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Claude Code & Cowork: Practical Problem-Solving Exercises

By Panaversity — Learn by Doing, Not by Reading

Welcome! This package contains all the practice materials, sample data, and instructions for 22 exercises + 3 capstone projects designed to teach you problem-solving with Claude Code and Cowork.


📂 Package Structure

exercises-pack/
├── README.md ← You are here
├── module-1/ — File Organization & Digital Housekeeping
│   ├── exercise-1.1-messy-downloads/    (35 messy files to organize)
│   ├── exercise-1.2-photo-album/        (24 images to sort & gallery)
│   └── exercise-1.3-inbox-zero/         (18 emails to triage)
│
├── module-2/ — Research & Information Synthesis
│   ├── exercise-2.1-comparison-matrix/  (3 decision scenarios)
│   ├── exercise-2.2-literature-review/  (3 research topics with briefs)
│   └── exercise-2.3-decision-document/  (3 business decisions)
│
├── module-3/ — Data Wrangling & Analysis
│   ├── exercise-3.1-messy-spreadsheet/  (CSV with 25 messy rows)
│   ├── exercise-3.2-survey-analyzer/    (60-row survey dataset)
│   └── exercise-3.3-budget-tracker/     (15 receipt files)
│
├── module-4/ — Document Creation & Transformation
│   ├── exercise-4.1-meeting-notes/      (Raw messy meeting notes)
│   ├── exercise-4.2-report-generator/   (5 data files for Q1 report)
│   └── exercise-4.3-presentation-builder/(Written report to convert)
│
├── module-5/ — Process Automation & Workflows
│   ├── exercise-5.1-batch-renamer/      (25 badly-named files)
│   ├── exercise-5.2-template-system/    (Template + 10-student dataset)
│   └── exercise-5.3-weekly-report/      (3 weekly data files)
│
├── module-6/ — Problem Solving & Creative Thinking
│   ├── exercise-6.1-business-plan/      (3 business idea briefs)
│   ├── exercise-6.2-troubleshooter/     (3 problem scenarios)
│   └── exercise-6.3-event-planner/      (Detailed event brief)
│
├── module-7/ — Quality Control & Critical Thinking
│   ├── exercise-7.1-fact-checker/       (5 article topics)
│   ├── exercise-7.2-spec-stress-test/   (Test data CSV)
│   └── exercise-7.3-prompt-tournament/  (Tournament instructions)
│
└── module-8/ — Capstone Projects
    ├── capstone-A-knowledge-base/       (8 sample documents)
    ├── capstone-B-business-ops-kit/     (Business details & context)
    └── capstone-C-course-materials/     (Course brief & outline)

🚀 How to Get Started

With Cowork (Recommended for Beginners)

  1. Open Claude Desktop app on macOS
  2. Switch to the Cowork tab
  3. Point Cowork at the exercise folder you want to work on
  4. Read the INSTRUCTIONS.md file in the exercise folder
  5. Start describing your task to Claude

With Claude Code (For Terminal Users)

  1. Open your terminal
  2. Navigate to the exercise folder: cd exercises-pack/module-1/exercise-1.1-messy-downloads
  3. Launch Claude Code
  4. Read the INSTRUCTIONS.md and start working

📋 Recommended Order

Week 1 (Foundations): Exercises 1.1, 1.2, 1.3 Week 2 (Research): Exercises 2.1, 2.2, 2.3 Week 3 (Data): Exercises 3.1, 3.2, 3.3 Week 4 (Documents): Exercises 4.1, 4.2, 4.3 Week 5 (Automation): Exercises 5.1, 5.2, 5.3 Week 6 (Thinking): Exercises 6.1, 6.2, 6.3 Week 7 (Quality): Exercises 7.1, 7.2, 7.3 Week 8 (Capstone): Choose one capstone project


🧠 The Problem-Solving Framework

Use this for EVERY exercise:

  1. Define — What exactly am I trying to accomplish?
  2. Gather — What files/data does Claude need?
  3. Specify — Describe the desired outcome, constraints, and format
  4. Execute — Run it with Claude Code or Cowork
  5. Verify — Does the output match what I asked for?
  6. Iterate — What would I change? Run it again.
  7. Reflect — What did I learn about specifying problems clearly?

📊 Self-Assessment Rubric

Criteria 1 (Beginner) 2 (Developing) 3 (Proficient) 4 (Advanced)
Problem Clarity Used starter prompt Added specifics Clear success criteria Anticipated edge cases
Specification Quality Vague, one-sentence Multiple requirements Structured, unambiguous Reusable, parameterized
Output Verification Accepted first output Checked appearance Verified vs requirements Tested edge cases
Iteration Single attempt One revision Multiple refinements Systematic approach
Reflection None Noted outcome Explained why Derived principles

Built for Panaversity's AI-Native Development Curriculum No programming knowledge required — just curiosity and clear thinking.

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