performance-correlation
Correlate content attributes with performance metrics across GA4, GSC, and SE Ranking. Identify what drives performance and build optimization hypotheses.
npx skills add majiayu000/claude-skill-registry --skill performance-correlation-involvex-involvex-claude-mark-2 --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.
# Performance Correlation ## When to Use - Connecting content changes to metric changes - Identifying what drives performance - Building optimization hypotheses - A/B test analysis - Content audit findings ## Cross-Source Correlation Patterns ### Pattern Library #### Pattern 1: High Impressions + Low CTR + Good Position ``` GSC: Impressions ↑ | CTR ↓ | Position 3-7 GA4: N/A (users don't click) ``` **Diagnosis**: Title/meta description not compelling enough **Evidence Needed**: - Compare your snippet to competitors in positions 1-2 - Check for SERP features stealing attention - Analyze query intent match **Recommended Actions**: 1. Rewrite title with power words, numbers, or year 2. Add compelling meta description with clear benefit 3. Target featured snippet if applicable **Expected Impact**: +50-100% CTR improvement possible --- #### Pattern 2: High CTR + Low Engagement ``` GSC: CTR ↑ | Position stable GA4: Bounce ↑ | Time on Page ↓ | Scroll Depth ↓ ``` **Diagnosis**: Content doesn't match search intent or promise **Evidence Needed**: - Compare content to search query expectations - Check if title oversells/misleads - Analyze competing content that ranks **Recommended Actions**: 1
- When to Use
- Cross-Source Correlation Patterns
- Pattern Library
- Correlation Matrix Template
- Content Changes Timeline
- Metric Response Timeline
- Correlation Confidence
- Multi-Source Correlation
- Unified Performance View
- Hypothesis Building
- Template
- Example Hypothesis
What does the performance-correlation skill do?
Correlate content attributes with performance metrics across GA4, GSC, and SE Ranking. Identify what drives performance and build optimization hypotheses.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill performance-correlation-involvex-involvex-claude-mark-2 --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.