Awesome-omni-skill copilot-sdk

Build applications powered by GitHub Copilot using the Copilot SDK. Use when creating programmatic integrations with Copilot across Node.js/TypeScript, Python, Go, or .NET. Covers session management, custom tools, streaming, hooks, MCP servers, BYOK providers, session persistence, and custom agents. Requires GitHub Copilot CLI installed and a GitHub Copilot subscription (unless using BYOK).

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/copilot-sdk-techwavedev" ~/.claude/skills/diegosouzapw-awesome-omni-skill-copilot-sdk-1a7738 && rm -rf "$T"
manifest: skills/development/copilot-sdk-techwavedev/SKILL.md
source content

GitHub Copilot SDK

Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET.

Prerequisites

  • GitHub Copilot CLI installed and authenticated (
    copilot --version
    to verify)
  • GitHub Copilot subscription (Individual, Business, or Enterprise) — not required for BYOK
  • Runtime: Node.js 18+ / Python 3.8+ / Go 1.21+ / .NET 8.0+

Installation

LanguagePackageInstall
Node.js
@github/copilot-sdk
npm install @github/copilot-sdk
Python
github-copilot-sdk
pip install github-copilot-sdk
Go
github.com/github/copilot-sdk/go
go get github.com/github/copilot-sdk/go
.NET
GitHub.Copilot.SDK
dotnet add package GitHub.Copilot.SDK

Core Pattern: Client → Session → Message

All SDK usage follows this pattern: create a client, create a session, send messages.

Node.js / TypeScript

import { CopilotClient } from "@github/copilot-sdk";

const client = new CopilotClient();
const session = await client.createSession({ model: "gpt-4.1" });

const response = await session.sendAndWait({ prompt: "What is 2 + 2?" });
console.log(response?.data.content);

await client.stop();

Python

import asyncio
from copilot import CopilotClient

async def main():
    client = CopilotClient()
    await client.start()
    session = await client.create_session({"model": "gpt-4.1"})
    response = await session.send_and_wait({"prompt": "What is 2 + 2?"})
    print(response.data.content)
    await client.stop()

asyncio.run(main())

Go

client := copilot.NewClient(nil)
if err := client.Start(ctx); err != nil { log.Fatal(err) }
defer client.Stop()

session, _ := client.CreateSession(ctx, &copilot.SessionConfig{Model: "gpt-4.1"})
response, _ := session.SendAndWait(ctx, copilot.MessageOptions{Prompt: "What is 2 + 2?"})
fmt.Println(*response.Data.Content)

.NET

await using var client = new CopilotClient();
await using var session = await client.CreateSessionAsync(new SessionConfig { Model = "gpt-4.1" });
var response = await session.SendAndWaitAsync(new MessageOptions { Prompt = "What is 2 + 2?" });
Console.WriteLine(response?.Data.Content);

Streaming Responses

Enable real-time output by setting

streaming: true
and subscribing to delta events.

const session = await client.createSession({ model: "gpt-4.1", streaming: true });

session.on("assistant.message_delta", (event) => {
    process.stdout.write(event.data.deltaContent);
});
session.on("session.idle", () => console.log());

await session.sendAndWait({ prompt: "Tell me a joke" });

Python equivalent:

from copilot.generated.session_events import SessionEventType

session = await client.create_session({"model": "gpt-4.1", "streaming": True})

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({"prompt": "Tell me a joke"})

Event Subscription

MethodDescription
on(handler)
Subscribe to all events; returns unsubscribe function
on(eventType, handler)
Subscribe to specific event type (Node.js only)

Custom Tools

Define tools that Copilot can call to extend its capabilities.

Node.js

import { CopilotClient, defineTool } 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 ({ city }) => ({ city, temperature: "72°F", condition: "sunny" }),
});

const session = await client.createSession({
    model: "gpt-4.1",
    tools: [getWeather],
});

Python

from copilot.tools import define_tool
from pydantic import BaseModel, Field

class GetWeatherParams(BaseModel):
    city: str = Field(description="The city name")

@define_tool(description="Get the current weather for a city")
async def get_weather(params: GetWeatherParams) -> dict:
    return {"city": params.city, "temperature": "72°F", "condition": "sunny"}

session = await client.create_session({"model": "gpt-4.1", "tools": [get_weather]})

Go

type WeatherParams struct {
    City string `json:"city" jsonschema:"The city name"`
}

getWeather := copilot.DefineTool("get_weather", "Get weather for a city",
    func(params WeatherParams, inv copilot.ToolInvocation) (WeatherResult, error) {
        return WeatherResult{City: params.City, Temperature: "72°F"}, nil
    },
)

session, _ := client.CreateSession(ctx, &copilot.SessionConfig{
    Model: "gpt-4.1",
    Tools: []copilot.Tool{getWeather},
})

.NET

var getWeather = AIFunctionFactory.Create(
    ([Description("The city name")] string city) => new { city, temperature = "72°F" },
    "get_weather", "Get the current weather for a city");

await using var session = await client.CreateSessionAsync(new SessionConfig {
    Model = "gpt-4.1", Tools = [getWeather],
});

Hooks

Intercept and customize session behavior at key lifecycle points.

HookTriggerUse Case
onPreToolUse
Before tool executesPermission control, argument modification
onPostToolUse
After tool executesResult transformation, logging
onUserPromptSubmitted
User sends messagePrompt modification, filtering
onSessionStart
Session beginsAdd context, configure session
onSessionEnd
Session endsCleanup, analytics
onErrorOccurred
Error happensCustom error handling, retry logic

Example: Tool Permission Control

const session = await client.createSession({
    hooks: {
        onPreToolUse: async (input) => {
            if (["shell", "bash"].includes(input.toolName)) {
                return { permissionDecision: "deny", permissionDecisionReason: "Shell access not permitted" };
            }
            return { permissionDecision: "allow" };
        },
    },
});

Pre-Tool Use Output

FieldTypeDescription
permissionDecision
"allow"
|
"deny"
|
"ask"
Whether to allow the tool call
permissionDecisionReason
stringExplanation for deny/ask
modifiedArgs
objectModified arguments to pass
additionalContext
stringExtra context for conversation
suppressOutput
booleanHide tool output from conversation

MCP Server Integration

Connect to MCP servers for pre-built tool capabilities.

Remote HTTP Server

const session = await client.createSession({
    mcpServers: {
        github: { type: "http", url: "https://api.githubcopilot.com/mcp/" },
    },
});

Local Stdio Server

const session = await client.createSession({
    mcpServers: {
        filesystem: {
            type: "local",
            command: "npx",
            args: ["-y", "@modelcontextprotocol/server-filesystem", "/allowed/path"],
            tools: ["*"],
        },
    },
});

MCP Config Fields

FieldTypeDescription
type
"local"
|
"http"
Server transport type
command
stringExecutable path (local)
args
string[]Command arguments (local)
url
stringServer URL (http)
tools
string[]
["*"]
or specific tool names
env
objectEnvironment variables
cwd
stringWorking directory (local)
timeout
numberTimeout in milliseconds

Authentication

Methods (Priority Order)

  1. Explicit token
    githubToken
    in constructor
  2. Environment variables
    COPILOT_GITHUB_TOKEN
    GH_TOKEN
    GITHUB_TOKEN
  3. Stored OAuth — From
    copilot auth login
  4. GitHub CLI
    gh auth
    credentials

Programmatic Token

const client = new CopilotClient({ githubToken: process.env.GITHUB_TOKEN });

BYOK (Bring Your Own Key)

Use your own API keys — no Copilot subscription required.

const session = await client.createSession({
    model: "gpt-5.2-codex",
    provider: {
        type: "openai",
        baseUrl: "https://your-resource.openai.azure.com/openai/v1/",
        wireApi: "responses",
        apiKey: process.env.FOUNDRY_API_KEY,
    },
});
ProviderTypeNotes
OpenAI
"openai"
OpenAI API and compatible endpoints
Azure OpenAI
"azure"
Native Azure endpoints (don't include
/openai/v1
)
Azure AI Foundry
"openai"
OpenAI-compatible Foundry endpoints
Anthropic
"anthropic"
Claude models
Ollama
"openai"
Local models, no API key needed

Wire API: Use

"responses"
for GPT-5 series,
"completions"
(default) for others.


Session Persistence

Resume sessions across restarts by providing your own session ID.

// Create with explicit ID
const session = await client.createSession({
    sessionId: "user-123-task-456",
    model: "gpt-4.1",
});

// Resume later
const resumed = await client.resumeSession("user-123-task-456");
await resumed.sendAndWait({ prompt: "What did we discuss?" });

Session management:

const sessions = await client.listSessions();          // List all
await client.deleteSession("user-123-task-456");       // Delete
await session.destroy();                                // Destroy active

BYOK sessions: Must re-provide

provider
config on resume (keys are not persisted).

Infinite Sessions

For long-running workflows that may exceed context limits:

const session = await client.createSession({
    infiniteSessions: {
        enabled: true,
        backgroundCompactionThreshold: 0.80,
        bufferExhaustionThreshold: 0.95,
    },
});

Custom Agents

Define specialized AI personas:

const session = await client.createSession({
    customAgents: [{
        name: "pr-reviewer",
        displayName: "PR Reviewer",
        description: "Reviews pull requests for best practices",
        prompt: "You are an expert code reviewer. Focus on security, performance, and maintainability.",
    }],
});

System Message

Control AI behavior and personality:

const session = await client.createSession({
    systemMessage: { content: "You are a helpful assistant. Always be concise." },
});

Skills Integration

Load skill directories to extend Copilot's capabilities:

const session = await client.createSession({
    skillDirectories: ["./skills/code-review", "./skills/documentation"],
    disabledSkills: ["experimental-feature"],
});

Permission & Input Handlers

Handle tool permissions and user input requests programmatically:

const session = await client.createSession({
    onPermissionRequest: async (request) => {
        // Auto-approve git commands only
        if (request.kind === "shell") {
            return { approved: request.command.startsWith("git") };
        }
        return { approved: true };
    },
    onUserInputRequest: async (request) => {
        // Handle ask_user tool calls
        return { response: "yes" };
    },
});

External CLI Server

Connect to a separately running CLI instead of auto-managing the process:

copilot --headless --port 4321
const client = new CopilotClient({ cliUrl: "localhost:4321" });

Client Configuration

OptionTypeDescription
cliPath
stringPath to Copilot CLI executable
cliUrl
stringURL of external CLI server
githubToken
stringGitHub token for auth
useLoggedInUser
booleanUse stored CLI credentials (default: true)
logLevel
string
"none"
|
"error"
|
"warning"
|
"info"
|
"debug"
autoRestart
booleanAuto-restart CLI on crash (default: true)
useStdio
booleanUse stdio transport (default: true)

Session Configuration

OptionTypeDescription
model
stringModel to use (e.g.,
"gpt-4.1"
)
sessionId
stringCustom ID for resumable sessions
streaming
booleanEnable streaming responses
tools
Tool[]Custom tools
mcpServers
objectMCP server configurations
hooks
objectSession hooks
provider
objectBYOK provider config
customAgents
object[]Custom agent definitions
systemMessage
objectSystem message override
skillDirectories
string[]Directories to load skills from
disabledSkills
string[]Skills to disable
reasoningEffort
stringReasoning effort level
availableTools
string[]Restrict available tools
excludedTools
string[]Exclude specific tools
infiniteSessions
objectAuto-compaction config
workingDirectory
stringWorking directory

Debugging

Enable debug logging to troubleshoot issues:

const client = new CopilotClient({ logLevel: "debug" });

Common issues:

  • CLI not found
    → Install CLI or set
    cliPath
  • Not authenticated
    → Run
    copilot auth login
    or provide
    githubToken
  • Session not found
    → Don't use session after
    destroy()
  • Connection refused
    → Check CLI process, enable
    autoRestart

Key API Summary

LanguageClientSession CreateSendStop
Node.js
new CopilotClient()
client.createSession()
session.sendAndWait()
client.stop()
Python
CopilotClient()
client.create_session()
session.send_and_wait()
client.stop()
Go
copilot.NewClient(nil)
client.CreateSession()
session.SendAndWait()
client.Stop()
.NET
new CopilotClient()
client.CreateSessionAsync()
session.SendAndWaitAsync()
client.DisposeAsync()

References


🧠 AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Hybrid Memory Integration (Qdrant + BM25)

Before executing complex tasks with this skill:

python3 execution/memory_manager.py auto --query "<task summary>"

Decision Tree:

  • Cache hit? Use cached response directly — no need to re-process.
  • Memory match? Inject
    context_chunks
    into your reasoning.
  • No match? Proceed normally, then store results:
python3 execution/memory_manager.py store \
  --content "Description of what was decided/solved" \
  --type decision \
  --tags copilot-sdk <relevant-tags>

Note: Storing automatically updates both Vector (Qdrant) and Keyword (BM25) indices.

Agent Team Collaboration

  • Strategy: This skill communicates via the shared memory system.
  • Orchestration: Invoked by
    orchestrator
    via intelligent routing.
  • Context Sharing: Always read previous agent outputs from memory before starting.

Local LLM Support

When available, use local Ollama models for embedding and lightweight inference:

  • Embeddings:
    nomic-embed-text
    via Qdrant memory system
  • Lightweight analysis: Local models reduce API costs for repetitive patterns