agentleFS
bongartzdiazbongartzdiaz/agent-skills/skills/copilot-sdk/SKILL.md

copilot-sdk

Skill0 starsChanged 10 months agoCC0-1.0View on GitHub

This skill provides guidance for creating agents and applications with the GitHub Copilot SDK. It should be used when the user wants to create, modify, or work on software that uses the GitHub Copilot SDK in TypeScript, Python, Go, or .NET. The skill covers SDK usage patterns, CLI configuration, custom tools, MCP servers, and custom agents.

  • Installs packages

16 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use find-skills and security-review.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • VercelSkill

    find-skills

    Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

    Also in 3 projects that use this

  • SentrySkill

    security-review

    Finds exploitable application security vulnerabilities in code changes. Use for Warden security scans, appsec review, OWASP-style checks, authentication or authorization bugs, injection, XSS, SSRF, path traversal, secrets, unsafe crypto, webhook verification, open redirects, or sensitive data exposure.

    Also in 3 projects that use this

The file

Files
SKILL.md

GitHub Copilot SDK

Overview

The GitHub Copilot SDK is a multi-platform agent runtime that embeds Copilot's agentic workflows into applications. It exposes the same engine behind Copilot CLI, enabling programmatic invocation without requiring custom orchestration development.

Status: Technical Preview (suitable for development and testing)

Supported Languages: TypeScript/Node.js, Python, Go, .NET

Primary Documentation

Language-Specific SDK Docs

CLI and Configuration Docs


Prerequisites

  1. GitHub Copilot Subscription - Pro, Pro+, Business, or Enterprise
  2. GitHub Copilot CLI - Installed and authenticated (copilot --version)
  3. Runtime: Node.js 18+, Python 3.8+, Go 1.21+, or .NET 8.0+

Installation

LanguageCommand
TypeScript/Node.jsnpm install @github/copilot-sdk
Pythonpip install github-copilot-sdk
Gogo get github.com/github/copilot-sdk/go
.NETdotnet add package GitHub.Copilot.SDK

Architecture

Application → SDK Client → JSON-RPC → Copilot CLI (server mode)

The SDK manages CLI lifecycle automatically. External server connections supported via cliUrl / cli_url.


Quick Start (TypeScript)

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

const client = new CopilotClient();
await client.start();

const session = await client.createSession({ model: "gpt-5" });

// Register handler BEFORE send()
session.on((event) => {
  if (event.type === "assistant.message") {
    console.log(event.data.content);
  }
});

await session.send({ prompt: "What is 2 + 2?" });

await session.destroy();
await client.stop();

Critical: Register event handlers before calling send() to capture all events.

For complete examples in all languages, see references/working-examples.md.


Core Concepts

Client

Main entry point. Manages CLI server lifecycle and session creation.

Operations: start(), stop(), createSession(), resumeSession()

Config: cliPath, cliUrl, port, useStdio, autoStart, autoRestart

Session

Individual conversation context with message history.

Operations: send(), sendAndWait(), on(), abort(), getMessages(), destroy()

Config: model, streaming, tools, systemMessage

Events

Key events during processing:

EventPurpose
assistant.messageComplete response
assistant.message_deltaStreaming chunk
session.idleReady for next prompt
tool.execution_start/endTool invocations

For full event lifecycle and SessionEvent structure, see references/event-system.md.

Streaming

  • streaming: false (default) - Content arrives all at once
  • streaming: true - Content arrives incrementally via assistant.message_delta

Final assistant.message always fires regardless of streaming setting.


Available Models

See Supported AI Models for full list.

ProviderModel IDNotes
OpenAIgpt-4.1, gpt-5, gpt-5-miniIncluded
OpenAIgpt-5.1, gpt-5.1-codex, gpt-5.2Premium
Anthropicclaude-sonnet-4.5Premium (CLI default)
Anthropicclaude-opus-4.5Premium (3× multiplier)
Googlegemini-3-pro-previewPremium

Custom Tools

TypeScript (Zod):

const tool = defineTool("lookup_issue", {
  description: "Fetch issue details",
  parameters: z.object({ id: z.string() }),
  handler: async ({ id }) => fetchIssue(id),
});

Python (Pydantic):

@define_tool(description="Fetch issue details")
async def lookup_issue(params: IssueParams) -> dict:
    return fetch_issue(params.id)

For complete tool examples in all languages, see references/working-examples.md.


Language Conventions

ConceptTypeScriptPythonGo.NET
Create sessioncreateSession()create_session()CreateSession()CreateSessionAsync()
Delta contentdeltaContentdelta_contentDeltaContentDeltaContent

For full conventions table, see references/event-system.md.


CLI Configuration

Config stored in ~/.copilot/:

  • config.json - General configuration
  • mcp-config.json - MCP server definitions

For custom agents and MCP setup, see references/cli-agents-mcp.md.


Troubleshooting

ProblemSolution
Events fire but content emptyUse event.data.content, not event.content
Handler never firesRegister before send()
Python enum issuesUse event.type.value
Go nil pointerCheck != nil before dereferencing

For debugging techniques, see references/troubleshooting.md.


Skill References

Detailed documentation in this skill:

  • references/working-examples.md - Complete examples for all languages, custom tools
  • references/event-system.md - Event lifecycle, SessionEvent structure, language conventions
  • references/troubleshooting.md - Common issues, debugging techniques
  • references/cli-agents-mcp.md - CLI configuration, custom agents, MCP server setup

Additional Resources

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.