copilot-sdk
Build agentic applications with GitHub Copilot SDK
Install / Use
npx skills add github/awesome-copilot --skill copilot-sdkInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Our assessment of copilot-sdk
copilot-sdk scores 93/100 on our quality scale, 418th of 1,409 Automation skills we index (top 30%).
Its SKILL.md is 24 KB long, well organised into 64 sections with 41 code examples: a thorough specification that gives an agent plenty to work with.
With 39,348 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 2 days ago, so copilot-sdk is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
copilot-sdk compared with similar skills
All 4 of these similar skills score higher than copilot-sdk; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| copilot-sdk (this skill)by github | 93 | 39.3k | 2d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 85.6k | 11d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.9k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.3k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.1k | today | CLAUDE.md |
Frequently asked questions
- How do I install copilot-sdk?
- Run
npx skills add github/awesome-copilot --skill copilot-sdk. The install tabs above show the steps for each supported agent. - Which AI agents does copilot-sdk work with?
- It is written for GitHub Copilot, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is copilot-sdk safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is copilot-sdk still maintained?
- The repository was last updated 2 days ago, so copilot-sdk is actively maintained.
Skill content
View source on GitHubname: copilot-sdk description: Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
GitHub Copilot SDK
Embed Copilot's agentic workflows in any application using Python, TypeScript, Go, or .NET.
Overview
The GitHub Copilot SDK exposes the same engine behind Copilot CLI: a production-tested agent runtime you can invoke programmatically. No need to build your own orchestration - you define agent behavior, Copilot handles planning, tool invocation, file edits, and more.
Prerequisites
- GitHub Copilot access and an authenticated environment
- Language runtime: Node.js ^20.19.0 or >=22.12.0, Python 3.11+, Go 1.24+, or a .NET Standard 2.0-compatible implementation
- Go: GitHub Copilot CLI installed and authenticated (Installation guide)
The TypeScript, Python, and .NET packages use a bundled Copilot runtime by default, so they do not need a separate CLI installation.
Installation
Node.js/TypeScript
mkdir copilot-demo && cd copilot-demo
npm init -y --init-type module
npm install @github/copilot-sdk tsx
Python
pip install github-copilot-sdk
# Optional: pre-download the bundled runtime instead of downloading it on first use
python -m copilot download-runtime
Published Python wheels include a pinned runtime version. The pre-download command caches that runtime locally; if skipped, the SDK attempts to download it automatically on first use.
Go
mkdir copilot-demo && cd copilot-demo
go mod init copilot-demo
go get github.com/github/copilot-sdk/go
.NET
dotnet new console -n CopilotDemo && cd CopilotDemo
dotnet add package GitHub.Copilot.SDK
Quick Start
TypeScript
import { CopilotClient, approveAll } from "@github/copilot-sdk";
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
});
const response = await session.sendAndWait({ prompt: "What is 2 + 2?" });
console.log(response?.data.content);
await client.stop();
process.exit(0);
Run: npx tsx index.ts
Python
import asyncio
from copilot import CopilotClient, PermissionHandler
async def main():
async with CopilotClient() as client:
async with await client.create_session(
on_permission_request=PermissionHandler.approve_all,
model="gpt-4.1",
) as session:
response = await session.send_and_wait("What is 2 + 2?")
print(response.data.content)
asyncio.run(main())
Go
package main
import (
"fmt"
"log"
"os"
copilot "github.com/github/copilot-sdk/go"
)
func main() {
client := copilot.NewClient(nil)
if err := client.Start(); err != nil {
log.Fatal(err)
}
defer client.Stop()
session, err := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
})
if err != nil {
log.Fatal(err)
}
response, err := session.SendAndWait(copilot.MessageOptions{Prompt: "What is 2 + 2?"}, 0)
if err != nil {
log.Fatal(err)
}
fmt.Println(*response.Data.Content)
os.Exit(0)
}
.NET (C#)
using GitHub.Copilot.SDK;
await using var client = new CopilotClient();
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
});
var response = await session.SendAndWaitAsync(new MessageOptions { Prompt = "What is 2 + 2?" });
Console.WriteLine(response?.Data.Content);
Run: dotnet run
Streaming Responses
Enable real-time output for better UX:
TypeScript
import { CopilotClient, approveAll, SessionEvent } from "@github/copilot-sdk";
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
streaming: true,
});
session.on((event: SessionEvent) => {
if (event.type === "assistant.message_delta") {
process.stdout.write(event.data.deltaContent);
}
if (event.type === "session.idle") {
console.log(); // New line when done
}
});
await session.sendAndWait({ prompt: "Tell me a short joke" });
await client.stop();
process.exit(0);
Python
import asyncio
import sys
from copilot import CopilotClient, PermissionHandler
from copilot.generated.session_events import SessionEventType
async def main():
async with CopilotClient() as client:
async with await client.create_session(
on_permission_request=PermissionHandler.approve_all,
model="gpt-4.1",
streaming=True,
) as session:
def handle_event(event):
if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
sys.stdout.write(event.data.delta_content)
sys.stdout.flush()
if event.type == SessionEventType.SESSION_IDLE:
print()
session.on(handle_event)
await session.send_and_wait("Tell me a short joke")
asyncio.run(main())
Go
session, err := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
Streaming: true,
})
session.On(func(event copilot.SessionEvent) {
if event.Type == "assistant.message_delta" {
fmt.Print(*event.Data.DeltaContent)
}
if event.Type == "session.idle" {
fmt.Println()
}
})
_, err = session.SendAndWait(copilot.MessageOptions{Prompt: "Tell me a short joke"}, 0)
.NET
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
Streaming = true,
});
session.On(ev =>
{
if (ev is AssistantMessageDeltaEvent deltaEvent)
Console.Write(deltaEvent.Data.DeltaContent);
if (ev is SessionIdleEvent)
Console.WriteLine();
});
await session.SendAndWaitAsync(new MessageOptions { Prompt = "Tell me a short joke" });
Custom Tools
Define tools that Copilot can invoke during reasoning. When you define a tool, you tell Copilot:
- What the tool does (description)
- What parameters it needs (schema)
- What code to run (handler)
TypeScript (JSON Schema)
import { CopilotClient, approveAll, defineTool, SessionEvent } from "@github/copilot-sdk";
const getWeather = defineTool("get_weather", {
description: "Get the current weather for a city",
parameters: {
type: "object",
properties: {
city: { type: "string", description: "The city name" },
},
required: ["city"],
},
handler: async (args: { city: string }) => {
const { city } = args;
// In a real app, call a weather API here
const conditions = ["sunny", "cloudy", "rainy", "partly cloudy"];
const temp = Math.floor(Math.random() * 30) + 50;
const condition = conditions[Math.floor(Math.random() * conditions.length)];
return { city, temperature: `${temp}°F`, condition };
},
});
const client = new CopilotClient();
const session = await client.createSession({
onPermissionRequest: approveAll,
model: "gpt-4.1",
streaming: true,
tools: [getWeather],
});
session.on((event: SessionEvent) => {
if (event.type === "assistant.message_delta") {
process.stdout.write(event.data.deltaContent);
}
});
await session.sendAndWait({
prompt: "What's the weather like in Seattle and Tokyo?",
});
await client.stop();
process.exit(0);
Python (Pydantic)
import asyncio
import random
import sys
from copilot import CopilotClient, PermissionHandler
from copilot.tools import define_tool
from copilot.generated.session_events import SessionEventType
from pydantic import BaseModel, Field
class GetWeatherParams(BaseModel):
city: str = Field(description="The name of the city to get weather for")
@define_tool(description="Get the current weather for a city")
async def get_weather(params: GetWeatherParams) -> dict:
city = params.city
conditions = ["sunny", "cloudy", "rainy", "partly cloudy"]
temp = random.randint(50, 80)
condition = random.choice(conditions)
return {"city": city, "temperature": f"{temp}°F", "condition": condition}
async def main():
async with CopilotClient() as client:
async with await client.create_session(
on_permission_request=PermissionHandler.approve_all,
model="gpt-4.1",
streaming=True,
tools=[get_weather],
) as session:
def handle_event(event):
if event.type == SessionEventType.ASSISTANT_MESSAGE_DELTA:
sys.stdout.write(event.data.delta_content)
sys.stdout.flush()
session.on(handle_event)
await session.send_and_wait(
"What's the weather like in Seattle and Tokyo?"
)
asyncio.run(main())
Go
type WeatherParams struct {
City string `json:"city" jsonschema:"The city name"`
}
type WeatherResult struct {
City string `json:"city"`
Temperature string `json:"temperature"`
Condition string `json:"condition"`
}
getWeather := copilot.DefineTool(
"get_weather",
"Get the current weather for a city",
func(params WeatherParams, inv copilot.ToolInvocation) (WeatherResult, error) {
conditions := []string{"sunny", "cloudy", "rainy", "partly cloudy"}
temp := rand.Intn(30) + 50
condition := conditions[rand.Intn(len(conditions))]
return WeatherResult{
City: params.City,
Temperature: fmt.Sprintf("%d°F", temp),
Condition: condition,
}, nil
},
)
session, _ := client.CreateSession(&copilot.SessionConfig{
OnPermissionRequest: copilot.PermissionHandler.ApproveAll,
Model: "gpt-4.1",
Streaming: true,
Tools: []copilot.Tool{getWeather},
})
.NET (Microsoft.Extensions.AI)
using GitHub.Copilot.SDK;
using Microsoft.Extensions.AI;
using System.ComponentModel;
var getWeather = AIFunctionFactory.Create(
([Description("The city name")] string city) =>
{
var conditions = new[] { "sunny", "cloudy", "rainy", "partly cloudy" };
var temp = Random.Shared.Next(50, 80);
var condition = conditions[Random.Shared.Next(conditions.Length)];
return new { city, temperature = $"{temp}°F", condition };
},
"get_weather",
"Get the current weather for a city"
);
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
Streaming = true,
Tools = [getWeather],
});
How Tools Work
When Copilot decides to call your tool:
- Copilot sends a tool call request with the parameters
- The SDK runs your handler function
- The result is sent back to Copilot
- Copilot incorporates the result into its response
Copilot decides when to call your tool based on the user's question and your tool's description.
Interactive CLI Assistant
Build a complete interactive assistant:
TypeScript
import { CopilotClient, approveAll, defineTool, SessionEvent } from "@github/copilot-sdk";
import * as readline from "readline";
const getWeather = defineTool("get_weather", {
description: "Get the current weather for a city",
parameters: {
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
