facebookexperimental/triton --skill ir-debugging -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install facebookexperimental/triton ir-debugging --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/facebookexperimental/triton.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ir-debugging .claude/skills/ir-debugging && 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 "ir-debugging" agent skill from https://github.com/facebookexperimental/triton/tree/main/.claude/skills/ir-debugging into .claude/skills/ir-debugging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ir-debugging", 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/facebookexperimental/triton/tree/main/.claude/skills/ir-debuggingType 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 facebookexperimental/triton --skill ir-debugging -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install facebookexperimental/triton ir-debugging --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facebookexperimental/triton.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ir-debugging .agents/skills/ir-debugging && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ir-debugging" agent skill from https://github.com/facebookexperimental/triton/tree/main/.claude/skills/ir-debugging into .agents/skills/ir-debugging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ir-debugging", 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 facebookexperimental/triton --skill ir-debugging -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install facebookexperimental/triton ir-debugging --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facebookexperimental/triton.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ir-debugging .cursor/skills/ir-debugging && 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 "ir-debugging" agent skill from https://github.com/facebookexperimental/triton/tree/main/.claude/skills/ir-debugging into .cursor/skills/ir-debugging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ir-debugging", 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/facebookexperimental/triton.git --path .claude/skills/ir-debugging--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 facebookexperimental/triton --skill ir-debugging -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install facebookexperimental/triton ir-debugging --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facebookexperimental/triton.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ir-debugging .gemini/skills/ir-debugging && 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 "ir-debugging" agent skill from https://github.com/facebookexperimental/triton/tree/main/.claude/skills/ir-debugging into .gemini/skills/ir-debugging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ir-debugging", 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 facebookexperimental/triton ir-debuggingInstalls 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 facebookexperimental/triton --skill ir-debugging -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/facebookexperimental/triton.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ir-debugging .github/skills/ir-debugging && 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 "ir-debugging" agent skill from https://github.com/facebookexperimental/triton/tree/main/.claude/skills/ir-debugging into .github/skills/ir-debugging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ir-debugging", 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 facebookexperimental/triton --skill ir-debugging -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install facebookexperimental/triton ir-debugging --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facebookexperimental/triton.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ir-debugging .opencode/skills/ir-debugging && 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 "ir-debugging" agent skill from https://github.com/facebookexperimental/triton/tree/main/.claude/skills/ir-debugging into .opencode/skills/ir-debugging/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ir-debugging", 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
ir-debugging- GitHub stars
- 201
- Token cost
- ~644 tokens
- SKILL.md length
- 175 words
- Files
- 1
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- MIT
At a glance
Debug Triton compilation by dumping IR at each stage (TTIR, TTGIR, LLVM, PTX).
- Investigating compilation failures
- SKILL.md covers Environment variables, Decision tree: what are you…, Common combos and Reference files
- Calls python
- Kernel performance
What it does
Ir Debugging is an agent skill from facebookexperimental/triton, published by the product's own GitHub organization. Debug Triton compilation by dumping IR at each stage (TTIR, TTGIR, LLVM, PTX). Use when investigating compilation failures, kernel performance, register spills, or when user asks to inspect IR output. Covers TRITONKERNELDUMP, MLIRENABLEDUMP, LLVMIRENABLEDUMP, TRITONDUMPPTXASLOG, and related env vars.
Its SKILL.md is about 640 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 Development, covering GPU and accelerator computing and Debugging. It works with Python. The repository describes itself as: Github mirror of trition-lang/triton repo. The licence is MIT.
When your agent uses it
- Investigating compilation failures
- Kernel performance
- Register spills
- User asks to inspect IR output
Example prompts
- “/ir-debugging”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 612bd83. 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:
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
Ir Debugging loads about 644 tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 175 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
The full file from facebookexperimental/triton at commit 612bd83, republished under its MIT licence (© facebookexperimental). 175 words, ~644 tokens.
Download SKILL.mdSave it as
.claude/skills/ir-debugging/SKILL.md (or your agent's skills folder).- name
- ir-debugging
- description
- Debug Triton compilation by dumping IR at each stage (TTIR, TTGIR, LLVM, PTX). Use when investigating compilation failures, kernel performance, register spills, or when user asks to inspect IR output. Covers TRITON_KERNEL_DUMP, MLIR_ENABLE_DUMP, LLVM_IR_ENABLE_DUMP, TRITON_DUMP_PTXAS_LOG, and related env vars.
IR Debugging
Environment variables
| Env var | What it does |
|---|---|
TRITON_KERNEL_DUMP=1 | Dump IR at every compilation stage to ~/.triton/dump/ |
TRITON_PRINT_AUTOTUNING=1 | Use human-readable per-config subdirectories instead of hashes (combine with KERNEL_DUMP) |
TRITON_KERNEL_DUMP_BEST_CONFIG=1 | Dump IR only for the winning autotuned config (re-compiles with dumping, avoids noise) |
MLIR_ENABLE_DUMP=1 | Dump MLIR IR during pass execution (filter by kernel: MLIR_ENABLE_DUMP=_kernel) |
LLVM_IR_ENABLE_DUMP=1 | Dump LLVM IR (print-after-all) |
NVPTX_ENABLE_DUMP=1 | Dump NVPTX backend IR |
TRITON_DUMP_PTXAS_LOG=1 | Dump ptxas assembler logs (register usage, spills) |
TRITON_INTERPRET=1 | Run kernels in interpreter mode (no GPU needed) |
TRITON_ALWAYS_COMPILE=1 | Bypass cache, force recompilation |
TRITON_DUMP_TTGIR_TO_TLX=1 | Dump TTGIR back to TLX Python (reverse-engineer IR) |
Decision tree: what are you debugging?
- "Kernel produces wrong results"
→
TRITON_INTERPRET=1to run on CPU, orTRITON_KERNEL_DUMP=1to inspect IR at each stage - "Kernel is slow / register spills"
→
TRITON_DUMP_PTXAS_LOG=1to check register usage and spills - "Which autotuned config won and why?"
→
TRITON_KERNEL_DUMP_BEST_CONFIG=1 TRITON_PRINT_AUTOTUNING=1 - "Need to see MLIR passes"
→
MLIR_ENABLE_DUMP=1(optionally filter:MLIR_ENABLE_DUMP=_my_kernel) - "Need to see final PTX/LLVM"
→
LLVM_IR_ENABLE_DUMP=1and/orNVPTX_ENABLE_DUMP=1 - "Cached result is stale"
→
TRITON_ALWAYS_COMPILE=1to force recompilation
Common combos
# Full dump of best config with readable directory names
TRITON_KERNEL_DUMP_BEST_CONFIG=1 TRITON_PRINT_AUTOTUNING=1 python my_kernel.py
# Debug register pressure
TRITON_DUMP_PTXAS_LOG=1 TRITON_ALWAYS_COMPILE=1 python my_kernel.py
# Inspect MLIR passes for a specific kernel
MLIR_ENABLE_DUMP=_my_kernel TRITON_ALWAYS_COMPILE=1 python my_kernel.py
# Full IR pipeline dump
TRITON_KERNEL_DUMP=1 TRITON_ALWAYS_COMPILE=1 python my_kernel.pyReference files
- Full Python knobs:
python/triton/knobs.py - C++ env vars:
include/triton/Tools/Sys/GetEnv.hpp
© facebookexperimental, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/ir-debugging of facebookexperimental/triton.
Open the folder on GitHubat commit 612bd83
Compare with similar skills
Ir Debugging 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 |
|---|---|---|---|---|---|---|
| Ir Debugging this skillfacebookexperimental/triton | 201 | — | ~644 | Automated safety check: Pass | MIT | |
| Tilelang Developeryzlnew/infra-skills | 149 | — | ~2.4k | Automated safety check: Pass | None | |
| Debug Distributed Hangsgl-project/sglang | 37k | 2 repos | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| CUTLASS FMHA Incremental Rebuildmicrosoft/onnxruntime | 22k | — | ~1.3k | Automated safety check: Pass | MIT | |
| The Art of Debuggingstas00/the-art-of-debugging | 1.7k | — | ~6.1k | Automated safety check: Notes | CC-BY-SA-4.0 | |
| Cudatechnillogue/ptx-isa-markdown | 229 | — | ~2.5k | Automated safety check: Pass | None |
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The Art of Debugging
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.
Cuda
technillogue/ptx-isa-markdown
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Related
Works with
Categories
Questions about Ir Debugging
What does Ir Debugging do?
Debug Triton compilation by dumping IR at each stage (TTIR, TTGIR, LLVM, PTX). Ir Debugging is an agent skill from facebookexperimental/triton, published by the product's own GitHub organization. Debug Triton compilation by dumping IR at each stage (TTIR, TTGIR, LLVM, PTX).
When should I use Ir Debugging?
Ir Debugging fits situations like: investigating compilation failures; kernel performance; register spills; user asks to inspect IR output.
How do I install Ir Debugging in Claude Code?
Run `npx skills add facebookexperimental/triton --skill ir-debugging -a claude-code`. Or copy the skill folder (.claude/skills/ir-debugging in facebookexperimental/triton) into .claude/skills/ir-debugging in your project. Claude Code loads it when a task matches its description.
How do I install Ir Debugging in Codex?
Run `npx skills add facebookexperimental/triton --skill ir-debugging -a codex`. Or copy the skill folder (.claude/skills/ir-debugging in facebookexperimental/triton) into .agents/skills/ir-debugging in your project. Codex loads it when a task matches its description.
Can I use Ir Debugging 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 facebookexperimental/triton --skill ir-debugging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ir-debugging, .gemini/skills/ir-debugging, .github/skills/ir-debugging and .opencode/skills/ir-debugging in your project.
What does Ir Debugging need to run?
Going by SKILL.md and its folder, Ir Debugging needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Ir Debugging 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 Ir Debugging 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 Ir Debugging use?
Ir Debugging is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ir Debugging use?
About 644 tokens (SKILL.md is roughly 2.6k 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 Ir Debugging?
Skills that share tags, products or a category with Ir Debugging: Tilelang Developer (yzlnew/infra-skills, 149 stars), Debug Distributed Hang (sgl-project/sglang, 37k stars), CUTLASS FMHA Incremental Rebuild (microsoft/onnxruntime, 22k stars) and The Art of Debugging (stas00/the-art-of-debugging, 1.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ir Debugging?
facebookexperimental (a GitHub organization, an official publisher) maintains it in facebookexperimental/triton, which has 201 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 8, 2026.
Source: facebookexperimental/triton on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.