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.
Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation.
$ npx skills add AI4Scientist/nano-scientist --skill system-profile -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AI4Scientist/nano-scientist system-profile --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/AI4Scientist/nano-scientist.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/system-profile .claude/skills/system-profile && 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 "system-profile" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/system-profile into .claude/skills/system-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-profile", 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/AI4Scientist/nano-scientist/tree/main/skills/system-profileType 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 AI4Scientist/nano-scientist --skill system-profile -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AI4Scientist/nano-scientist system-profile --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/system-profile .agents/skills/system-profile && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "system-profile" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/system-profile into .agents/skills/system-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-profile", 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 AI4Scientist/nano-scientist --skill system-profile -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AI4Scientist/nano-scientist system-profile --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/system-profile .cursor/skills/system-profile && 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 "system-profile" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/system-profile into .cursor/skills/system-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-profile", 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/AI4Scientist/nano-scientist.git --path skills/system-profile--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 AI4Scientist/nano-scientist --skill system-profile -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AI4Scientist/nano-scientist system-profile --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/system-profile .gemini/skills/system-profile && 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 "system-profile" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/system-profile into .gemini/skills/system-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-profile", 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 AI4Scientist/nano-scientist system-profileInstalls 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 AI4Scientist/nano-scientist --skill system-profile -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/system-profile .github/skills/system-profile && 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 "system-profile" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/system-profile into .github/skills/system-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-profile", 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 AI4Scientist/nano-scientist --skill system-profile -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AI4Scientist/nano-scientist system-profile --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AI4Scientist/nano-scientist.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/system-profile .opencode/skills/system-profile && 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 "system-profile" agent skill from https://github.com/AI4Scientist/nano-scientist/tree/main/skills/system-profile into .opencode/skills/system-profile/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "system-profile", 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.
system-profileProfile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation.
System Profile is an agent skill from AI4Scientist/nano-scientist. Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", or wants performance analysis.
Its SKILL.md is about 1.1k 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 AI & LLM Engineering, covering Performance optimization. It works with NVIDIA AI Platform. The repository describes itself as: An autonomous research agent that turns a topic into a peer-reviewed technical report.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7132192. 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
System Profile loads about 1.1k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 530 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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 530 words (~1,136 tokens).
“Profile the specified target and summarize the results. Target: $ARGUMENTS”
Just SKILL.md in skills/system-profile of AI4Scientist/nano-scientist.
Open the folder on GitHubat commit 7132192
We found 8 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in AI4Scientist/nano-scientist, which our catalogue first saw on October 7, 2026.
System Profile 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 |
|---|---|---|---|---|---|---|
| System Profile this skillAI4Scientist/nano-scientist | 128 | 4 repos | ~1.1k | Automated safety check: Pass | None | |
| 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 | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| TensorRT-LLM InferenceOrchestra-Research/AI-Research-SKILLs | 13k | 4 repos | ~1.3k | Automated safety check: Pass | MIT |
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.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
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.
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.
majiayu000/spellbook
优化实际模型推理链路,将正确性对齐、分段 profiling、显存与数据搬运、TensorRT/ONNX/PyTorch 后端、attention/kernel、FP8/compile、缓存与少步采样、质量回归、GPU 成本和服务验收串成同一实验闭环。当用户要求推理提速、降低显存或 GPU 成本、复现模型效果、定位 GPU 利用率低、优化图像/视频/扩散模型或自托管 LLM 时使用,提供…
AI4Scientist/nano-scientist
Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a…
AI4Scientist/nano-scientist
Compile LaTeX paper to PDF, fix errors, and verify output. An agent skill from AI4Scientist/nano-scientist.
AI4Scientist/nano-scientist
Generate publication-quality figures and tables from experiment results.
AI4Scientist/nano-scientist
Find and read academic papers: disambiguate queries, discover papers (search, citation traversal, recommendations, arXiv monitoring, trending, GitHub search), evaluate (TLDR, citations, code, SOTA)…
AI4Scientist/nano-scientist
Writes rigorous mathematical proofs for ML/AI theory. An agent skill from AI4Scientist/nano-scientist.
AI4Scientist/nano-scientist
A skill your agent uses when main results pass result-to-claim (claimsupported=yes or partial) and ablation studies are needed for paper submission.
Works with
Categories
Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. System Profile is an agent skill from AI4Scientist/nano-scientist. Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation.
System Profile fits situations like: user says profile; wants performance analysis.
Run `npx skills add AI4Scientist/nano-scientist --skill system-profile -a claude-code`. Or copy the skill folder (skills/system-profile in AI4Scientist/nano-scientist) into .claude/skills/system-profile in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AI4Scientist/nano-scientist --skill system-profile -a codex`. Or copy the skill folder (skills/system-profile in AI4Scientist/nano-scientist) into .agents/skills/system-profile 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 AI4Scientist/nano-scientist --skill system-profile -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/system-profile, .gemini/skills/system-profile, .github/skills/system-profile and .opencode/skills/system-profile in your project.
SKILL.md names no scripts, command-line tools or credentials: System Profile is instructions for the agent only. 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.
No licence was found for System Profile or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.1k tokens (SKILL.md is roughly 4.5k 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 System Profile: LLM Torch Profiler Trace Analysis (BBuf/AI-Infra-Auto-Driven-SKILLS, 925 stars), Cuda Profiling (mohitmishra786/low-level-dev-skills, 253 stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k 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.
AI4Scientist (a GitHub organization) maintains it in AI4Scientist/nano-scientist, which has 128 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on June 3, 2026.
Source: AI4Scientist/nano-scientist on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.