Turning JTBD and Scrum Frameworks Into AI Skills

Most teams use AI to generate content.

These skills help AI reason using your actual product frameworks.

Instead of:

• random outputs

• vague strategy

• feature dumping

the AI follows:

• JTBD principles

• ODI logic

• story mapping rules

• Scrum definitions

• product discovery workflows

The result is more consistent, structured, and useful outputs.

Download Included

This package includes:

Product_Power_Skills_AgileClassrooms.zip

The ZIP file contains all of the AI skill folders and markdown instruction files.

After downloading:

1. Unzip the file

2. Open the folders

3. Load the skills into your preferred AI tool or workflow

What Is an AI Skill?

A skill is a folder that contains reusable instructions, rules, templates, and examples that teach an AI how to reason within a specific domain or workflow.

Instead of repeatedly writing giant prompts, the AI loads the skill and follows its guidance.

A skill usually contains:

• a SKILL.md file

• validation rules

• templates

• examples

• anti-patterns

• workflow guidance

Example:

jtbd-core/
├── SKILL.md
├── validation-rules.md
├── terminology.md
└── anti-patterns.md

The SKILL.md file is the main instruction file.

It teaches the AI:

• how to think

• what rules to follow

• what outputs should look like

• what mistakes to avoid

The supporting files provide:

• reusable templates

• domain vocabulary

• examples

• formatting rules

• quality checks

Together, the folder becomes a reusable reasoning module.

The Skills

JTBD Core Skill

Folder:
jtbd-core/

Purpose:
Teaches the AI how to think using Jobs-to-Be-Done and Outcome-Driven Innovation principles.

Used for:

• defining jobs

• writing outcomes

• validating customer language

• avoiding feature-first thinking

Job Map Skill

Folder:
job-map/

Purpose:
Creates customer job maps and desired outcomes.

Used for:

• customer discovery

• workshop facilitation

• mapping customer workflows

Opportunity Landscape Skill

Folder:
opportunity-landscape/

Purpose:
Prioritizes underserved customer outcomes.

Used for:

• identifying opportunities

• product strategy

• innovation focus

Next Right Solution Skill

Folder:
next-right-solution/

Purpose:
Defines the smallest useful thing to learn or build.

Used for:

• MVPs

• experiments

• product discovery

• reducing overbuilding

Product Vision Skill

Folder:
product-vision/

Purpose:
Creates clear product vision statements.

Used for:

• Pixar pitches

• elevator pitches

• Amazon-style press releases

Story Mapping Skill

Folder:
story-mapping/

Purpose:
Converts workflows into user story maps.

Used for:

• backlog organization

• customer journey mapping

• release planning

Story Slicing Skill

Folder:
story-slicing/

Purpose:
Splits large stories into small deliverable slices.

Used for:

• sprint planning

• incremental delivery

• reducing oversized stories

Scrum Delivery Skill

Folder:
scrum-delivery/

Purpose:
Keeps delivery guidance aligned with the official Scrum Guide.

Used for:

• Scrum coaching

• event clarification

• role clarification

• artifact guidance

How To Use the ZIP File

After downloading jtbd_skills_package.zip:

1. Unzip the file

2. Place the skill folders somewhere accessible on your computer

3. Load the folders into your preferred AI system

Examples:

• Claude Projects

• Codex projects

• AGENTS.md workflows

• Custom GPTs

• MCP agent systems

The AI reads the markdown files inside each folder and uses them as reusable reasoning instructions.

You do not “run” the skills like software.

The AI uses the files as:

• guidance

• rules

• templates

• validation logic

• workflow instructions

Think of them like reusable expert playbooks for the AI.

When To Use a Skill

Use a skill when:

• you repeat the same workflow often

• outputs need consistency

• quality matters

• the framework has rules

• the AI needs domain-specific reasoning

Good examples:

• JTBD workshops

• story mapping

• Scrum coaching

• product discovery

• backlog refinement

How To Use a Skill

Typical workflow:

1. Load the skill

2. Provide the context

3. Ask the AI to reason using the skill

Example:

“Using the Job Map Skill, generate an abridged job map for giving gifts during a disaster.”

The AI now follows:

• JTBD rules

• outcome formatting rules

• workflow structure

• validation guidance

instead of improvising.

Why This Matters

Without skills:
AI generates text.

With skills:
AI follows a reasoning system.

That is the difference between:
a chatbot

and

an AI-powered product operating system.