About hypothesis-library
A marketing skill for recording and managing experiment hypotheses in a consistent format, aimed at teams sharing ideas and learnings across groups and channels. Its schema tracks supporting evidence, status, and learning tags, with templates for intake, learning cards, and portfolio views.
Key features
- 01Hypothesis metadata schema
- 02Assumptions and evidence matrix
- 03Experiment status tracking
- 04Learning tags and follow-up ideas
- 05Approval and owner tracking
Use cases
- 01Collecting experiment ideas with shared fields
- 02Reviewing past results before prioritization
- 03Sharing reusable learnings across teams
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/hypothesis-libraryin Claude Code to confirm it loaded.
Details
From the project READMEHypothesis Library Skill
When to Use
- Capturing new experiment ideas with consistent metadata.
- Referencing past wins/losses before prioritizing the backlog.
- Sharing reusable learnings across pods and channels.
Framework
- Metadata Schema – hypothesis ID, theme, persona, funnel stage, metrics.
- Assumptions Matrix – belief statements, supporting evidence, confidence rating.
- Status Tracking – idea → scoped → running → decided → archived.
- Learning Tags – impact summary, guardrail notes, follow-up ideas.
- Governance Hooks – approvals, owners, review cadence.
Templates
- Intake form for new hypotheses.
- Learning card format (context, result, recommendation).
- Portfolio dashboard summarizing mix by theme/metric.
Tips
- Require at least one supporting data point before moving to prioritization.
- Use consistent tagging so search/filtering works across teams.
- Link to
synthesize-learningsoutputs to keep narratives fresh.
Comments
Markdown supported