awesome-ascend-skills
Ascend NPU model training, inference, migration, and profiling
All Skills in This Repository (8)
Pure Emerald Level Indicators
ascend-ai-codingnpu-smi
Query and manage Huawei Ascend NPU health, configuration, and firmware via npu-smi.
ascend-ai-codingascendc
Implement AscendC transformer operator definitions and kernels for FFN, GMM, and MoE.
ascend-ai-codingascend-docker
Automate Docker container creation for Huawei Ascend NPU development with device mappings.
ascend-ai-codingmsmodelslim
Quantize and optimize Huawei Ascend NPU models for MindIE or vLLM-Ascend deployment.
ascend-ai-codingatc-model-converter
Convert ONNX models to Ascend OM format with ATC and validate via AIS Bench.
ascend-ai-codingvllm-ascend
Serve OpenAI-compatible LLM inference on Huawei Ascend NPUs.
ascend-ai-codingais-bench
Evaluate AI model accuracy and performance on Ascend NPU with AISBench.
ascend-ai-codinghccl-test
Benchmark HCCL operations like AllReduce and AllGather across Ascend NPUs with MPI orchestration.
Frequently Asked Questions
FAQPage SchemaHow to install awesome-ascend-skills?▼
Run `npx skills add ascend-ai-coding/awesome-ascend-skills --all -g -y` in your terminal to install all skills globally. You can also install a single domain bundle, for example the inference or training directory.
What problems do these Ascend NPU skills solve?▼
They cover CUDA-to-NPU model migration, MindSpeed-LLM/MM training, vLLM inference deployment, HCCL communication testing, and profiling-based performance analysis on Huawei Ascend hardware.
Which AI coding tools support these skills?▼
All skills follow the standard SKILL.md format and work with Claude Code, OpenCode, Cursor, Trae, and Codex.
How do I migrate a PyTorch model to Ascend NPU?▼
Use the migration skills to scan CUDA dependencies, apply transfer_to_npu auto-migration, replace unsupported operators, and verify precision against a CPU or GPU baseline.
Do I need NPU hardware to use these skills?▼
Code-level migration and analysis can be done without hardware, but final validation, training, and inference steps require an Ascend NPU server with CANN installed.
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