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wan-ascend-adaptation

100 / 100 · Low risk

Fine to try.

By ascend-ai-coding/awesome-ascend-skills (GitHub) · media · 184 stars · scanned at commit 75ec89c

This skill provides comprehensive guidance for adapting Wan-series video generation models (Wan2.1/Wan2.2) from NVIDIA CUDA to Huawei Ascend NPU. It should be used when performing NPU migration of DiT-based video diffusion models, including device layer adaptation, operator replacement, distributed parallelism refactoring, attention optimization, VAE parallelization, and model quantization. This skill covers 9 major adaptation domains derived from real-world Wan2.2 CUDA-to-Ascend porting experi…

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'wan-ascend-adaptation' ] || [ -L ~/.agents/skills/'wan-ascend-adaptation' ]; then echo 'A skill folder named wan-ascend-adaptation already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ascend-ai-coding/awesome-ascend-skills' "$d" && git -C "$d" checkout --quiet '75ec89ce9d401be8ac95980e1c3f42f8d4315057' -- 'skills/inference/wan-ascend-adaptation' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/inference/wan-ascend-adaptation' ~/.agents/skills/'wan-ascend-adaptation' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'wan-ascend-adaptation' ~/.claude/skills/'wan-ascend-adaptation' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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Score history

DateVersionScore
2026-11-0875ec89c100