🎯

mindspeed-llm-weight-prep

🎯Skill

from ascend-ai-coding/awesome-ascend-skills

Security check pending

📦

Same repository

ascend-ai-coding/awesome-ascend-skills(37 items)

mindspeed-llm-weight-prep

Installation

Vibe Index InstallInstalls to .claude/skills/ - auto-recognized by Claude Code

npx vibeindex add ascend-ai-coding/awesome-ascend-skills --skill mindspeed-llm-weight-prep

skills.sh Install⚠ Installs to .agents/skills/ - may not be auto-recognized by Claude Code

npx skills add ascend-ai-coding/awesome-ascend-skills --skill mindspeed-llm-weight-prep

Manual InstallCopy SKILL.md content and save to the path below

~/.claude/skills/mindspeed-llm-weight-prep/SKILL.md

SKILL.md

9Installs

AddedApr 13, 2026

View on GitHub Back to Skills

More from this repository10

🎯

npu-smi🎯Skill

A command reference skill for Huawei Ascend NPU npu-smi tool, covering device queries (health, temperature, power, memory), configuration, firmware upgrades, virtualization (vNPU), and certificate management.

🎯

atc-model-converter🎯Skill

A complete toolkit for Huawei Ascend NPU model conversion and inference, supporting ONNX to .om format conversion via ATC, Python inference with ais_bench, precision comparison, and end-to-end YOLO inference.

🎯

hccl-test🎯Skill

HCCL (Huawei Collective Communication Library) performance testing skill for Ascend NPU clusters, covering distributed communication bandwidth testing, HCCL functionality verification, and collective operations benchmarking.

🎯

ascend-docker🎯Skill

Streamlines Docker container creation, optimization, and deployment for AI/ML workloads on Ascend hardware with performance-focused configurations.

Skill

Optimizes machine learning model size and inference speed through advanced pruning, quantization, and compression techniques for efficient deployment.

Skill

Benchmarks and profiles AI model performance across hardware, measuring inference speed, memory usage, and computational efficiency.

Skill

Skill