·exercise-pack
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exercise-pack

Design and generate exercise packs for textbook chapters. Supports coding exercises (build/debug, apply/measure) AND business problem-solving exercises (hands-on/design with starter data). Given a chapter number or path, detects audience (beginner/practitioner/developer), analyzes lessons, groups into 5-8 modules, designs exercises (2 per module + 2-3 capstones), generates the exercise repository, lesson file, summary file, and handles quiz renumbering. Use when asked to create exercises for a chapter, e.g., '/exercise-pack ch 4' or '/exercise-pack chapter 6'. Invokes parallel agents for repo generation and lesson writing, then cross-references outputs.

26Installs·0Trend·@panaversity

Installation

$npx skills add https://github.com/panaversity/agentfactory --skill exercise-pack

How to Install exercise-pack

Quickly install exercise-pack AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/panaversity/agentfactory --skill exercise-pack
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: panaversity/agentfactory.

SKILL.md

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Create complete exercise packs for textbook chapters: analyze lessons, design exercises, generate GitHub repo + lesson file + summary, handle quiz renumbering.

| Part 1-2, "no prior coding" in README | Beginner / Business | Business scenarios, professional domains, zero code | | Part 3-4, tools/methodology chapters | Practitioner | Tool workflows, configuration, methodology application | | Part 5-6, advanced engineering | Developer | Code projects, debugging, architecture |

The audience determines everything: scenario language, starter file types, rubric criteria, and which exercise pattern to use. Getting this wrong produces exercises students cannot relate to.

Design and generate exercise packs for textbook chapters. Supports coding exercises (build/debug, apply/measure) AND business problem-solving exercises (hands-on/design with starter data). Given a chapter number or path, detects audience (beginner/practitioner/developer), analyzes lessons, groups into 5-8 modules, designs exercises (2 per module + 2-3 capstones), generates the exercise repository, lesson file, summary file, and handles quiz renumbering. Use when asked to create exercises for a chapter, e.g., '/exercise-pack ch 4' or '/exercise-pack chapter 6'. Invokes parallel agents for repo generation and lesson writing, then cross-references outputs. Source: panaversity/agentfactory.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/panaversity/agentfactory --skill exercise-pack
Category
{}Data Analysis
Verified
First Seen
2026-02-26
Updated
2026-03-11

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Quick answers

What is exercise-pack?

Design and generate exercise packs for textbook chapters. Supports coding exercises (build/debug, apply/measure) AND business problem-solving exercises (hands-on/design with starter data). Given a chapter number or path, detects audience (beginner/practitioner/developer), analyzes lessons, groups into 5-8 modules, designs exercises (2 per module + 2-3 capstones), generates the exercise repository, lesson file, summary file, and handles quiz renumbering. Use when asked to create exercises for a chapter, e.g., '/exercise-pack ch 4' or '/exercise-pack chapter 6'. Invokes parallel agents for repo generation and lesson writing, then cross-references outputs. Source: panaversity/agentfactory.

How do I install exercise-pack?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/panaversity/agentfactory --skill exercise-pack Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/panaversity/agentfactory