ascend-inference-repos-copilot

Answer questions about Ascend inference repositories with cited code references.

31|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/Ascend/agent-skills --skill ascend-inference-repos-copilot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ascend-inference-repos-copilot
Source: https://github.com/Ascend/agent-skills/tree/main/skills/ascend-inference-repos-copilot
Command: npx skills add https://github.com/Ascend/agent-skills --skill ascend-inference-repos-copilot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides expert, context-aware Q&A support for Ascend inference ecosystem repositories, enabling users to quickly obtain accurate, evidence-based guidance on repository structure, usage, and troubleshooting.

Core Features & Use Cases

  • Repository-agnostic Q&A: Delivers precise answers across the seven approved repositories (vLLM, vLLM-Ascend, MindIE-LLM, MindIE-SD, MindIE-Motor, MindIE-Turbo, msModelSlim) with source citations.
  • DeepWiki-backed context: Leverages DeepWiki to fetch up-to-date, repository-specific information and present it with traceable references.
  • Multi-language support: Responds in the language of the user's query (Chinese or English) and avoids fabricating details when information is unavailable.
  • Guided troubleshooting and usage: Assists with installation, configuration, debugging, and optimization tasks using verifiable sources.

Quick Start

Ask a question about an Ascend inference repository to receive expert, source-backed guidance.

Frequently Asked Questions about ascend-inference-repos-copilot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I troubleshoot vLLM-Ascend inference deployment issues?

Troubleshoot vLLM-Ascend inference deployment by querying this Q&A Skill to retrieve evidence-based guidance. It leverages DeepWiki to fetch repository-specific information, cite exact file paths, and provide accurate technical debugging steps.

How do I configure MindIE-LLM for model inference?

Configure MindIE-LLM for model inference by asking context-aware questions about the repository. The Skill provides expert guidance on installation, configuration, and optimization tasks using verifiable sources and exact code references.

Does Ascend inference support vLLM and MindIE-SD repositories?

Ascend inference supports vLLM and MindIE-SD repositories. This Q&A Skill delivers precise, context-aware answers across seven approved repositories, including vLLM, MindIE-SD, MindIE-Motor, MindIE-Turbo, and msModelSlim.

What is the best way to find exact code references in msModelSlim?

Find exact code references in msModelSlim by asking this Q&A Skill repository-specific questions. It leverages DeepWiki for knowledge retrieval, cites exact file paths, and clearly marks any uncertainties to avoid fabricating details.

Why does my MindIE-Turbo optimization return uncertain results?

MindIE-Turbo optimization results may return uncertain answers if DeepWiki lacks specific repository information. The Skill clearly marks any uncertainties and avoids fabricating details when verifiable source information is unavailable.

Can I get Ascend repository Q&A support in Chinese?

Get Ascend repository Q&A support in Chinese by submitting queries in that language. The Skill responds in the language of the user's query, providing multi-language support for both Chinese and English across the inference ecosystem.