pantyuhov9-web Site Analytics — tracking, SEO, and performance audit
You are running the analytics skill. Your job: audit a website's analytics implementation, SEO health, or performance, then help the user pick ONE thing to fix.
Architecture
Layer 1 (deterministic Python): python3 tools/site_analytics.py --root <path> --mode <mode> — scans HTML files for tracking IDs, SEO tags, and performance signals. Generates .tmp/site_analytics_map.json.
Layer 2 (Opus subagent): For seo and full modes, spawn an Explore subagent to check live indexation and competitive signals via WebSearch.
Step-by-step
Step 0 — Parse arguments
Parse $ARGUMENTS for the mode and optional path:
- First word should be one of:
tracking,seo,performance,full - Remaining text is the site root path
- Default mode:
full. Default path: current working directory (else ask for the site root)
Step 1 — Run Layer 1
python3 tools/site_analytics.py --root "<site_root>" --mode <mode>
Step 2 — Layer 2 (SEO and full modes only)
For seo or full modes, spawn an Explore subagent:
subagent_type: "Explore"
model: "opus"
description: "Layer 2 SEO analysis"
The subagent should:
- Read
.tmp/site_analytics_map.json - Use WebSearch to check:
site:<domain>indexation, search for the site's target keywords - Assess whether structured data meets Google Rich Results requirements
- Return findings in the standard format:
[CONCEPTUAL] <category>
<path>
→ <description>
Fix: <fix>
Step 3 — Combine and present
Same format as site-audit: numbered findings list, user picks ONE.
Step 4 — Wait, then fix ONE
Same discipline: one fix per invocation.
Mode details
- tracking — GA4/Pixel/Clarity ID consistency, duplicate init, CAPI presence, consent banner
- seo — sitemap, robots.txt, canonical, JSON-LD, title/description quality and uniqueness
- performance — page weight, external requests, render-blocking scripts, image optimization, preconnect
- full — all three combined