所有 Skills

找到 8171 个 Skills

winmd-api-search

查找并探索 Windows 桌面 API。适合在开发需要系统/平台能力（如摄像头、文件访问、系统通知、UI 控件、AI/ML、传感器、网络连接等）的功能时使用。能够根据具体需求精准匹配目标 API，并获取完整的类型细节（包括方法、属性、事件及枚举值）。

github

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winui3-migration-guide

37Ktesting-qa

UWP 到 WinUI 3 迁移参考。将旧版 UWP API 映射到正确的 Windows App SDK 等效项，并附有前后代码片段。涵盖命名空间更改、线程处理（CoreDispatcher 到 DispatcherQueue）、窗口管理（CoreWindow 到 AppWindow）、对话框、选择器、共享、打印、后台任务以及最常见的 Copilot 代码生成错误。

github

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copilotkit-self-update

37Kagent-workflows

Use when the user wants to update, refresh, or reinstall the CopilotKit agent SKILLS (the SKILL.md files that teach this agent about CopilotKit). NOT for updating the CopilotKit codebase or project — this is specifically about refreshing the skills/knowledge this agent has loaded. Triggers on "update copilotkit skills", "update skills", "refresh skills", "skills are stale", "skills are outdated", "get latest skills", "my copilotkit knowledge is wrong", "copilotkit APIs changed", "skills seem old", "wrong API names", "reinstall skills", "skills not working right", "update your copilotkit knowledge".

copilotkit

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react-core

37Kfrontend

@copilotkit/react-core — mount the CopilotKit provider (from @copilotkit/react-core/v2) in a Next.js App Router / React Router v7 / TanStack Start / SPA app, drop in CopilotChat/CopilotPopup/CopilotSidebar (v2 chat components ship from react-core/v2 — NOT react-ui, which is CSS-only in v2), access and subscribe to agents with useAgent / useAgentContext / useCapabilities, switch between multiple agents, manage durable Intelligence threads with useThreads, register browser-side tools via useFrontendTool, render tool calls with useRenderTool / useComponent / useDefaultRenderTool, gate execution with useHumanInTheLoop, wire file attachments with useAttachments, configure suggestion pills, and register activity- and custom-message renderers. publicLicenseKey is canonical (publicApiKey is deprecated alias). Load the reference under references/ that matches your task.

copilotkit

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copilotkit-agui

37Kfrontend

Use when building custom agent backends, implementing the AG-UI protocol, debugging streaming issues, or understanding how agents communicate with frontends. Covers event types, SSE transport, AbstractAgent/HttpAgent patterns, state synchronization, tool calls, and human-in-the-loop flows.

copilotkit

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a2ui-renderer

37Kfrontend

Render A2UI (Agent-to-UI declarative surfaces) in CopilotKit v2. Enable the runtime via CopilotRuntime({ a2ui: {...} }), then enable the provider via <CopilotKit a2ui={{ theme }}>. Auto-activates via /info — do NOT manually pass renderActivityMessages. createA2UIMessageRenderer ships from @copilotkit/react-core/v2; low-level primitives (A2UIProvider, A2UIRenderer, createCatalog) ship from @copilotkit/a2ui-renderer. Covers theme customization, createSurface dedup, action-bridge try/finally cleanup. Load when an agent emits A2UI operations (createSurface / updateComponents / updateDataModel), when wiring a2ui on CopilotRuntime, or when styling A2UI surfaces.

copilotkit

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copilotkit-debug

37Kagent-workflows

Use when diagnosing CopilotKit issues -- runtime connectivity failures, agent not responding, streaming errors, tool execution problems, transcription failures, version mismatches, and AG-UI event tracing.

copilotkit

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runtime

37Kdevops-cloud

@copilotkit/runtime — mount a fetch-native CopilotRuntime on any JS server, wire middleware, pick an AgentRunner, instantiate BuiltInAgent (Factory Mode with TanStack AI is the preferred default) or plug in any of 12 external agent frameworks (Mastra, LangGraph, CrewAI Crews/Flows, PydanticAI, ADK, LlamaIndex, Agno, AWS Strands, MS Agent Framework, AG2, A2A), enable Intelligence mode for durable threads + websocket, register server-side tools via defineTool, and wire voice transcription. Uses the fetch-based createCopilotRuntimeHandler primitive — the Express/Hono adapters are discouraged. Load the reference under references/ that matches your task.

copilotkit

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noob-mode

37Kbackend-api

面向非技术Copilot CLI用户的通俗英语翻译层。将每个审批提示、错误消息和技术输出翻译成清晰、无术语的英语，并带有颜色编码的风险指示。

github

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statistical-analysis

37Ktesting-qa

Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.

k-dense-ai

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paper-lookup

37Kresearch-knowledge

Search 11 academic literature APIs for papers, preprints, citations, and open-access full text, and return results with reproducible provenance. Covers PubMed, PMC (full text), Europe PMC (full-text and preprint search), bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall. Use when searching for papers, citations, DOI/PMID/arXiv lookups, abstracts, full text, open-access PDFs, preprints, citation graphs, author publications, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X", "look up this DOI", "who cites this paper", or "get me the PDF".

k-dense-ai

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scientific-slides

37Kresearch-knowledge

Build slide decks and presentations for research talks. Use this for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer.

k-dense-ai

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citation-management

37Kresearch-knowledge

Comprehensive citation management for academic research. Search OpenAlex, PubMed, and Google Scholar for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify citation information, convert DOIs to BibTeX, or ensure reference accuracy in scientific writing.

k-dense-ai

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scientific-schematics

37Kresearch-knowledge

Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.

k-dense-ai

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matplotlib

37Kdesign-ui

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

k-dense-ai

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peer-review

37Ksecurity

Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Use for authorized review of scientific manuscripts, protocols, preprints, or research proposals; reporting-guideline selection; claim–evidence checks; methods, statistics, reproducibility, ethics, figure/table, and citation critique; or revision-response planning.

k-dense-ai

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datanalysis-credit-risk

37Kprompting-reasoning

信用风险数据清洗与变量筛选流程，用于贷前建模。适用于需要对原始信贷数据进行质量评估、缺失值分析或建模前变量选择的场景。涵盖数据加载与格式化、异常周期过滤、缺失率计算、高缺失变量剔除、低IV变量过滤、高PSI变量剔除、空重要性去噪、高相关变量剔除以及清洗报告生成。应用场景包括信用风险数据清洗、变量筛选、贷前建模预处理。

github

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msstore-cli

37Ksecurity

Microsoft Store 开发者命令行工具（msstore），用于将 Windows 应用程序发布到 Microsoft Store。当需要配置商店凭据、查看商店应用列表、检查提交状态、发布应用提交、管理 package flight（测试分发包）、配置商店发布的 CI/CD 流水线或对接 Partner Center 时使用。支持 Windows App SDK/WinUI、UWP、.NET MAUI、Flutter、Electron、React Native 及 PWA 应用。

github

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import-infrastructure-as-code

37Kdevops-cloud

使用 Azure CLI 发现和 Azure Verified Modules (AVM) 将现有 Azure 资源导入 Terraform。当需要逆向工程实时 Azure 基础设施、从现有订阅/资源组/资源 ID 生成基础设施即代码、映射依赖关系、从下载的模块源推导精确导入地址、防止配置漂移，并生成基于 AVM 的 Terraform 文件（可用于跨任何 Azure 资源类型的验证和规划）时使用。

github

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mentoring-juniors

37Ktesting-qa

针对初级开发者和 AI 新手的苏格拉底式导师指导。只通过提问引导，绝不直接给答案。触发词："help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn't this work", "why does not this work", "I'm a beginner", "Im a beginner", "I'm learning", "Im learning", "I'm new to this", "Im new to this", "walk me through", "how does this work", "what's wrong with my code", "what's wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode"。包含渐进式提示系统、教学技巧与成功衡量指标。

github

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ida-reverse

37Kwriting-content

IDA Pro 逆向分析辅助技能。当用户提到逆向、反编译、分析二进制/PE/ELF/APK/DLL/SO、破解、找密码、漏洞分析、病毒分析、firmware 固件分析，或需要分析 exe/dll/so/elf/macho/sys 等文件时，务必使用此技能。 Ensure to use this skill when the user wants to analyze any binary file, regardless of whether they explicitly mention "IDA" or "reverse engineering". This includes requests like "看看这个exe", "分析这个dll", "帮我破解", "找一下密码", "这个软件怎么注册", etc. Use the bundled scripts (scripts/start.ps1, scripts/open.ps1) for deterministic server management and file opening — do NOT write ad-hoc PowerShell commands for these operations.