Skill UI

SDK for building apps that interact with GitHub Copilot via JSON-RPC, managing sessions, streaming responses, custom tools, and hooks across Node.js, Python, Go, and .NET clients.

This skill provides an interactive, guided tutorial for beginners learning GitHub Copilot CLI. It features separate learning tracks for both developers and non-developers, covering everything from basic terminal usage to advanced planning commands. Use this skill to make the command line approachable and fun, regardless of your technical background.

This skill is designed to retrieve and display detailed usage metrics for GitHub Copilot within organizations and enterprises. Users can analyze adoption rates, total suggestions, acceptance rates, and chat interactions, broken down either by the entire organization/enterprise or on a per-user basis. It supports querying data for specific historical dates using GitHub CLI and REST API.

Interactive training for the GitHub Copilot CLI with guided lessons, quizzes, scenario challenges, and a reference covering slash commands, shortcuts, agents, MCP, and configuration; say “cliexpert” to begin.

Generates a copilot-instructions blueprint tailored to each repository by analyzing existing code patterns, versions, and architectural standards so GitHub Copilot stays aligned with project guidelines.

The GitHub Copilot SDK empowers developers to embed advanced, agentic AI workflows directly into their proprietary applications. It provides a programmatic interface to Copilot's production-tested agent runtime, allowing you to define complex agent behaviors, manage tool invocation, process file edits, and implement real-time streaming responses. Ideal for building custom, highly intelligent tools and automating complex tasks across multiple languages (Python, TypeScript, Go, .NET).

Generates migration instructions for GitHub Copilot by comparing two project states, enabling consistent transformations during migrations, refactors, or technology upgrades and documenting rules, validation, and monitoring steps.

Guides teams through creating a complete GitHub Copilot configuration by outlining required instructions, reusable skills, and agent/workflow files tailored to the chosen tech stack and workflow preferences.

This tool acts as an expert prompt engineer, guiding users through a systematic discovery process to create highly structured, production-ready prompts for AI assistants like GitHub Copilot. It covers defining persona, specifying complex tasks, managing context variables, integrating tools, and enforcing strict output standards, ensuring the resulting prompt is comprehensive and actionable for advanced AI agents.

Scans repository context and chat history to recommend awesome-copilot Custom Agent files that are missing or outdated locally, outlines relevance/rationale, and waits for user approval before installing or updating.

Suggests relevant GitHub Copilot instructions by comparing awesome-copilot guidance with the local repo context, identifying duplicates, and flagging outdated files.

Suggests relevant GitHub Copilot skills from the awesome-copilot repo that match current repository patterns and chat history, flags duplicates, and highlights outdated local skills for targeted updates.