Claude-skill-registry hypothesis-library
Curated repository of experiment hypotheses, assumptions, and historical
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/hypothesis-library" ~/.claude/skills/majiayu000-claude-skill-registry-hypothesis-library && rm -rf "$T"
manifest:
skills/data/hypothesis-library/SKILL.mdsource content
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
- 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
outputs to keep narratives fresh.synthesize-learnings