Graphsignal
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.
MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU.
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill mindspeed-mm-env-setup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-env-setup .claude/skills/mindspeed-mm-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 "mindspeed-mm-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-env-setup into .claude/skills/mindspeed-mm-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-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 mindspeed-mm-env-setup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-env-setup .agents/skills/mindspeed-mm-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 "mindspeed-mm-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-env-setup into .agents/skills/mindspeed-mm-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-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 mindspeed-mm-env-setup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-env-setup .cursor/skills/mindspeed-mm-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 "mindspeed-mm-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-env-setup into .cursor/skills/mindspeed-mm-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-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 mindspeed-mm-env-setup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-env-setup .gemini/skills/mindspeed-mm-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 "mindspeed-mm-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-env-setup into .gemini/skills/mindspeed-mm-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-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 mindspeed-mm-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 mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-env-setup .github/skills/mindspeed-mm-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 "mindspeed-mm-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-env-setup into .github/skills/mindspeed-mm-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-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 mindspeed-mm-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 mindspeed-mm-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/training/mindspeed-mm/mindspeed-mm-env-setup .opencode/skills/mindspeed-mm-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 "mindspeed-mm-env-setup" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-env-setup into .opencode/skills/mindspeed-mm-env-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-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.
mindspeed-mm-env-setupMindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU.
Mindspeed Mm Env Setup is an agent skill from ascend-ai-coding/awesome-ascend-skills. MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU. Covers CANN activation, PyTorch + torchnpu installation, MindSpeed acceleration library, Megatron-LM core module integration, and MindSpeed-MM installation. Use when setting up MindSpeed-MM multimodal training environment on Ascend NPU.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/version-matrix.md`).
It sits in AI & LLM Engineering, covering Deep learning. It works with PyTorch, NVIDIA AI Platform and Qwen. 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.
Shell commands in SKILL.md call:
pipgitpythonbashdockercondapython3From 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:
gitcode.comgithub.comdownload.pytorch.orgAlso links to:
hiascend.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.
Mindspeed Mm Env Setup loads about 3.1k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 869 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 869 words (~3,140 tokens).
“This skill guides users through setting up the base environment for MindSpeed-MM multimodal training on Huawei Ascend NPU.”
SKILL.md and 1 other file (references) in skills/training/mindspeed-mm/mindspeed-mm-env-setup of ascend-ai-coding/awesome-ascend-skills.
Open the folder on GitHubat commit 62a4ecb
Mindspeed Mm 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 |
|---|---|---|---|---|---|---|
| Mindspeed Mm Env Setup this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~3.1k | Automated safety check: Pass | None | |
| Graphsignalgraphsignal/graphsignal | 257 | — | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| Megatron-Core LLM TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Hyperpod Version Checkerawslabs/agent-plugins | 915 | 1 repos | ~910 | Automated safety check: Pass | Apache-2.0 | |
| Quark Env Preflightamd/Quark | 181 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Spark Environment Setupwshobson/agents | 40k | — | ~2k | Automated safety check: Pass | MIT |
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
Sets up large-scale LLM training with NVIDIA Megatron-Core, choosing tensor, pipeline, data, context and expert parallelism for a given model size and GPU count.
awslabs/agent-plugins
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia)…
amd/Quark
Collect and normalize environment facts (OS, Python, GPU, CUDA/ROCm, container state) before Quark installation or PTQ planning.
wshobson/agents
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13).
Luciole-Studio/Misaka-Agent
Run PyTorch training across GPUs with minimal changes. An agent skill from Luciole-Studio/Misaka-Agent.
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
MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU. Mindspeed Mm Env Setup is an agent skill from ascend-ai-coding/awesome-ascend-skills. MindSpeed-MM multimodal model suite environment setup guide for Huawei Ascend NPU.
Mindspeed Mm Env Setup fits situations like: setting up MindSpeed-MM multimodal training environment on Ascend NPU; tasks that involve Deep learning.
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill mindspeed-mm-env-setup -a claude-code`. Or copy the skill folder (skills/training/mindspeed-mm/mindspeed-mm-env-setup in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/mindspeed-mm-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 mindspeed-mm-env-setup -a codex`. Or copy the skill folder (skills/training/mindspeed-mm/mindspeed-mm-env-setup in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/mindspeed-mm-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 mindspeed-mm-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/mindspeed-mm-env-setup, .gemini/skills/mindspeed-mm-env-setup, .github/skills/mindspeed-mm-env-setup and .opencode/skills/mindspeed-mm-env-setup in your project.
Going by SKILL.md and its folder, Mindspeed Mm Env Setup needs the command-line tools its instructions call (pip, git, python, bash, docker and conda). Our summary lists: Python 3; Docker.
SKILL.md names 4 domains. In commands or code: gitcode.com, github.com and download.pytorch.org; the agent is likely to contact these when it follows the instructions. As links in the text: 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. Review the folder before installing.
No licence was found for Mindspeed Mm Env Setup or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 3.1k tokens (SKILL.md is roughly 13k 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 952 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Mindspeed Mm Env Setup: Graphsignal (graphsignal/graphsignal, 257 stars), Megatron-Core LLM Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), Hyperpod Version Checker (awslabs/agent-plugins, 915 stars) and Quark Env Preflight (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 70 skills in this directory. The repository was last updated on October 8, 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.