GitHub Copilot CLI PM Course

An interactive course teaching Product Managers how to use GitHub Copilot CLI effectively for their daily work.

Adapted from the excellent Claude Code PM Course by Carl Vellotti.

What You'll Learn

• File Operations - Read, search, organize, and manage PM documents
• Agents - Use explore, task, and code-review agents for parallel workflows
• Custom Agents & MCP - Create specialized reviewers and extend capabilities
• Project Memory - Use copilot-instructions.md to customize Copilot's behavior
• Real PM Workflows - Write PRDs, analyze data, develop product strategy

Course Structure

Module 0: Getting Started

• 0.0 Introduction - Course overview and what you'll learn
• 0.1 Installation - Install GitHub Copilot CLI and prerequisites
• 0.2 Start & Clone - Launch Copilot CLI and clone this course

Module 1: Copilot CLI Fundamentals

• 1.1 Welcome - Introduction to TaskFlow and the course project
• 1.2 Visualizing Files - Set up your visual workspace with VS Code
• 1.3 First Tasks - Process meeting notes, analyze research, work with files
• 1.4 Agents - Use explore, task, and general-purpose agents
• 1.5 Custom Agents - Create specialized agents with MCP servers
• 1.6 Project Memory - Use copilot-instructions.md for context
• 1.7 Navigation - Master file operations and searches

Module 2: Advanced PM Scenarios

• 2.1 Write a PRD - Partner with AI to create product requirements
• 2.2 Analyze Data - Data-driven product decisions with CSV analysis
• 2.3 Product Strategy - Strategic planning and competitive analysis

How to Use This Course

Interactive Track (Recommended)

1. Clone this repository:

   git clone https://github.com/chschoenenberger/copilot-cli-pm-course.git
   cd copilot-cli-pm-course/course-materials

2. Start Copilot CLI:

   copilot

3. Begin the first lesson:

   Let's start Module 1.1 - Welcome to the course!
   

4. Follow the guided, hands-on lessons

Reference Track

Each module has a REFERENCE_GUIDE.md that can be read standalone for quick reference.

Key Differences from Claude Code

Claude Code	Copilot CLI Equivalent
CLAUDE.md	.github/copilot-instructions.md
@filename mentions	Direct file paths or #file:
/start-1-1 slash commands	Natural language prompts
Parallel agents	explore, task, code-review agents
Custom sub-agents	Custom agents + MCP servers

Prerequisites

• GitHub Copilot subscription (Individual, Business, or Enterprise)
• PowerShell v6+ (Windows) or Terminal (macOS/Linux)
• Basic familiarity with product management
• Willingness to learn command-line basics

Quick Start

# Install GitHub Copilot CLI

# Windows (via WinGet)
winget install GitHub.Copilot

# macOS/Linux (via Homebrew)
brew install copilot-cli

# Or via npm (all platforms)
npm install -g @github/copilot

# Launch and authenticate
copilot
# On first launch, use /login to authenticate with GitHub

# Clone and start the course
git clone https://github.com/chschoenenberger/copilot-cli-pm-course.git
cd copilot-cli-pm-course/course-materials
copilot

About This Course

This course teaches PMs how to use GitHub Copilot CLI as a thinking partner, not just an automation tool. You'll learn to:

• Work faster without sacrificing quality
• Get multi-perspective feedback instantly
• Process research and data efficiently
• Write better documents with AI assistance

Time to Complete: ~4-6 hours for full interactive track

The TaskFlow Company

Throughout this course, you'll work for TaskFlow, a fictional B2B SaaS task management platform for remote teams. Think "Asana meets Linear, but built for async-first companies."

• Stage: Series B startup ($20M raised, 50 employees)
• Your Role: Senior PM for activation & onboarding
• Product: Task management for manufacturing/operations teams

All context is pre-created - you're stepping into a working company!

License

This work is licensed under CC BY-NC-ND 4.0.

Adapted from the original Claude Code PM Course by Carl Vellotti. You may view and share this course content with attribution, but commercial use and modifications are not permitted.

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Ready to level up your PM skills with AI? Let's go! 🚀