copilotkit/skills · Archived

copilotkit-develop

Use when building AI-powered features with CopilotKit v2 -- adding chat interfaces, registering frontend tools, sharing application context with agents, handling agent interrupts, and working with the CopilotKit runtime.

First seen Mar 28, 2026

Installation

$ npx skills add copilotkit/skills --skill copilotkit-develop

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 38
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,414 B
  • docs SUMMARY.md 246 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 544 installs

SKILL.md

CopilotKit v2 Development Skill

Live Documentation (MCP)

This plugin includes an MCP server (copilotkit-docs) that provides search-docs and search-code tools for querying live CopilotKit documentation and source code.

  • Claude Code: Auto-configured by the plugin's .mcp.json -- no setup needed.
  • Codex: Requires manual configuration. See the [copilotkit-debug skill](../copilotkit-debug/SKILL.md#mcp-setup) for setup instructions.

Architecture Overview

CopilotKit v2 is built on the AG-UI protocol (@ag-ui/client / @ag-ui/core). The stack has three layers:

  1. Runtime (@copilotkit/runtime) -- Server-side. Hosts agents, handles SSE/Intelligence transport, middleware, transcription.
  2. Core (@copilotkit/core) -- Shared state management, tool registry, suggestion engine. Not imported directly by apps.
  3. React (@copilotkit/react) -- Provider, chat components, hooks. Re-exports everything from @ag-ui/client so apps need only one import.

Workflow

1. Set Up the Runtime (Server)

Create a CopilotRuntime (or the explicit CopilotSseRuntime / CopilotIntelligenceRuntime) and expose it via createCopilotEndpoint (Hono) or createCopilotEndpointExpress (Express).

import { CopilotRuntime, createCopilotEndpoint } from "@copilotkit/runtime";
import { LangGraphAgent } from "@ag-ui/langgraph";

const runtime = new CopilotRuntime({
  agents: {
    myAgent: new LangGraphAgent({ /* ... */ }),
  },
});

const app = createCopilotEndpoint({
  runtime,
  basePath: "/api/copilotkit",
});

2. Wrap Your App with the Provider (Client)

import { CopilotKitProvider } from "@copilotkit/react";

function App() {
  return (
    <CopilotKitProvider runtimeUrl="/api/copilotkit">
      <YourApp />
    </CopilotKitProvider>
  );
}

3. Add a Chat UI

Use <CopilotChat>, <CopilotPopup>, or <CopilotSidebar>:

import { CopilotChat } from "@copilotkit/react";

function ChatPage() {
  return <CopilotChat agentId="myAgent" />;
}

4. Register Frontend Tools

Let the agent call functions in the browser:

import { useFrontendTool } from "@copilotkit/react";
import { z } from "zod";

useFrontendTool({
  name: "highlightCell",
  description: "Highlight a spreadsheet cell",
  parameters: z.object({ row: z.number(), col: z.number() }),
  handler: async ({ row, col }) => {
    highlightCell(row, col);
    return "done";
  },
});

5. Share Application Context

Provide runtime data to the agent:

import { useAgentContext } from "@copilotkit/react";

useAgentContext({
  description: "The user's current shopping cart",
  value: cart, // any JSON-serializable value
});

6. Handle Agent Interrupts

When an agent pauses for human input:

import { useInterrupt } from "@copilotkit/react";

useInterrupt({
  render: ({ event, resolve }) => (
    <div>
      <p>{event.value.question}</p>
      <button onClick={() => resolve({ approved: true })}>Approve</button>
    </div>
  ),
});

7. Render Tool Calls in Chat

Show custom UI when tools execute:

import { useRenderTool } from "@copilotkit/react";
import { z } from "zod";

useRenderTool({
  name: "searchDocs",
  parameters: z.object({ query: z.string() }),
  render: ({ status, parameters, result }) => {
    if (status === "executing") return <Spinner>Searching {parameters.query}...</Spinner>;
    if (status === "complete") return <Results data={result} />;
    return <div>Preparing...</div>;
  },
}, []);

Quick Reference: Hooks

Hook Purpose
useFrontendTool Register a tool the agent can call in the browser
useComponent Register a React component as a chat-rendered tool (convenience wrapper around useFrontendTool)
useAgentContext Share JSON-serializable application state with the agent
useAgent Get the AbstractAgent instance for an agent ID; subscribe to message/state/run-status changes
useInterrupt Handle on_interrupt events from agents with render + optional handler/filter
useHumanInTheLoop Register a tool that pauses execution until the user responds via a rendered UI
useRenderTool Register a renderer for tool calls (by name or wildcard "*")
useDefaultRenderTool Register a wildcard "*" renderer using the built-in expandable card UI
useRenderToolCall Internal hook returning a function to resolve the correct renderer for a given tool call
useRenderActivityMessage Internal hook for rendering activity messages by type
useRenderCustomMessages Internal hook for rendering custom message decorators
useSuggestions Read the current suggestion list and control reload/clear
useConfigureSuggestions Register static or dynamic (LLM-generated) suggestion configs
useThreads List, rename, archive, and delete Intelligence platform threads

Quick Reference: Components

Component Purpose
CopilotKitProvider Root provider -- configures runtime URL, headers, agents, error handler
CopilotChat Full chat interface connected to an agent (inline layout)
CopilotPopup Chat in a floating popup with toggle button
CopilotSidebar Chat in a collapsible sidebar with toggle button
CopilotChatView Headless chat view with slots for message view, input, scroll, suggestions
CopilotChatInput Chat input textarea with send/stop/transcribe controls
CopilotChatMessageView Renders the message list
CopilotChatSuggestionView Renders suggestion pills

Quick Reference: Runtime

Export Purpose
CopilotRuntime Auto-detecting runtime (delegates to SSE or Intelligence)
CopilotSseRuntime Explicit SSE-mode runtime
CopilotIntelligenceRuntime Intelligence-mode runtime with durable threads
createCopilotEndpoint Create a Hono app with all CopilotKit routes
createCopilotEndpointExpress Create an Express router with all CopilotKit routes
CopilotKitIntelligence Intelligence platform client configuration