Epic Hypothesis
CheckedEpic Hypothesis generates creative, unexpected hypotheses to spark innovation and challenge assumptions – a powerful tool for divergent thinking.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add deanpeters/product-manager-skills --skill epic-hypothesis -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
deanpeters
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Install target
Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
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No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
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Pinned to a commit: passed
Scanned deanpeters/product-manager-skills at cfcb697f14.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- cfcb697f14
- Manifest
- skills/epic-hypothesis/SKILL.md
- Scanned
- 4 files, 535 lines
About this skill
The epic-hypothesis skill enables AI agents to generate, refine, and validate product hypotheses using the Epic framework. It structures thinking around specific problem statements, desired outcomes, and measurable success criteria to drive strategic decision-making.
When to use it
- Formulating initial ideas for new features or products during brainstorming sessions.
- Validating assumptions before committing resources to development or market testing.
- Aligning cross-functional teams on a shared definition of success and core problems.
- Iterating on vague concepts into testable, data-driven product strategies.
Key capabilities
- Structuring hypotheses using the Epic format (Problem, Outcome, Metric).
- Identifying key variables and assumptions that require validation.
- Generating specific experiments to test hypothesis validity.
- Refining weak or ambiguous ideas into actionable strategic statements.
Example prompts
- "Create an Epic hypothesis for a mobile app feature that reduces user churn."
- "Critique this product hypothesis: 'We should add dark mode because users prefer it.' What are the missing elements?"
- "Generate three alternative hypotheses to test the assumption that our customers need faster load times."
Tips & gotchas
Ensure you provide context about your target audience and current product state for more relevant hypotheses. Avoid using this skill for highly technical implementation details; it is designed for strategic ideation and validation only.