/hypothesis-library
Curated repository of experiment hypotheses, assumptions, and historical
$ npx -y skills add gtmagents/gtm-agents --skill hypothesis-library --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/hypothesis-library
Context preview
The summary Claude sees to decide when to auto-load this skill.
Curated repository of experiment hypotheses, assumptions, and historical
SKILL.md
hypothesis-library.SKILL.mdname: hypothesis-library description: Curated repository of experiment hypotheses, assumptions, and historical learnings.
Hypothesis 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
1. **Metadata Schema** – hypothesis ID, theme, persona, funnel stage, metrics. 2. **Assumptions Matrix** – belief statements, supporting evidence, confidence rating. 3. **Status Tracking** – idea → scoped → running → decided → archived. 4. **Learning Tags** – impact summary, guardrail notes, follow-up ideas. 5. **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-learnings` outputs to keep narratives fresh.
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