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.
Measure TileLang kernel and workflow performance, choose benchmark or timeline tools, and compare implementations fairly.
Install Profiling Tilelang Programs
$ npx skills add sablin39/tilelang-cuda-skills --skill profiling-tilelang-programs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sablin39/tilelang-cuda-skills profiling-tilelang-programs --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/tilelang/profiling-tilelang-programs .claude/skills/profiling-tilelang-programs && 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 "profiling-tilelang-programs" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/tilelang/profiling-tilelang-programs into .claude/skills/profiling-tilelang-programs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profiling-tilelang-programs", 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/tilelang/profiling-tilelang-programsType 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 profiling-tilelang-programs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sablin39/tilelang-cuda-skills profiling-tilelang-programs --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/tilelang/profiling-tilelang-programs .agents/skills/profiling-tilelang-programs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "profiling-tilelang-programs" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/tilelang/profiling-tilelang-programs into .agents/skills/profiling-tilelang-programs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profiling-tilelang-programs", 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 profiling-tilelang-programs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sablin39/tilelang-cuda-skills profiling-tilelang-programs --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/tilelang/profiling-tilelang-programs .cursor/skills/profiling-tilelang-programs && 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 "profiling-tilelang-programs" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/tilelang/profiling-tilelang-programs into .cursor/skills/profiling-tilelang-programs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profiling-tilelang-programs", 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/tilelang/profiling-tilelang-programs--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 profiling-tilelang-programs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sablin39/tilelang-cuda-skills profiling-tilelang-programs --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/tilelang/profiling-tilelang-programs .gemini/skills/profiling-tilelang-programs && 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 "profiling-tilelang-programs" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/tilelang/profiling-tilelang-programs into .gemini/skills/profiling-tilelang-programs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profiling-tilelang-programs", 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 profiling-tilelang-programsInstalls 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 profiling-tilelang-programs -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/tilelang/profiling-tilelang-programs .github/skills/profiling-tilelang-programs && 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 "profiling-tilelang-programs" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/tilelang/profiling-tilelang-programs into .github/skills/profiling-tilelang-programs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profiling-tilelang-programs", 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 profiling-tilelang-programs -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 profiling-tilelang-programs --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/tilelang/profiling-tilelang-programs .opencode/skills/profiling-tilelang-programs && 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 "profiling-tilelang-programs" agent skill from https://github.com/sablin39/tilelang-cuda-skills/tree/main/skills/tilelang/profiling-tilelang-programs into .opencode/skills/profiling-tilelang-programs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "profiling-tilelang-programs", 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
profiling-tilelang-programs- GitHub stars
- 144
- Token cost
- ~1.6k tokens
- SKILL.md length
- 586 words
- Files
- 4 (incl. references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- None found
At a glance
Measure TileLang kernel and workflow performance, choose benchmark or timeline tools, and compare implementations fairly.
- Profiler selection
- SKILL.md covers Choose the measurement, Benchmark a compiled…, Profiler inputs and dynamic… and Trace and inspect a focused…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Establishing optimization baselines
What it does
Profiling Tilelang Programs is an agent skill from sablin39/tilelang-cuda-skills. Measure TileLang kernel and workflow performance, choose benchmark or timeline tools, and compare implementations fairly. Use for latency, throughput, profiler selection, and establishing optimization baselines.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/iket-profiling.md`, `references/metrics-reference.md` and `references/ncu-bottleneck-guide.md`).
It sits in Development, covering Performance optimization. It works with CUDA. The repository describes itself as: Skills for writing tilelang and debugging with CUDA toolkits.
When your agent uses it
- Profiler selection
- Establishing optimization baselines
Example prompts
- “/profiling-tilelang-programs”
Requirements
- Python 3
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 python and 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
Profiling Tilelang Programs loads about 1.6k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 586 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 586 words (~1,556 tokens).
“Define what is being measured: an isolated launch, an operation including output allocation, a graph replay, or a complete forward/backward pipeline. Validate correctness before interpreting speed. Record shapes, dtypes, strides, selected device, versions, warmup, repetition settings, and cache policy.”
- name
- profiling-tilelang-programs
Files
SKILL.md and 3 other files (references) in skills/tilelang/profiling-tilelang-programs of sablin39/tilelang-cuda-skills.
- SKILL.md
- references/iket-profiling.md
- references/metrics-reference.md
- references/ncu-bottleneck-guide.md
Open the folder on GitHubat commit 502a514
Compare with similar skills
Profiling Tilelang Programs 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 |
|---|---|---|---|---|---|---|
| Profiling Tilelang Programs this skillsablin39/tilelang-cuda-skills | 144 | — | ~1.6k | Automated safety check: Pass | None | |
| 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 | |
| Cppcrazyguitar/cppcheatsheet | 290 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Tilelang SkillslowlyC/agent-gpu-skills | 169 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Veomni ProfileByteDance-Seed/VeOmni | 2.2k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 |
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Write, debug, and optimize TileLang kernels from local upstream language, JIT, autotuning, profiling, compiler, test, and example source.
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More from sablin39/tilelang-cuda-skills
All 10 skills in this repoTorch Profiling Tilelang Programs
sablin39/tilelang-cuda-skills
Inspect a PyTorch baseline with torch.compile graphs/code and torch.profiler before drafting a custom kernel, then compare TileLang and PyTorch timelines, forward/backward regions, and allocations.
Writing Tilelang Design Docs
sablin39/tilelang-cuda-skills
Write human-facing TileLang design documents for proposed or completed kernel implementations.
Cuda
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Draft, debug, and measure CUDA kernels and host launch workflows.
Debugging Tilelang Programs
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Diagnose TileLang compilation, host argument, memory-liveness, runtime, and numerical failures.
Designing With Tilefoundry
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Describe model or operator HIR with TileFoundry, inspect topology and placement, run static cost analysis, visualize authored dataflow, and check a runtime implementation against its evaluator.
Optimizing Tilelang Programs
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Tune a correct TileLang kernel using measured bottlenecks, tile sizes, layouts, pipelining, fusion, and autotuning.
Related
Works with
Categories
Questions about Profiling Tilelang Programs
What does Profiling Tilelang Programs do?
Measure TileLang kernel and workflow performance, choose benchmark or timeline tools, and compare implementations fairly. Profiling Tilelang Programs is an agent skill from sablin39/tilelang-cuda-skills. Measure TileLang kernel and workflow performance, choose benchmark or timeline tools, and compare implementations fairly.
When should I use Profiling Tilelang Programs?
Profiling Tilelang Programs fits situations like: profiler selection; establishing optimization baselines.
How do I install Profiling Tilelang Programs in Claude Code?
Run `npx skills add sablin39/tilelang-cuda-skills --skill profiling-tilelang-programs -a claude-code`. Or copy the skill folder (skills/tilelang/profiling-tilelang-programs in sablin39/tilelang-cuda-skills) into .claude/skills/profiling-tilelang-programs in your project. Claude Code loads it when a task matches its description.
How do I install Profiling Tilelang Programs in Codex?
Run `npx skills add sablin39/tilelang-cuda-skills --skill profiling-tilelang-programs -a codex`. Or copy the skill folder (skills/tilelang/profiling-tilelang-programs in sablin39/tilelang-cuda-skills) into .agents/skills/profiling-tilelang-programs in your project. Codex loads it when a task matches its description.
Can I use Profiling Tilelang Programs 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 profiling-tilelang-programs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/profiling-tilelang-programs, .gemini/skills/profiling-tilelang-programs, .github/skills/profiling-tilelang-programs and .opencode/skills/profiling-tilelang-programs in your project.
What does Profiling Tilelang Programs need to run?
SKILL.md names no scripts, command-line tools or credentials: Profiling Tilelang Programs is instructions for the agent only. Our summary lists: Python 3.
Does Profiling Tilelang Programs 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 Profiling Tilelang Programs 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 Profiling Tilelang Programs use?
No licence was found for Profiling Tilelang Programs or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Profiling Tilelang Programs use?
About 1.6k tokens (SKILL.md is roughly 6.2k 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 3.1k tokens, read only when the agent opens those files.
What are the alternatives to Profiling Tilelang Programs?
Skills that share tags, products or a category with Profiling Tilelang Programs: The Art of Debugging (stas00/the-art-of-debugging, 1.7k stars), Cuda (technillogue/ptx-isa-markdown, 229 stars), Cpp (crazyguitar/cppcheatsheet, 290 stars) and Tilelang Skill (slowlyC/agent-gpu-skills, 169 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Profiling Tilelang Programs?
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.