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.
Agent skill
AI For Science Ai4s Profiling
by ascend-ai-coding in ascend-ai-coding/awesome-ascend-skills
AI for Science 场景下的昇腾 NPU Profiling 采集与性能分析 Skill，用于在华为 Ascend NPU 上使用 torchnpu.profiler 采集 L0、L1、L2 级性能数据，分析训练或推理中的算子耗时、调用栈、内存与瓶颈，并指导后续调优。
Install AI For Science Ai4s Profiling
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-ai4s-profiling --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/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-for-science/ai4s-profiling .claude/skills/ai-for-science-ai4s-profiling && 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 "ai-for-science-ai4s-profiling" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/ai4s-profiling into .claude/skills/ai-for-science-ai4s-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-ai4s-profiling", 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/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/ai4s-profilingType 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 ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-ai4s-profiling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-for-science/ai4s-profiling .agents/skills/ai-for-science-ai4s-profiling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-for-science-ai4s-profiling" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/ai4s-profiling into .agents/skills/ai-for-science-ai4s-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-ai4s-profiling", 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 ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-ai4s-profiling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-for-science/ai4s-profiling .cursor/skills/ai-for-science-ai4s-profiling && 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 "ai-for-science-ai4s-profiling" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/ai4s-profiling into .cursor/skills/ai-for-science-ai4s-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-ai4s-profiling", 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/ascend-ai-coding/awesome-ascend-skills.git --path skills/ai-for-science/ai4s-profiling--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 ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-ai4s-profiling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-for-science/ai4s-profiling .gemini/skills/ai-for-science-ai4s-profiling && 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 "ai-for-science-ai4s-profiling" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/ai4s-profiling into .gemini/skills/ai-for-science-ai4s-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-ai4s-profiling", 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 ascend-ai-coding/awesome-ascend-skills ai-for-science-ai4s-profilingInstalls 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 ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-for-science/ai4s-profiling .github/skills/ai-for-science-ai4s-profiling && 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 "ai-for-science-ai4s-profiling" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/ai4s-profiling into .github/skills/ai-for-science-ai4s-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-ai4s-profiling", 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 ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills ai-for-science-ai4s-profiling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ascend-ai-coding/awesome-ascend-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-for-science/ai4s-profiling .opencode/skills/ai-for-science-ai4s-profiling && 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 "ai-for-science-ai4s-profiling" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/ai-for-science/ai4s-profiling into .opencode/skills/ai-for-science-ai4s-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-for-science-ai4s-profiling", 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
ai-for-science-ai4s-profiling- GitHub stars
- 174
- Token cost
- ~3k tokens
- SKILL.md length
- 400 words
- Files
- 3 (incl. scripts, references)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
AI for Science 场景下的昇腾 NPU Profiling 采集与性能分析 Skill，用于在华为 Ascend NPU 上使用 torchnpu.profiler 采集 L0、L1、L2 级性能数据，分析训练或推理中的算子耗时、调用栈、内存与瓶颈，并指导后续调优。
- Works in 7 steps: 环境准备与校验 → 确定采集场景 → 采集级别说明 → …
- Tasks that involve Performance optimization
- SKILL.md covers 重要默认行为, 前置条件, 流程总览 and 0. 环境准备与校验, plus 8 more sections
- Runs Python scripts from its folder; calls python3 and python
What it does
AI For Science Ai4s Profiling is an agent skill from ascend-ai-coding/awesome-ascend-skills. AI for Science 场景下的昇腾 NPU Profiling 采集与性能分析 Skill，用于在华为 Ascend NPU 上使用 torchnpu.profiler 采集 L0、L1、L2 级性能数据，分析训练或推理中的算子耗时、调用栈、内存与瓶颈，并指导后续调优。
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/analysis-checklist.md` and `scripts/validate_profiling_env.py`).
It sits in Development, covering Performance optimization. It works with CUDA. The repository describes itself as: A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/.
When your agent uses it
- Tasks that involve Performance optimization
Example prompts
- “/ai-for-science-ai4s-profiling”
Requirements
- Python 3
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- 环境准备与校验
- 确定采集场景
- 采集级别说明
- 植入 Profiling 代码
- 框架适配
- GPU 对比采集（可选）
- 快速参考：采集代码模板选择
What it can do on your machine
Read from SKILL.md and the folder at commit 62a4ecb. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3python
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
AI For Science Ai4s Profiling loads about 3k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 43 tokens; SKILL.md has 400 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 400 words (~2,966 tokens).
“本 Skill 提供在华为昇腾 NPU 上采集性能 Profiling 数据的标准化流程， 支持 L0（最小膨胀）、L1（算子级）、L2（完整调用栈）三个采集级别， 覆盖训练和推理两种场景，以及多种训练框架的接入方式。”
- name
- ai-for-science-ai4s-profiling
- keywords
- ai-for-science, profiling, torch_npu, performance, cann, ascend
Files
SKILL.md and 2 other files (scripts, references) in skills/ai-for-science/ai4s-profiling of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- references/analysis-checklist.md
- scripts/validate_profiling_env.py
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
AI For Science Ai4s Profiling 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 |
|---|---|---|---|---|---|---|
| AI For Science Ai4s Profiling this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~3k | 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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Questions about AI For Science Ai4s Profiling
What does AI For Science Ai4s Profiling do?
AI for Science 场景下的昇腾 NPU Profiling 采集与性能分析 Skill，用于在华为 Ascend NPU 上使用 torchnpu.profiler 采集 L0、L1、L2 级性能数据，分析训练或推理中的算子耗时、调用栈、内存与瓶颈，并指导后续调优。. AI For Science Ai4s Profiling is an agent skill from ascend-ai-coding/awesome-ascend-skills.
When should I use AI For Science Ai4s Profiling?
AI For Science Ai4s Profiling fits situations like: tasks that involve Performance optimization.
How do I install AI For Science Ai4s Profiling in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a claude-code`. Or copy the skill folder (skills/ai-for-science/ai4s-profiling in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/ai-for-science-ai4s-profiling in your project. Claude Code loads it when a task matches its description.
How do I install AI For Science Ai4s Profiling in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a codex`. Or copy the skill folder (skills/ai-for-science/ai4s-profiling in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/ai-for-science-ai4s-profiling in your project. Codex loads it when a task matches its description.
Can I use AI For Science Ai4s Profiling 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 ascend-ai-coding/awesome-ascend-skills --skill ai-for-science-ai4s-profiling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-for-science-ai4s-profiling, .gemini/skills/ai-for-science-ai4s-profiling, .github/skills/ai-for-science-ai4s-profiling and .opencode/skills/ai-for-science-ai4s-profiling in your project.
What does AI For Science Ai4s Profiling need to run?
Going by SKILL.md and its folder, AI For Science Ai4s Profiling needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and python). Our summary lists: Python 3.
Does AI For Science Ai4s Profiling 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 AI For Science Ai4s Profiling 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does AI For Science Ai4s Profiling use?
No licence was found for AI For Science Ai4s Profiling or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does AI For Science Ai4s Profiling use?
About 3k tokens (SKILL.md is roughly 12k 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 391 tokens, read only when the agent opens those files.
What are the alternatives to AI For Science Ai4s Profiling?
Skills that share tags, products or a category with AI For Science Ai4s Profiling: 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 AI For Science Ai4s Profiling?
ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 9, 2026.
Source: ascend-ai-coding/awesome-ascend-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.