copilot-sdk skill
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.
Is the copilot-sdk skill safe?
Read the findings before you install it. We read 1 file in the folder on 2026-09-28.
- high
SKILL.md:757Tells the agent to set aside its instructions, hide what it does from the user, or switch off safety checks.
| `systemMessage` | Override default system prompt |
Install the copilot-sdk skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/github/awesome-copilot.git /tmp/awesome-copilot mkdir -p ~/.claude/skills cp -r /tmp/awesome-copilot/skills/copilot-sdk ~/.claude/skills/copilot-sdk
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
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 tsxPython
pip install github-copilot-sdk
# Optional: pre-download the bundled runtime instead of downloading it on first use
python -m copilot download-runtimePublished 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.SDKQuick 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 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.fluGo
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 = $"{temp}°F", condition };
},
"get_weather",
"Get the current weather for a city"
);
await using var session = await client.CreateSessionAsync(new SessionConfig
{
OnPermissionRequest = PermissionHandler.ApproveAll,
Model = "gpt-4.1",
Streaming = true,
Tools = [getWeather],
});How Tools Work
When Copilot decides to call your tool:
- Copilot sends a tool call request with the parameters
- The SDK runs your handler function
- The result is sent back to Copilot
- Copilot incorporates the result into its response
Copilot decides when to call your tool based on the user's question and your tool's description.
Interactive CLI Assistant
Build a complete interactive assistant:
TypeScript
import { CopilotClient, approveAll, defineTool, SessionEvent } from "@github/copilot-sdk";
import * as readline from "readline";
const getWeather = defineTool("get_weather", {
description: "Get the current weather for a city",
parameters: {
type: "object",
properties: {
city: { type: "string", description: "The city name" },
},
required: ["city"],
},
handler: async ({ city }) => {
const conditions = ["sunny", "cloudy", "rainy", "partly cloudy"];
const temp = Math.floor(Math.random() * 30) + 50;
const condition = conditions[Math.floor(Math.random() * conditions.length)];
return { city, temperature: `${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);
}
});
const rl = readline.createInterface({
input: process.stdin,
output: process.stdout,
});
console.log("WeatherPython
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:
conditions = ["sunny", "cloudy", "rainy", "partly cloudy"]
temp = random.randint(50, 80)
condition = random.choice(conditions)
return {"city": params.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()
MCP Server Integration
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