claude-code-agent-teams-exercises
Claude Code Agent Teams exercises — master multi-agent orchestration through 11 real business challenges
A comprehensive set of practical exercises for developers learning Claude Code's Agent Teams feature. This package provides 11 hands-on and design-based projects to master multi-agent coordination, task pipelines, and communication protocols. It's designed to teach agent team thinking and execution through real-world business problem-solving scenarios.
- 8 hands-on exercises for running real agent teams with business data
- 3 capstone projects for complex multi-agent problem-solving
- Design exercises to plan team architectures without API costs
- Covers task pipelines, communication, and quality gate workflows
- Includes a universal 4-criteria scoring rubric for evaluation
README
View on GitHub ↗Claude Code Agent Teams: Business Problem-Solving Exercises
By Panaversity -- Master Multi-Agent Orchestration Through Real Business Challenges
Welcome! This package contains 8 exercises + 3 capstone projects (11 total) for learning Claude Code's Agent Teams feature through real-world business problem solving. You'll create research teams, build task pipelines for event planning, run feature prioritization debates, and manage quality review cycles -- all using multi-agent coordination.
Package Structure
agent-teams-exercises/
├── README.md ← You are here
├── EXERCISE-GUIDE.md ← Full guide with budget paths
├── scoring-rubric.md ← Universal 4-criteria rubric
├── module-1-your-first-team/
│ ├── exercise-1.1-market-research-sprint/ (3-agent team analyzes a market opportunity)
│ └── exercise-1.2-team-architecture-workshop/ (design team structures for 5 scenarios)
├── module-2-task-pipelines/
│ ├── exercise-2.1-event-planning-pipeline/ (budget→venue→logistics dependency chain)
│ └── exercise-2.2-pipeline-blueprint/ (design dependency graphs for 3 workflows)
├── module-3-communication/
│ ├── exercise-3.1-feature-prioritization-debate/ (3 advocates + 1 decision-maker)
│ └── exercise-3.2-communication-protocol-design/ (plan message flows for 5 scenarios)
├── module-4-quality-gates/
│ ├── exercise-4.1-client-proposal-pipeline/ (draft→review→approve cycle)
│ └── exercise-4.2-review-workflow-design/ (plan approval pipelines for 3 deliverables)
└── module-5-capstones/
├── capstone-A-business-plan-assembly/ (full business plan with 5 agents)
├── capstone-B-customer-feedback-triage/ (triage 200 reviews with agent team)
└── capstone-C-your-business-challenge/ (apply to your own domain)
How to Get Started
Prerequisites
- Claude Code with Agent Teams enabled:
export CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 - A working Claude Code session (CLI or VS Code)
Quick Start
- Navigate to the exercise folder:
cd module-1-your-first-team/exercise-1.1-market-research-sprint - Launch Claude Code
- Read the INSTRUCTIONS.md and start working
Exercise Types
Every module contains two exercises:
| Type | What You Do | API Cost |
|---|---|---|
| Exercise A (Hands-on) | Run real agent teams with provided business data | $$ |
| Exercise B (Design) | Design team architectures on paper -- no agents needed | Free |
Design exercises (B-type) teach team THINKING without API costs. You can learn the concepts for free, then selectively run hands-on exercises.
Recommended Paths
Full Path (All Exercises)
| Session | Module | Exercises | Domain | Budget |
|---|---|---|---|---|
| 1 | Module 1: Your First Team | 1.1, 1.2 | Knowledge Work | Low-Med |
| 2 | Module 2: Task Pipelines | 2.1, 2.2 | Corporate | Low-Med |
| 3 | Module 3: Communication | 3.1, 3.2 | Entrepreneurship | Low-Med |
| 4 | Module 4: Quality Gates | 4.1, 4.2 | Freelancer | Low-Med |
| 5 | Module 5: Capstones | A, B, or C | Mixed | Med-High |
Budget-Friendly Path (Design First)
Complete all design exercises for free, then run select hands-on exercises:
- Exercise 1.2 (design) → 2.2 (design) → 3.2 (design) → 4.2 (design)
- Then pick 1-2 hands-on exercises to run with agents
Speed Path (Essentials Only)
- Exercise 1.1 (learn teams) → 2.1 (learn pipelines) → 3.1 (learn communication) → Capstone A or B
Scoring Rubric
All exercises use the same 4-criteria rubric (see scoring-rubric.md):
| Criteria | What It Measures |
|---|---|
| Comprehensiveness (1-5) | Did the analysis cover all required angles? |
| Actionability (1-5) | Could someone act on these recommendations? |
| Evidence Quality (1-5) | Are conclusions backed by data from starter files? |
| Team Coordination (1-5) | Did agents effectively share and build on each other's work? |
Module exercises target: 14/20 Capstones target: 16/20
Tool Note
- Claude Code (Terminal): Required for hands-on exercises (A-type). Agent Teams is a terminal feature.
- Cowork (Desktop): Works for design exercises (B-type) but does not support multi-agent team orchestration.
- Design exercises: Can be completed with any text editor -- no Claude Code needed.
Built for Panaversity's AI-Native Development Curriculum
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