Chat Participant Patterns Skill

Create VS Code chat participants with streaming responses and tool calling.

1|1|Updated Nov 20, 2025

Search Tags:#typescript #vscode #copilot #extension development #language model #chat api

Ready to run

npx skills add https://github.com/fabioc-aloha/AIRS_Data_Analysis --skill chat-participant-patterns-skill

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Chat Participant Patterns Skill
Source: https://github.com/fabioc-aloha/AIRS_Data_Analysis/tree/main/.github/skills/chat-participant-patterns
Command: npx skills add https://github.com/fabioc-aloha/AIRS_Data_Analysis --skill chat-participant-patterns-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides developers with clear, actionable patterns and examples for building custom chat participants within the VS Code environment, simplifying the integration of AI and language model capabilities into extensions.

Core Features & Use Cases

Participant Creation: Demonstrates how to register and manage chat participants.
Request Handling: Illustrates the structure and methods for handling user requests within a chat participant.
Response Streaming: Shows various ways to stream responses, including markdown, code blocks, and progress indicators.
LM and Tool Integration: Provides examples for integrating with Language Models and registering/invoking tools.
Use Case: A developer wants to create a VS Code extension that allows users to interact with a custom AI assistant directly within the IDE's chat interface. This Skill provides the necessary code snippets and explanations to build such a participant.

Quick Start

Use the chat participant patterns skill to create a new chat participant by following the provided TypeScript example.

Frequently Asked Questions about Chat Participant Patterns Skill

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I create a custom chat participant in a VS Code extension?▼

This Skill provides TypeScript patterns for VS Code chat participant creation, demonstrating how to register and manage custom AI assistants using the Chat API. It covers request handling and integration directly within the IDE interface.

How do I stream responses with markdown and progress indicators in VS Code Chat?▼

You stream responses in VS Code Chat by utilizing specific API methods to render markdown, code blocks, and progress indicators. This Skill illustrates these response streaming patterns to provide real-time feedback during chat participant interactions.

Can I integrate language models and tool calling within VS Code chat extensions?▼

Yes, you can integrate language models and tool calling within VS Code chat extensions. This Skill provides API usage examples for integrating with the LM API and registering or invoking tools to extend your chat participant's capabilities.

What are VS Code Chat API patterns used for?▼

VS Code Chat API patterns are used for building custom chat participants and handling user requests within extensions. They simplify integrating AI and language model capabilities into the IDE by providing code snippets for streaming and tool integration.

Do I need TypeScript to build VS Code chat participants?▼

TypeScript is the primary language used in the provided examples for building VS Code chat participants. This Skill focuses on TypeScript patterns to register participants, handle requests, and integrate language models within your extension development workflow.