Define Hypothesis

Define Hypothesis is an AI Engineering skill for Claude Code, published by product-on-purpose in pm-skills.

565 stars74 forkson product-on-purpose/pm-skillsAdded 2026/08/25+3% in starsRepository updated 2026/08/25

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Install in seconds

Install Define Hypothesis

Copy Define Hypothesis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/product-on-purpose/pm-skills/tree/main/skills/define-hypothesis ~/.claude/skills/define-hypothesis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/product-on-purpose/pm-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/define-hypothesis/SKILL.md in product-on-purpose/pm-skills
Installs to: ~/.claude/skills/define-hypothesis
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Define Hypothesis does

Define Hypothesis turns an assumption into a falsifiable statement with a target user, success metrics, and a validation approach. Use it before designing an experiment or A/B test to align on what success looks like.

Define Hypothesis is cataloged under AI Engineering on DirSkills. Define Hypothesis comes from a repository tagged agent-skills, agentskills, ai-skills, claude-code and claude-desktop.

Documentation

README

Excerpt

Hypothesis

A hypothesis is a testable prediction about how a change will affect user behavior or business outcomes. It transforms assumptions into explicit statements that can be validated or invalidated through experimentation. Well-formed hypotheses prevent teams from building features based on untested beliefs and create shared understanding of what success looks like.

When to Use

After problem framing, before committing to a solution
When designing experiments or A/B tests
When team members have differing assumptions about user behavior
Before investing significant engineering resources in a feature
When pivoting direction and need to validate the new approach

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Define Hypothesis

What else does product-on-purpose publish alongside Define Hypothesis?
Define Hypothesis is one of 25 skills that DirSkills catalogs from product-on-purpose/pm-skills, the repository it ships in. Its siblings there include Acceptance Criteria, Architecture Decision Record and Build Risk Review. Each one is a separate skill with its own page in this directory, installs the same way Define Hypothesis does, and is maintained by product-on-purpose in that same repository. The rest of the collection is listed on the product-on-purpose/pm-skills page.
How does Define Hypothesis compare to other AI Engineering skills?
Define Hypothesis ranks #2013 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Define Hypothesis against them. Open each page to compare what they document and how they install.