Copilot Sdk logo

Copilot Sdk

Community
intellectronica
copilot-sdk

This skill helps with GitHub Copilot SDK work across Node.js/TypeScript, Python, Go, .NET, and Java. It covers setup, authentication, permissions, streaming events, custom tools, custom agents, MCP servers, hooks, skills, and session persistence.

Overview

Publisherintellectronica
Repositoryagent-skills
Skill namecopilot-sdk
Stars
297
Forks
27
Bundled files
4
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by intellectronica on GitHub. Read the source before you install it.

Installation

Install the Copilot Sdk AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/intellectronica/agent-skills/tree/main/plugins/copilot-sdk/skills
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/intellectronica/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/copilot-sdk/skills .claude/skills/copilot-sdk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Copilot Sdk in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Copilot Sdk on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Copilot Sdk is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

GitHub Copilot SDK

Overview

The GitHub Copilot SDK exposes the same Copilot CLI agent runtime over JSON-RPC, so apps can drive Copilot programmatically instead of building their own orchestration layer.

Status: Public preview
SDKs: Node.js/TypeScript, Python, Go, .NET, Java
Architecture: Application -> SDK client -> JSON-RPC -> Copilot CLI

How to use this skill

When helping with the Copilot SDK:

  1. Prefer the official docs index and the language-specific README over memory.
  2. Treat the top-level SDK README plus docs/ as the source of truth for shared behavior.
  3. Call out preview status when stability or breaking changes matter.
  4. Avoid hardcoding model lists when runtime discovery via listModels() is available.
  5. Watch for stale guidance around permissions, lifecycle methods, and event names.

Current source of truth

Core SDK docs

Language-specific docs

Copilot CLI and GitHub Docs

Recipes and examples


High-value facts

Authentication and prerequisites

  • A GitHub Copilot subscription is required for normal SDK use.
  • BYOK is supported and does not require GitHub Copilot authentication.
  • Node.js, Python, and .NET bundle the Copilot CLI automatically.
  • Go can use an installed CLI or embed/bundle one with the go tool bundler workflow.
  • Java currently lives in github/copilot-sdk-java and expects the CLI to be installed separately.
  • Azure Managed Identity / Entra auth is supported as a documented BYOK pattern by passing short-lived bearer tokens from DefaultAzureCredential.

Permissions

  • The SDK uses a deny-by-default permission model.
  • In practice, create/resume flows should provide an explicit permission handler such as:
    • TypeScript: approveAll
    • Python: PermissionHandler.approve_all
    • Go: copilot.PermissionHandler.ApproveAll
    • .NET: PermissionHandler.ApproveAll
    • Java: PermissionHandler.APPROVE_ALL

Session lifecycle

  • Preferred cleanup method: disconnect()
  • Deprecated cleanup method: destroy()
  • To resume sessions reliably, provide your own sessionId when creating them.
  • BYOK provider configuration must be provided again when resuming because keys are not persisted.

Transport and deployment

  • Default transport is stdio with an SDK-managed CLI process.
  • You can connect to an external headless CLI server via cliUrl.
  • Current external server docs use:
bash
copilot --headless --port 4321

Models

  • Do not hardcode model support unless the user specifically needs a fixed list.
  • Prefer client.listModels() and the official supported-models page.
  • reasoningEffort exists for models that support it.

Installation

SDKInstall
Node.js / TypeScriptnpm install @github/copilot-sdk
Pythonpip install github-copilot-sdk
Gogo get github.com/github/copilot-sdk/go
.NETdotnet add package GitHub.Copilot.SDK
JavaMaven/Gradle package com.github:copilot-sdk-java

Setup and deployment choices

Pick the setup that matches the application shape:

  • Local CLI - simplest path for personal tools and development.
  • Bundled CLI - ship a CLI binary with your app for desktop/distributable tooling.
  • Backend services - run the CLI in headless mode and connect with cliUrl.
  • Scaling and multi-tenancy - shared CLI vs CLI-per-user, shared storage, and session locking.
  • Azure Managed Identity - use BYOK with short-lived bearer tokens instead of static API keys when Azure auth is the real requirement.

Quick start pattern

Use the same mental model in every language:

  1. Create/start the client.
  2. Create a session with a permission handler.
  3. Register event handlers before send() if you need streaming or progress.
  4. Send with send() or sendAndWait().
  5. Wait for session.idle or the returned final message.
  6. disconnect() the session and stop/dispose the client.

TypeScript example

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

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

const session = await client.createSession({
  model: "gpt-5",
  streaming: true,
  onPermissionRequest: approveAll,
});

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

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

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

Core capabilities to remember

Client and session APIs

Common operations across SDKs:

  • Client lifecycle: start(), stop(), forceStop()
  • Session lifecycle: createSession(), resumeSession(), disconnect()
  • Messaging: send(), sendAndWait(), abort(), getMessages()
  • Discovery: listModels(), listSessions(), getStatus() / ping()

Events and streaming

  • Final assistant output arrives in assistant.message.
  • Streaming text arrives in assistant.message_delta.
  • session.idle is the reliable "turn complete" signal.
  • The event system now includes reasoning, tool progress, permission, elicitation, sub-agent, and skill events.

See references/event-system.md.

Custom tools

  • Node uses defineTool(...) with Zod or raw JSON Schema.
  • Python uses @define_tool with Pydantic models.
  • Go prefers DefineTool(...).
  • .NET uses AIFunctionFactory.Create(...).
  • Overriding built-ins always requires explicit opt-in:
    • TypeScript: overridesBuiltInTool: true
    • Python: overrides_built_in_tool=True
    • Go: OverridesBuiltInTool = true
    • .NET: AdditionalProperties["is_override"] = true
  • Custom tools can also opt into skipPermission.

Custom agents, MCP, hooks, and skills

  • customAgents lets you define sub-agents per session.
  • mcpServers attaches local or remote MCP servers.
  • Hooks provide control points such as onPreToolUse, onPostToolUse, onUserPromptSubmitted, and lifecycle/error hooks.
  • Skills are loaded with skillDirectories; disable selectively with disabledSkills.

See references/cli-agents-mcp.md.

Attachments, commands, and interaction

  • Sessions can send file, directory, and image attachments.
  • Image input supports both file and blob attachments, and vision should be checked through model capabilities.
  • In-flight messaging supports mode: "immediate" for steering and mode: "enqueue" for queueing.
  • The SDK can register custom slash commands.
  • Apps can answer user questions with onUserInputRequest.
  • Rich UI prompts are available through elicitation handlers and session.ui when the connected client supports them.

Telemetry and observability

  • The SDK supports OpenTelemetry configuration through TelemetryConfig.
  • Trace context propagation is built in, with Node using an explicit onGetTraceContext callback for outbound propagation.

Persistence and long-running work

  • Use a stable sessionId for resumable sessions.
  • Use infiniteSessions for long-running workflows that may need compaction.
  • Session state is stored under ~/.copilot/session-state/ unless configuration overrides it.

SDK vs. CLI-only features

  • The SDK exposes programmatic surfaces for sessions, models, plans, mode switching, workspace files, custom agents, hooks, MCP, skills, and telemetry.
  • Many terminal UX features remain CLI-only, such as most slash-command workflows, interactive pickers, and export/share commands.
  • When translating a CLI workflow into app code, check the compatibility guide before assuming a slash command has an SDK equivalent.

Language conventions

ConceptTypeScriptPythonGo.NETJava
Create sessioncreateSession()create_session()CreateSession()CreateSessionAsync()createSession()
Resume sessionresumeSession()resume_session()ResumeSession()ResumeSessionAsync()resumeSession()
Final contentevent.data.contentevent.data.content*event.Data.Contentevt.Data.Contentevent.getData().content()
Delta contentevent.data.deltaContentevent.data.delta_content*event.Data.DeltaContentevt.Data.DeltaContentevent.getData().deltaContent()
Skills fieldskillDirectoriesskill_directoriesSkillDirectoriesSkillDirectoriessetSkillDirectories(...)

Common gotchas

  • The SDK is public preview, so older examples drift quickly.
  • Hardcoded model tables get stale; prefer runtime discovery.
  • destroy() still appears in older examples but disconnect() is the current method.
  • A missing permission handler causes confusion fast; treat it as required for real sessions.
  • assistant.message and assistant.message_delta use event.data.*, not top-level event.content.
  • Streaming/event subscriptions should be attached before send().
  • Session resumption without a caller-provided sessionId is awkward to operationalize.

Local reference files in this skill

  • references/working-examples.md - current starter examples, including tools and resume patterns
  • references/event-system.md - event names, lifecycle, and language access patterns
  • references/cli-agents-mcp.md - custom agents, skills, MCP, headless CLI, and config locations
  • references/troubleshooting.md - common failures, debug logging, auth, permissions, and transport issues

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Copilot Sdk AI skill do?

This skill helps with GitHub Copilot SDK work across Node.js/TypeScript, Python, Go, .NET, and Java. It covers setup, authentication, permissions, streaming events, custom tools, custom agents, MCP servers, hooks, skills, and session persistence.

Why use Copilot Sdk on TypingMind?

Because you install it once and use it with any model. Copilot Sdk is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Copilot Sdk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/intellectronica/agent-skills/tree/main/plugins/copilot-sdk/skills. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Copilot Sdk?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Copilot Sdk?

As many as you like. As long as a model supports skills, you can use Copilot Sdk with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Copilot Sdk AI skill free?

Yes. It is published on GitHub by intellectronica under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇