conversion-diagnostic-kit
Structured approach for investigating funnel issues across e-commerce experiences.
npx skills add majiayu000/claude-skill-registry --skill conversion-diagnostic-kit --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Conversion Diagnostic Kit Skill ## When to Use - Sudden drops in conversion, AOV, or checkout completion. - Preparing experiment backlogs tied to funnel pain points. - Aligning engineering, UX, and marketing on remediation priorities. ## Framework 1. **Signal Stack** – analytics, heatmaps, session replay, VOC, performance metrics. 2. **Segmentation Grid** – device, channel, geography, campaign, customer type. 3. **Issue Taxonomy** – UX friction, merchandising mismatch, technical/performance, policy/payment. 4. **Prioritization Model** – score by impact, confidence, effort, and guardrail risk. 5. **Action Tracker** – link issues to owners, experiments, or engineering tickets. ## Templates - Conversion diagnostic workbook (data inputs, findings, recommended tests). - Standup agenda for cross-functional conversion war rooms. - Experiment brief template with hypothesis, KPIs, guardrails. ## Tips - Pair quant data with VOC clips for stakeholder alignment. - Keep diagnostics lightweight (48-hour turnaround) for high-velocity campaigns. - Use alongside `diagnose-conversion-drop` command for automated reporting. ---
- When to Use
- Framework
- Templates
- Tips
What does the conversion-diagnostic-kit skill do?
Structured approach for investigating funnel issues across e-commerce experiences.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill conversion-diagnostic-kit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.