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.
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.
A comprehensive knowledge base for Huawei Ascend NPU development, structured as distributed AI Agent Skills. Includes npu-smi device management, HCCL performance testing, and ATC model conversion.
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.
A starter package for Huawei Ascend development that includes device checks, container support, and basic PyTorch NPU capabilities. It is intended as the first setup step for general projects.
An installation package for Ascend model conversion, quantization, inference deployment, and evaluation. It includes tools and guides for vLLM-Ascend, ais-bench, Diffusers, and related model workflows.
A toolkit for AI for Science work on Huawei Ascend processors, covering profiling, model migration, and TensorFlow or Keras workflow choices. AI for Science means using machine learning to study scientific problems.
A set of skills for running Diffusers, a library for image and other generative AI models, on Huawei Ascend NPU processors. It covers environment setup, model weights, and pipeline inference.
A research tool that collects developer feedback from the Huawei Ascend community forum and identifies usability problems, failures, and error reports within a chosen time range.
AI for Science skill set for Huawei Ascend NPU. Includes a main routing skill for profiling collection, model migration, and TensorFlow route selection, plus specialized leaf skills for Boltz2, BoltzGen, DeepFRI, DiffSBDD, GENERator, OligoFormer, ProteinBERT, TensorFlow Community deployment, TF-to-PyTorch conversion…
A pair of code-review skills for Ascend C, Huawei’s language and development environment for Ascend NPU operators, with code-review rules and API documentation lookup.
A collection of 91 skills for working with Huawei Ascend AI processors, including code analysis, research-paper discovery, inference repositories, and model migration.
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…
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.
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…
★not rated 173 yesterdayA106 tokens
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: