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MindSpeed-MM weight conversion guide using mm-convert CLI tool.
Install Mindspeed Mm Weight Prep
$ npx skills add ascend-ai-coding/awesome-ascend-skills --skill mindspeed-mm-weight-prep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-weight-prep --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-weight-prep .claude/skills/mindspeed-mm-weight-prep && 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-weight-prep" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-weight-prep into .claude/skills/mindspeed-mm-weight-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-weight-prep", 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-weight-prepType 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-weight-prep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-weight-prep --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-weight-prep .agents/skills/mindspeed-mm-weight-prep && 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-weight-prep" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-weight-prep into .agents/skills/mindspeed-mm-weight-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-weight-prep", 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-weight-prep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-weight-prep --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-weight-prep .cursor/skills/mindspeed-mm-weight-prep && 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-weight-prep" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-weight-prep into .cursor/skills/mindspeed-mm-weight-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-weight-prep", 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-weight-prep--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-weight-prep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ascend-ai-coding/awesome-ascend-skills mindspeed-mm-weight-prep --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-weight-prep .gemini/skills/mindspeed-mm-weight-prep && 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-weight-prep" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-weight-prep into .gemini/skills/mindspeed-mm-weight-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-weight-prep", 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-weight-prepInstalls 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-weight-prep -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-weight-prep .github/skills/mindspeed-mm-weight-prep && 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-weight-prep" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-weight-prep into .github/skills/mindspeed-mm-weight-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-weight-prep", 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-weight-prep -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-weight-prep --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-weight-prep .opencode/skills/mindspeed-mm-weight-prep && 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-weight-prep" agent skill from https://github.com/ascend-ai-coding/awesome-ascend-skills/tree/main/skills/training/mindspeed-mm/mindspeed-mm-weight-prep into .opencode/skills/mindspeed-mm-weight-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mindspeed-mm-weight-prep", 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
mindspeed-mm-weight-prep- GitHub stars
- 174
- Token cost
- ~2.1k tokens
- SKILL.md length
- 639 words
- Files
- 2 (incl. references)
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- None found
At a glance
MindSpeed-MM weight conversion guide using mm-convert CLI tool.
- Works in 3 steps: Command-line Arguments → YAML Configuration File → Environment Variables
- Converting multimodal model weights on Ascend NPU
- SKILL.md covers mm-convert CLI Overview, Converter Selection, Quick Start and Parameter Passing Methods, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Mindspeed Mm Weight Prep is an agent skill from ascend-ai-coding/awesome-ascend-skills. MindSpeed-MM weight conversion guide using mm-convert CLI tool. Covers HuggingFace to MindSpeed-MM format conversion, reverse conversion, and PP weight resplitting. Supports Qwen2VLConverter, Qwen25VLConverter, InternVLConverter, WanConverter and more. Use when converting multimodal model weights on Ascend NPU.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/conversion-guide.md`).
It sits in AI & LLM Engineering, covering Model hubs and datasets. It works with 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/.
When your agent uses it
- Converting multimodal model weights on Ascend NPU
- Tasks that involve Model hubs and datasets
Example prompts
- “/mindspeed-mm-weight-prep”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Command-line Arguments
- YAML Configuration File
- Environment Variables
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
gitcode.com
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
Mindspeed Mm Weight Prep loads about 2.1k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 639 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 639 words (~2,097 tokens).
“This Skill guides users through converting multimodal model weights between HuggingFace and MindSpeed-MM formats using the mm-convert CLI tool, including VLM (Vision-Language Models) and generative models (video generation, etc.).”
- name
- mindspeed-mm-weight-prep
- keywords
- mindspeed-mm, weight, weight conversion, mm-convert, hf_to_mm, mm_to_hf, checkpoint, converter
Files
SKILL.md and 1 other file (references) in skills/training/mindspeed-mm/mindspeed-mm-weight-prep of ascend-ai-coding/awesome-ascend-skills.
- SKILL.md
- references/conversion-guide.md
Open the folder on GitHubat commit 62a4ecb
Compare with similar skills
Mindspeed Mm Weight Prep 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 Weight Prep this skillascend-ai-coding/awesome-ascend-skills | 174 | — | ~2.1k | Automated safety check: Pass | None | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Upload Post Imagehuggingface/blog | 3.5k | — | ~1.1k | Automated safety check: Pass | None | |
| Add Archon Modelareal-project/AReaL | 5.8k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
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Questions about Mindspeed Mm Weight Prep
What does Mindspeed Mm Weight Prep do?
MindSpeed-MM weight conversion guide using mm-convert CLI tool. Mindspeed Mm Weight Prep is an agent skill from ascend-ai-coding/awesome-ascend-skills. MindSpeed-MM weight conversion guide using mm-convert CLI tool.
When should I use Mindspeed Mm Weight Prep?
Mindspeed Mm Weight Prep fits situations like: converting multimodal model weights on Ascend NPU; tasks that involve Model hubs and datasets.
How do I install Mindspeed Mm Weight Prep in Claude Code?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill mindspeed-mm-weight-prep -a claude-code`. Or copy the skill folder (skills/training/mindspeed-mm/mindspeed-mm-weight-prep in ascend-ai-coding/awesome-ascend-skills) into .claude/skills/mindspeed-mm-weight-prep in your project. Claude Code loads it when a task matches its description.
How do I install Mindspeed Mm Weight Prep in Codex?
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --skill mindspeed-mm-weight-prep -a codex`. Or copy the skill folder (skills/training/mindspeed-mm/mindspeed-mm-weight-prep in ascend-ai-coding/awesome-ascend-skills) into .agents/skills/mindspeed-mm-weight-prep in your project. Codex loads it when a task matches its description.
Can I use Mindspeed Mm Weight Prep 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 mindspeed-mm-weight-prep -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-weight-prep, .gemini/skills/mindspeed-mm-weight-prep, .github/skills/mindspeed-mm-weight-prep and .opencode/skills/mindspeed-mm-weight-prep in your project.
What does Mindspeed Mm Weight Prep need to run?
SKILL.md names no scripts, command-line tools or credentials: Mindspeed Mm Weight Prep is instructions for the agent only.
Does Mindspeed Mm Weight Prep access the network?
SKILL.md names 1 domain. As links in the text: gitcode.com. This is read from the text; nothing was executed.
Is Mindspeed Mm Weight Prep 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 Mindspeed Mm Weight Prep use?
No licence was found for Mindspeed Mm Weight Prep or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Mindspeed Mm Weight Prep use?
About 2.1k tokens (SKILL.md is roughly 8.4k 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 3.2k tokens, read only when the agent opens those files.
What are the alternatives to Mindspeed Mm Weight Prep?
Skills that share tags, products or a category with Mindspeed Mm Weight Prep: LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face Local Model Evals (huggingface/skills, 11k stars) and Upload Post Image (huggingface/blog, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mindspeed Mm Weight Prep?
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.