A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed Agent Skills. https://ascend-ai-coding.github.io/awesome-ascend-skills/
This repository also configures its own agents. See what awesome-ascend-skills tells them →
ascend-ai-coding/awesome-ascend-skills
Skill Claude Code
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
A workflow for using AISS-TilingSolver to choose tiling parameters for Ascend C MatMul and vector operators. Tiling parameters divide work and data into pieces that fit the hardware efficiently.
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
Automates GitCode open-source repo merge workflow: commit → push → issue → PR → pipeline → review → /lgtm & /approve → merge. Invoke when user wants to submit code to a GitCode open-source repository.
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
GitHub Issue root cause analysis skill. Analyze specified GitHub issues to identify possible root causes by examining issue content, code repository, and related resources. Use when user asks to analyze issue root cause, investigate issue, RCA analysis, or troubleshoot GitHub issues. Provides investigation directions…
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
Analyze closed GitHub issues to create troubleshooting case studies with root cause analysis and lessons learned. Use when: (1) summarizing resolved issue troubleshooting process, (2) creating issue case studies, (3) documenting problem-solving methodology, (4) extracting lessons from closed issues, (5) building…
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
A documentation-review guide for checking advanced tutorials and developer guides against CANN operator code. CANN is a software platform for developing and running AI hardware operators.
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
Track daily PRs and Issues from vllm-project/vllm and vllm-project/vllm-ascend, filter by model (DeepSeek/Qwen/GLM/MiniMax/Kimi) and tech topics (PD disaggregation, MTP, quantization, graph mode, performance), analyze with LLM, and generate a Markdown report. Use when user wants vllm daily tracker, PR/Issue digest, or…
ascend-ai-coding/awesome-ascend-skills
Skill Claude Code
Run NPU inference/training tests on a remote SSH server with vllm-ascend Docker container. Use when the user asks to test models on NPU, run inference on Ascend devices, or deploy models to an SSH server.
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
Automatically fetch InferenceX benchmark data and generate daily performance reports for LLM inference on various hardware (NVIDIA, AMD, etc.). Supports email delivery, data change detection, and 8k1k sequence length performance analysis. Use when needing to track LLM inference performance trends, compare hardware…
ascend-ai-coding/awesome-ascend-skills
Skill Claude CodeCodex
Guides migration of traditional models from CPU/GPU to Ascend NPU. Invoke when user needs to adapt PyTorch code for Ascend devices, set up NPU environment, or verify migration correctness.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: