Claude Code Workshop Series

A progressive, hands-on workshop series that takes developers from Claude Code fundamentals to building autonomous AI-powered development workflows at scale.

Workshops Overview

Workshop 1: Getting Productive — ~2.5 hours

Learn the foundations of Claude Code: how the context window works, token management, core workflows, and project configuration with CLAUDE.md. Then extend Claude Code with MCP servers and custom skills, culminating in a meta skill that chains an entire dev lifecycle.

Key topics: Context window, token management, core workflows, CLAUDE.md & memory, prompting, MCP servers, custom skills, bundled skills, meta skills

You'll build:

• A CLAUDE.md with project-specific instructions
• Playwright and Jira MCP server integrations
• A custom /implement-ticket skill
• A /dev-workflow orchestrator that chains ticket creation, expansion, implementation, and QA

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Workshop 2: Automation & Scaling — ~85 minutes

Go beyond the basics with permission management, hooks for automated guardrails, custom agents for delegated tasks, and parallel workflows using git worktrees.

Key topics: Permissions & security, hooks, custom agents, parallel workflows

You'll build:

• Project-level permission rules in .claude/settings.json
• Hooks that auto-lint code and block dangerous commands
• Custom agents for testing and code review
• Parallel Claude sessions with worktrees

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Workshop 3: Context Engineering & Marketplace — ~4 hours

An advanced bootcamp for AI Champions. Understand why context engineering matters, build a complete feature lifecycle pipeline (skills, agents, slash commands), package components into plugins, distribute them via a marketplace, and run features autonomously with the Ralph Loop and LISA.

Key topics: Context engineering, key components (skills/agents/commands), marketplace & plugins, Ralph Loop & LISA, champion publishing

You'll build:

• 5 skills, 3 agents, and 1 slash command forming a full feature lifecycle
• A plugin packaging and marketplace distribution system
• Autonomous feature implementation with Ralph Loop + LISA
• A personal action plan for your team's AI adoption

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Learning Progression

Workshop 1                    Workshop 2                  Workshop 3
Getting Productive            Automation & Scaling        Context Eng. & Marketplace
─────────────────────         ──────────────────────      ──────────────────────────
Context Window                Permissions & Security      Context Engineering (Why)
Token Management              Hooks                       Key Components (Build)
Core Workflows                Custom Agents               Marketplace & Plugins
CLAUDE.md & Memory            Parallel Workflows          Ralph Loop & LISA
Prompting                     Full Workflow Exercise       Context Engineering (How)
MCP Servers & Skills                                      Champion as Publisher
Meta Skills

Prerequisites

• Claude Code installed and authenticated
• gh CLI installed and authenticated
• Node.js 18+
• A project repository to work in
• Jira Cloud account with project access

Each workshop builds on the previous one — start with Workshop 1 and progress sequentially.

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Start with Workshop 1: Getting Productive