GitHub Copilot Training & Thought Leadership

Hands-on training, technical deep-dives, and executive strategy for AI-assisted development

🎯 What's Inside

Three content tracks for different audiences, each with accompanying Slidev presentations:

🏗️ Workshop Training — 7 Modules

Hands-on, story-driven training with progressive skill-building for developers and teams.

Module	Topic
00 — Orientation	Training philosophy and the Shift
01 — Instructions	Repository instructions and architecture docs
02 — Agent Plan Mode	Structured AI collaboration
03 — Custom Prompts	Reusable prompt workflows
04 — Agent Skills	Skills for targeted capabilities
05 — MCP Servers	External system integration
06 — Custom Agents	Autonomous agent workflows

Uses persona-driven narratives and a production application template (FanHub).

💼 Executive Talks — 3 Talks

Thought leadership for technical leaders making strategic decisions about AI adoption.

Talk	Focus
Agentic Delivery	Agents with instruments and guardrails
Agentic Labor	What missions agents can fly beyond code generation
Agentic Economics	Economic models for AI-assisted development ROI

🔧 Technical Deep-Dives

Technical presentations for practitioners exploring specific capabilities and patterns.

💬 Copilot Surfaces

Talk	Focus
Copilot Chat	Context mastery for AI collaboration — #file, @workspace, #codebase
Copilot Chat Internals	Under the hood diagnostics and Chat Debug View
Copilot CLI	Natural language to shell commands and scripting workflows
Copilot Web	AI assistance beyond the IDE — PR reviews, issue triage
Copilot Memory	Cross-session context persistence and workflow patterns
Terminal Sandboxing	Safe agentic execution with network and filesystem controls

🧩 Context & Customization

Talk	Focus
Copilot Hooks	Programmable governance — prevention, audit trails, compliance
Copilot SDK	Embedding AI agents in custom tools and applications
Copilot Primitives	The 4 configuration primitives — instructions, prompts, skills, agents
MCP Apps	Rich UI in chat responses with component-based MCP tools

🤖 Agent Architecture

Talk	Focus
Agent Teams	Coordinated specialists — planners, reviewers, testers collaborating
Multi-Step Tasks	Context isolation with subagents for complex workflows
Parallel Execution	Simultaneous agents on different branches via Git worktree

🚀 Agentic Transformation

Talk	Focus
Agentic Journey	The 5-phase path from "assign to copilot" to full SDLC automation
Agentic SDLC	Rewire repos, PRs, and CI/CD for AI-as-labor delivery agents
Enterprise Patterns	Scaling Copilot across organizations with measurable ROI

See DECISION-GUIDE.md for choosing the right talk for your audience.

📽️ Slide Decks

All content has accompanying Slidev presentations deployed to GitHub Pages.

Category	Decks	Live URL Pattern
Workshop	7	`/CopilotTraining/workshop/{module}/`
Tech Talks	16	`/CopilotTraining/tech-talks/{topic}/`
Exec Talks	3	`/CopilotTraining/exec-talks/{topic}/`

Slides are built and deployed automatically on push to main. PRs that touch slides are validated with a build check before merge.

🚀 Getting Started

If you want to...	Start here
Build hands-on AI skills	Workshop Module 00
Understand strategic implications	Agentic Delivery
Deep-dive a specific capability	Tech Talk Decision Guide

🏗️ Training Philosophy

The Shift: Syntax Wizards → Markdown Whisperers

Old Metrics	New Metrics
Syntax memorization	Clear articulation of intent
Clever code only you understand	Code anyone can maintain
Fast typing	Fast thinking and design
Being the "only expert"	Scaling knowledge across the team

In the age of AI assistance, the bottleneck isn't "can you write the code?" — it's "do you know what to build?"

💡 Markdown Is the Medium: Every .md file you write—instructions, prompts, agents, skills—is a direct conversation with AI. The most effective teams won't be those with the most elegant syntax; they'll be those with the best prose. Syntax is what AI writes for you. Markdown is what you write for AI.

Four Principles

Principle	Core Message
🔍 Clarity Beats Cleverness	Understandable code trumps clever code
🎯 Intent Over Implementation	Describe WHAT, not HOW
📚 Documentation Is Leverage	Write once, benefit infinitely
⚖️ Human Judgment Is Non-Negotiable	AI proposes, you decide

🔧 Content Development

New tech talks are generated through an automated 4-phase workflow:

Research — Copilot CLI gathers source material and examples from URLs
Plan — Content outline committed for review
Build — README.md generated from approved plan (/approve-plan)
Slides — Slidev deck generated from README

See the Tech Talks Creation Guide for detailed instructions on both the issue-based and local IDE workflows.

Copilot Agents & Skills

Content development is powered by custom Copilot agents and skills that run inside VS Code:

Agent / Skill	Purpose
`@Module Creator`	End-to-end workshop module generation
`@Module Planner`	Research and plan module outlines
`@Tech Talk Generator`	Research and generate tech talk content
`@Slide Generator`	Create Slidev slides from README files
`@exercise-author` skill	Create exercise files from module plans

Agent definitions live in .github/agents/ and skills in .github/skills/.

Authoring Resources

Tech Talk Template — Structure and guidelines for tech talks
Tech Talk Decision Guide — Choosing the right talk for your audience
Workshop Personas — Meet the training team members
Slide Deployment — How slides are built and deployed
Copilot Instructions — Repo-level conventions for Copilot

📚 Official Documentation

📜 License

This content is open source under the MIT License.

Built with ❤️ by developers who believe clarity beats cleverness

Name	slide-fixer
Description	Automatically fix slide issues detected by verification - splits overflowing slides, repairs broken images, and resolves layout problems. Preserves all content by adding slides rather than reducing.

slide-fixer

SKILL.md