Individual skill
lead-quality-pattern-analysis
Red flag detection frameworks for lead quality analysis across GA4 behavioral data. Auto-invoke when analyzing lead quality, identifying bot traffic, investigating no-shows/missing contact info, or reviewing conversion patterns. Provides 5 analysis frameworks (landing pages, geo, devices, time, user behavior) with severity classification.
lead-quality-pattern-analysis/SKILL.md
Source commit 90f0e419f2d820789d5e50eee1237ab9fd14dfc6
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- Yes
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- No
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- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 80
- Repository last updated
- Aug 25, 2026
- License
- MIT
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- ai-agents Repository topic
- ai-skills Repository topic
- claude-code Repository topic
- google-ads Repository topic
- google-ads-api Repository topic
- ppc Repository topic
- ppc-automation Repository topic
- engineering Derived category
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# Lead Quality Pattern Analysis Skill
**Purpose:** Provides standardized red flag detection frameworks for identifying lead quality issues through GA4 behavioral data analysis.
**Type:** Domain knowledge skill (auto-invoked)
---
## What This Skill Deliberately Does NOT Do
- **Collect the data.** It runs on GA4 behavioral data already gathered (Step 1 hands it [`ga4-cross-analysis`](../ga4-cross-analysis/) output); it pulls nothing itself.
- **Verify flags against campaign settings.** It detects patterns in GA4 behavior; confirming whether a flag is a real config gap or a data artifact is [`ga4-campaign-cross-reference`](../ga4-campaign-cross-reference/)'s hypothesis → verification job.
- **Build the prioritized plan.** It counts and severity-classifies red flags; turning them into a sequenced action plan is [`lead-quality-recommendation-prioritization`](../lead-quality-recommendation-prioritization/).
- **Apply the fixes.** Adding URL or placement exclusions runs through [`mutation-safety`](../mutation-safety/)'s two-step approval, not here.