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Agent skills
ai-skills

Topic: ai-skills

5,410 skills in this topic.

senior-ml-engineer World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.
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senior-prompt-engineer World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
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onvifscan ONVIF device security scanner for testing authentication and brute-forcing credentials. Use when you need to assess security of IP cameras or ONVIF-enabled devices.
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evaluation This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.
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picocom Use picocom to interact with IoT device UART consoles for pentesting operations including device enumeration, vulnerability discovery, bootloader manipulation, and gaining root shells. Use when the user needs to interact with embedded devices, IoT hardware, or serial consoles.
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telnetshell Use telnet to interact with IoT device shells for pentesting operations including device enumeration, vulnerability discovery, credential testing, and post-exploitation. Use when the user needs to interact with network-accessible shells, IoT devices, or telnet services.
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wsdiscovery WS-Discovery protocol scanner for discovering and enumerating ONVIF cameras and IoT devices on the network. Use when you need to discover ONVIF devices, cameras, or WS-Discovery enabled equipment on a network.
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context-optimization This skill should be used when the user asks to "optimize context", "reduce token costs", "improve context efficiency", "implement KV-cache optimization", "partition context", or mentions context limits, observation masking, context budgeting, or extending effective context capacity.
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techdoc-search-and-orchestrate 【强制】所有技术文档查询必须使用本技能，禁止在主对话中直接使用 mcp__context7-mcp 工具。触发关键词：查询/学习/了解某个库或框架的文档、API用法、配置参数、错误解释、版本差异、代码示例、最佳实践。本技能通过 context7-researcher agent 执行查询，避免大量文档内容污染主对话上下文，保持 token 效率。
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zinc-database Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.
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exa-cli 使用 Exa 搜索与代码上下文命令行进行信息检索与编程资料检索。适用于需要从实时网页获取资料、定位权威来源、或查询具体代码示例/库用法的任务（如技术调研、API 使用方式确认、示例代码查找）。
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fetch-url 渲染网页 URL，去噪提取正文并输出为 Markdown（默认）或其他格式/原始 HTML，以减少 Token。
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zlibrary-to-notebooklm 自动从 Z-Library 下载书籍并上传到 Google NotebookLM。支持 PDF/EPUB 格式，自动转换，一键创建知识库。
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github-pr-issue 查看/更新 GitHub Issue、PR（含评论与 diff），并按团队规范非交互创建或修改 PR；涉及 GitHub Issue/PR 的操作时使用。
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gitlab-mr-issue 查看/更新 GitLab Issue、MR（含评论与 diff），并按团队规范非交互创建或修改 MR/Issue；涉及 GitLab（含自建实例）Issue/MR 的操作时使用。
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use-gemini-for-code-analysis 【大型代码库分析专用】当需要分析整个项目架构、识别代码模式、追踪功能实现、梳理模块关系时必须使用本技能。触发关键词：分析整个项目/代码库、架构梳理、模块划分、代码模式识别、功能追踪、全局扫描。本技能通过 Gemini CLI 快速扫描完整代码库，提供 AI 驱动的架构洞察和代码分析，大幅节省手动探索时间。仅返回原始分析结果，不做二次解读。
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golang-lo Go >= 1.18 项目中希望用 samber/lo（Lodash 风格泛型库）简化集合/映射/字符串、错误处理、重试/节流/防抖、通道并发或指针空值场景时使用。
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pwdebug 用于需要通过命令行操作真实浏览器实例进行前端调试（如导航、执行 JS、截图、元素拾取、控制台日志）且希望跨多次命令复用同一浏览器会话的场景。
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docstring Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
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skill-writer Guide users through creating Agent Skills for Claude Code. Use when the user wants to create, write, author, or design a new Skill, or needs help with SKILL.md files, frontmatter, or skill structure.
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deep-search-and-insight-synthesize 【深度调研专用】当需要系统性调研、多产品对比、深度分析、技术选型、趋势分析时必须使用本技能。触发关键词：调研、对比、分析、评估、选型、趋势、综合报告、多源验证。通过 3 层深度搜索（阅读多个网页）+ 多源交叉验证，提供比普通 WebSearch 更全面、更准确的研究结果和深度洞察。禁止用普通搜索工具替代深度调研任务。
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bug-diagnose-and-root-cause-and-fix 【Bug 诊断专用】当遇到程序错误、异常行为、性能问题、功能故障时必须使用本技能。触发关键词：报错、Bug、问题、异常、故障、不工作、诊断、排查、修复。本技能提供系统性根因分析，输出详细诊断报告和可执行修复方案，包含代码位置引用、步骤指导、注意事项。仅提供分析和方案，不直接修改代码。
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browser-task-and-automation-and-delegation 【强制】所有浏览器操作必须使用本技能，禁止在主对话中直接使用 mcp__chrome-devtools 工具。触发关键词：打开/访问/浏览网页、点击/填写/提交表单、截图/快照、性能分析、自动化测试、数据采集/爬取、网络模拟。本技能通过 chrome-devtools-expert agent 执行浏览器操作，避免大量页面快照、截图、网络请求数据污染主对话上下文。
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ticktick-cli 使用 Python CLI 与 Dida365 Open API 交互以管理滴答清单任务/项目，适用于需要通过脚本或命令行调用滴答清单接口的场景（如项目/任务的查询、创建、更新、完成、删除）。
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