Discover ML
rand/cc-polymath
Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models.
HuggingFace Diffusers 环境配置指南,用于华为昇腾 NPU。覆盖 CANN 版本检测、PyTorch + torchnpu 安装、Diffusers 库安装及环境验证。当用户需要在昇腾 NPU 上配置 Diffusers 环境时使用。
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill diffusers-ascend-env-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills diffusers-ascend-env-setup --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/inference/diffusers-ascend/diffusers-ascend-env-setup .claude/skills/diffusers-ascend-env-setup && 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 "diffusers-ascend-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/diffusers-ascend/diffusers-ascend-env-setup into .claude/skills/diffusers-ascend-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diffusers-ascend-env-setup", 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/inference/diffusers-ascend/diffusers-ascend-env-setupType 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 diffusers-ascend-env-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills diffusers-ascend-env-setup --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/inference/diffusers-ascend/diffusers-ascend-env-setup .agents/skills/diffusers-ascend-env-setup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "diffusers-ascend-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/diffusers-ascend/diffusers-ascend-env-setup into .agents/skills/diffusers-ascend-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diffusers-ascend-env-setup", 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 diffusers-ascend-env-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills diffusers-ascend-env-setup --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/inference/diffusers-ascend/diffusers-ascend-env-setup .cursor/skills/diffusers-ascend-env-setup && 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 "diffusers-ascend-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/diffusers-ascend/diffusers-ascend-env-setup into .cursor/skills/diffusers-ascend-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diffusers-ascend-env-setup", 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/inference/diffusers-ascend/diffusers-ascend-env-setup--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 diffusers-ascend-env-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills diffusers-ascend-env-setup --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/inference/diffusers-ascend/diffusers-ascend-env-setup .gemini/skills/diffusers-ascend-env-setup && 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 "diffusers-ascend-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/diffusers-ascend/diffusers-ascend-env-setup into .gemini/skills/diffusers-ascend-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diffusers-ascend-env-setup", 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 diffusers-ascend-env-setupInstalls 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 diffusers-ascend-env-setup -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/inference/diffusers-ascend/diffusers-ascend-env-setup .github/skills/diffusers-ascend-env-setup && 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 "diffusers-ascend-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/diffusers-ascend/diffusers-ascend-env-setup into .github/skills/diffusers-ascend-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diffusers-ascend-env-setup", 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 diffusers-ascend-env-setup -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 diffusers-ascend-env-setup --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/inference/diffusers-ascend/diffusers-ascend-env-setup .opencode/skills/diffusers-ascend-env-setup && 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 "diffusers-ascend-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/inference/diffusers-ascend/diffusers-ascend-env-setup into .opencode/skills/diffusers-ascend-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "diffusers-ascend-env-setup", 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.
diffusers-ascend-env-setupHuggingFace Diffusers 环境配置指南,用于华为昇腾 NPU。覆盖 CANN 版本检测、PyTorch + torchnpu 安装、Diffusers 库安装及环境验证。当用户需要在昇腾 NPU 上配置 Diffusers 环境时使用。
Diffusers Ascend Env Setup is an agent skill from ascend-ai-coding/awesome-ascend-skills. HuggingFace Diffusers 环境配置指南,用于华为昇腾 NPU。覆盖 CANN 版本检测、PyTorch + torchnpu 安装、Diffusers 库安装及环境验证。当用户需要在昇腾 NPU 上配置 Diffusers 环境时使用。
Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/cann-versions.md`, `references/installation.md` and `references/troubleshooting.md`).
It sits in AI & LLM Engineering, covering Diffusion and image models and Deep learning. It works with PyTorch and Hugging Face. 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/.
Read from SKILL.md and the folder at commit 62a4ecb. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pippythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
download.pytorch.orgAlso links to:
gitcode.comhuggingface.cohiascend.comFrom 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.
Diffusers Ascend Env Setup loads about 566 tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 39 tokens; SKILL.md has 110 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 110 words (~566 tokens).
“本 Skill 指导用户在华为昇腾 NPU 上配置 HuggingFace Diffusers 开发环境。”
SKILL.md and 4 other files (scripts, references) in skills/inference/diffusers-ascend/diffusers-ascend-env-setup of ascend-ai-coding/awesome-ascend-skills.
Open the folder on GitHubat commit 62a4ecb
Diffusers Ascend Env Setup 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 |
|---|---|---|---|---|---|---|
| Diffusers Ascend Env Setup this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~566 | Automated safety check: Pass | None | |
| Discover MLrand/cc-polymath | 181 | 1 repos | ~574 | Automated safety check: Pass | MIT | |
| Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.7k | Automated safety check: Pass | MIT | |
| Nvflare Convert HuggingfaceNVIDIA/skills | 3.5k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Quark Torch Ptqamd/Quark | 181 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Tao Port Huggingface ModelNVIDIA/skills | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 |
rand/cc-polymath
Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models.
Orchestra-Research/AI-Research-SKILLs
Scales PyTorch, TensorFlow and Hugging Face training from a single GPU to multi-node clusters with Ray Train, including Ray Tune sweeps and checkpoint recovery.
NVIDIA/skills
Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names…
amd/Quark
Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request…
NVIDIA/skills
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).
Orchestra-Research/AI-Research-SKILLs
Adds distributed and mixed-precision training to a PyTorch script with a few Accelerate lines, then launches it on one GPU, many GPUs or DeepSpeed and FSDP setups.
ascend-ai-coding/awesome-ascend-skills
当用户需要对华为昇腾 NPU 进行硬件层面的管理、测试或诊断时使用此 skill。典型场景: - 查看 NPU 卡的状态、温度、利用率 - 测试内存带宽(h2d/d2h/d2d/p2p) - 跑算力/功耗基准测试(TFLOPS、TOPS) - 诊断 NPU 硬件故障或做健康检查 - 对 NPU 卡做压力测试(aicore、内存) - 复位/恢复卡住或异常的 NPU 卡 典型用户问题(即使不提…
ascend-ai-coding/awesome-ascend-skills
End-to-end AscendC custom operator development for Ascend NPU in an ascend-kernel (csrc/ops + build.sh + torchnpu PyTorch custom op) project.
ascend-ai-coding/awesome-ascend-skills
Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation.
ascend-ai-coding/awesome-ascend-skills
当需要编写 PyPTO 算子实现时使用此 skill。基于需求规格、设计方案和参考实现,生成完整可运行的 PyPTO 算子实现与配套测试、文档。Triggers: 实现算子、写 kernel、编写实现、写 impl、算子编码、开始编码、code the op、写 test、生成测试、写实现代码、op develop、kernel 实现。
ascend-ai-coding/awesome-ascend-skills
Analyze official Megatron-LM commits, PRs, and branch change sets to identify feature evolution, candidate breaking changes, and migration-relevant events.
ascend-ai-coding/awesome-ascend-skills
Track and normalize change requests against the official Megatron-LM repository by branch, PR, commit, commit range, or time window.
Works with
Categories
HuggingFace Diffusers 环境配置指南,用于华为昇腾 NPU。覆盖 CANN 版本检测、PyTorch + torchnpu 安装、Diffusers 库安装及环境验证。当用户需要在昇腾 NPU 上配置 Diffusers 环境时使用。. Diffusers Ascend Env Setup is an agent skill from ascend-ai-coding/awesome-ascend-skills.
Diffusers Ascend Env Setup fits situations like: tasks that involve Diffusion and image models; tasks that involve Deep learning.
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill diffusers-ascend-env-setup -a claude-code`. Or copy the skill folder (skills/inference/diffusers-ascend/diffusers-ascend-env-setup in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/diffusers-ascend-env-setup in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill diffusers-ascend-env-setup -a codex`. Or copy the skill folder (skills/inference/diffusers-ascend/diffusers-ascend-env-setup in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/diffusers-ascend-env-setup 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 ascend-ai-coding/awesome-ascend-skills --skill diffusers-ascend-env-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/diffusers-ascend-env-setup, .gemini/skills/diffusers-ascend-env-setup, .github/skills/diffusers-ascend-env-setup and .opencode/skills/diffusers-ascend-env-setup in your project.
Going by SKILL.md and its folder, Diffusers Ascend Env Setup needs Python for the scripts in its folder and the command-line tools its instructions call (pip and python). Our summary lists: Python 3.
SKILL.md names 4 domains. In commands or code: download.pytorch.org; the agent is likely to contact it when it follows the instructions. As links in the text: gitcode.com, huggingface.co and hiascend.com. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Diffusers Ascend Env Setup or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 566 tokens (SKILL.md is roughly 2.3k 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 4.9k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Diffusers Ascend Env Setup: Discover ML (rand/cc-polymath, 181 stars), Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Nvflare Convert Huggingface (NVIDIA/skills, 3.5k stars) and Quark Torch Ptq (amd/Quark, 181 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ascend-ai-coding (a GitHub organization) maintains it in ascend-ai-coding/awesome-ascend-skills, which has 174 GitHub stars. The repository holds 69 skills in this directory. The repository was last updated on October 7, 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.