AgentDojo
Daily low-token, safety-first upskilling loop for OpenClaw multi-agent teams. Runs configurable micro-drills, scores quality, and produces a compact daily di...
专用于以下昇腾(Ascend)推理开源代码仓库的智能问答技能:vLLM、vLLM-Ascend、MindIE-LLM、MindIE-SD、MindIE-Motor、MindIE-PyMotor、MindIE-Turbo 以及 msModelSlim (MindStudio-ModelSlim)。当回答用户关于前述代码仓的问题时,需提供因果链感知、基于证据的技术回答,并确保回答完整、准确、逻辑合理且可追溯。覆盖的技术问题包括但不限于:源码理解、软件架构、部署与使用步骤指引、API 和参数配置、模型与特性支持查询、模型量化后如何推理、调试技巧、测试验证、故障排除与解决、日志异常检测、性能优化、精度验证、定制开发以及其他相关技术问题。支持中英文双语回复,还可以借助 DeepWiki MCP 工具,对仓库中的信息进行更深入的检索。触发条件(满足以下任意一项即可):1. 用户的问题中提及上述任一仓库名称(支持中英文别名,且不区分大小写);2. 用户的问题中同时包含 "昇腾 推理" 或 "Ascend Inference",并且涉及大模型、多模态、部署、性能、报错或代码等相关信息。
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Install skill "ascend-inference-repos-copilot" with this command: npx skills add Agent-Skill-007/skillsmp-agent-skill-007-agent-skill-007-ascend-inference-repos-copilot
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