Loading...
Loading...
Found 5,143 Skills
Build AI copilots, chatbots, and agentic UIs in React and Next.js using CopilotKit. Use this skill when the user wants to add an AI assistant, copilot, chat interface, AI-powered textarea, or agentic UI to their app. Covers setup, hooks (useCopilotAction, useCopilotReadable, useCoAgent, useAgent), chat components (CopilotPopup, CopilotSidebar, CopilotChat), generative UI, human-in-the-loop, CoAgents with LangGraph, AG-UI protocol, MCP Apps, and Python SDK integration. Triggers on CopilotKit, copilotkit, useCopilotAction, useCopilotReadable, useCoAgent, useAgent, CopilotRuntime, CopilotChat, CopilotSidebar, CopilotPopup, CopilotTextarea, AG-UI, agentic frontend, in-app AI copilot, AI assistant React, chatbot React, useFrontendTool, useRenderToolCall, useDefaultTool, useCoAgentStateRender, useLangGraphInterrupt, useCopilotChat, useCopilotAdditionalInstructions, useCopilotChatSuggestions, useHumanInTheLoop, CopilotTask, copilot runtime, LangGraphAgent, BasicAgent, BuiltInAgent, CopilotKitRemoteEndpoint, A2UI, MCP Apps, AI textarea, AI form completion, add AI to React app.
This skill should be used when checking for naming conflicts between local skills (~/.claude/skills) and plugin-provided skills (~/.claude/plugins). Use to identify duplicate or similarly named skills that may cause inconsistent agent behavior.
How to create and maintain agent skills in .agents/skills/. Use when creating a new SKILL.md, writing skill descriptions, choosing frontmatter fields, or deciding what content belongs in a skill vs AGENTS.md. Covers the supported spec fields, description writing, naming conventions, and the relationship between always-loaded AGENTS.md and on-demand skills.
Analyze OpenCode conversation history to identify themes and patterns in user messages. Use when asked to analyze conversations, find themes, review how a user steers agents, or extract insights from session history.
Consolidate agent output results into structured final output, supporting multiple formats. Suitable for consolidating analysis reports and generating structured reports
Execute orchestrate multi-agent systems with handoffs, routing, and workflows across AI providers. Use when building complex AI systems requiring agent collaboration, task delegation, or workflow coordination. Trigger with phrases like "create multi-agent system", "orchestrate agents", or "coordinate agent workflows".
Build production-ready AI agents using Google's Agent Development Kit with AI assistant integration, React patterns, multi-agent orchestration, and comprehensive tool libraries. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Interact with Moltbook social network for AI agents. Post, reply, browse, and analyze engagement. Use when the user wants to engage with Moltbook, check their feed, reply to posts, or track their activity on the agent social network.
Upload files to the cloud and get shareable public URLs using stableupload.dev (x402 micropayments). USE FOR: - Uploading files to get public URLs - Sharing files via download links - Hosting images, documents, or any file type - Making files publicly accessible for 6 months TRIGGERS: - "upload this", "share this file", "get me a link" - "host this file", "make this downloadable" - "public URL", "download link", "put online" - "share file", "file hosting", "upload file" ALWAYS use `npx agentcash fetch` for stableupload.dev endpoints — never curl or WebFetch for the purchase step.
AI代理的浏览器自动化CLI。在用户需要与网站交互时使用，包括导航页面、填写表单、单击按钮、截屏、提取数据、测试Web应用或自动执行任何浏览器任务。触发器包括“打开网站”、“填写表单”、“单击按钮”、“截屏”、“从页面中抓取数据”、“测试此Web应用”、“登录到网站”、“自动浏览器操作”或任何需要编程Web交互的任务。
Visual HTML canvas sandbox for agent-driven UI and live previews
Interactive backlog grooming. Explore, brainstorm, discuss, then synthesize. Orchestrates agents and issue-creator skills. Creates prioritized GitHub issues. Enforces Misty Step org-wide standards.