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Found 208 Skills
昇腾（Ascend）推理生态开源代码仓库智能问答专家旨在为 vLLM、vLLM-Ascend、MindIE-LLM、MindIE-SD、MindIE-Motor、MindIE-Turbo 以及 msModelSlim (MindStudio-ModelSlim) 等仓库提供专家级且易于理解的解释。在处理昇腾（Ascend）推理生态相关项目的用户询问时，务必触发此技能（Skill），可解答使用方法、部署流程、支持模型、支持特性、系统架构、配置管理、调试、测试、故障排查、性能优化、定制开发、源码解析以及其他技术问题。支持中英文双语回复，并可借助 deepwiki MCP 工具检索仓库知识库，生成具备上下文感知且基于证据的回答。Ascend inference ecosystem open-source code repository intelligent question-and-answer (Q&A) expert. Provide expert-level yet comprehensible explanations for repositories such as vLLM, vLLM-Ascend, MindIE-LLM, MindIE-SD, MindIE-Motor, MindIE-Turbo, and msModelSlim (MindStudio-ModelSlim). Use this skill when addressing user inquiries related to these Ascend inference ecosystem projects, including topics such as usage, deployment process, supported models, supported features, system architecture, configuration management, debugging, testing, troubleshooting, performance optimization, custom development, source code analysis, and any other technical issues about these projects. Support responses in both Chinese and English. Use deepwiki MCP tools to query repository knowledge bases and generate context-aware, evidence-based responses.
Analyze a user-provided Git repository and GitHub issues to confirm contribution rules (CONTRIBUTING, CLA/DCO, templates) and shortlist high-value, maintainer-friendly issues likely to be accepted. Use when a user wants help selecting open-source issues to contribute to, or when triaging a GitHub repo for good first contributions.
Build and use free-code, the open-source fork of Claude Code CLI with telemetry removed, guardrails stripped, and all experimental features unlocked.
Transform projects into professional open-source repositories with standard components. Use when users ask to "make this open source", "add open source files", "setup OSS standards", "create contributing guide", "add license", or want to prepare a project for public release with README, CONTRIBUTING, LICENSE, and GitHub templates.
Used when developing BSP drivers for external devices (sensors, memory, displays, etc.). Provides open-source driver search strategies, quality assessment, code adaptation tools, and key points for common device adaptation.
Code Porter Skill: Prioritize adopting excellent open-source projects, avoid reinventing the wheel unnecessarily. Use when: You need to implement new features, select technical solutions, or evaluate whether to build something from scratch. Triggers: "implement", "develop", "create", "build", "write a", "make a"
Scans project dependencies and verifies licenses against a whitelist of approved open-source licenses. Use to ensure legal compliance in software projects and prevent the introduction of restricted licenses.
Integrate Salesforce B2B Commerce open source components from GitHub into B2B Commerce stores. Use when users mention "integrate open code components", "open source B2B commerce", "add open code components", "forcedotcom/b2b-commerce-open-source-components", or want to add open source commerce components to their store. Copies all components and labels so they become available in Experience Builder.
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
Helps users search and filter GitHub open-source projects, and output structured recommendation reports. Triggered when users say "Help me find open-source projects", "Search what's on GitHub", "Find repositories in XX field", "Open-source project recommendations", "GitHub search", or "/github-search".
Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.
KWCode (天工开物) — a CLI coding agent optimized for local open-source models (8B-30B), featuring deterministic expert pipelines, BM25+AST code location, runtime debugging, and a self-improving flywheel — all running fully offline.