Web analytics

Web Analytics Intelligence

Orchestrates a team of specialist agents to deliver business-grade analytics insights across your entire site portfolio. Not a dashboard replacement — a push-based analytics team that surfaces what matters.

Overview

This skill routes analytics requests to the right combination of specialist agents based on the requested tier, compiles their outputs into a cohesive narrative, and delivers via console, email, or Slack.

Architecture: Orchestrator (this skill) → Data Collector → Specialist Agents (parallel) → Reporter

Prerequisites

• Umami credentials in ~/.env (UMAMI_PASSWORD for the admin user)
• Sites configured in ${CLAUDE_SKILL_DIR}/references/site-registry.md
• For email delivery: /email skill working
• For Slack delivery: /slack skill working

Data Access

The skill uses direct Umami REST API calls (more reliable than MCP):

# Get auth token
TOKEN=$(curl -s "https://analytics.intentsolutions.io/api/auth/login" \
  -X POST -H "Content-Type: application/json" \
  -d '{"username":"admin","password":"'"$UMAMI_PASSWORD"'"}' | \
  python3 -c "import sys,json; print(json.load(sys.stdin).get('token',''))")

# Get stats (uses epoch ms, compare=prev for prior period)
curl -s "https://analytics.intentsolutions.io/api/websites/{SITE_ID}/stats?startAt={START_MS}&endAt={END_MS}&compare=prev" \
  -H "Authorization: Bearer $TOKEN"

# Get active visitors
curl -s "https://analytics.intentsolutions.io/api/websites/{SITE_ID}/active" \
  -H "Authorization: Bearer $TOKEN"

# Get daily pageviews
curl -s "https://analytics.intentsolutions.io/api/websites/{SITE_ID}/pageviews?startAt={START_MS}&endAt={END_MS}&unit=day&timezone=America%2FNew_York" \
  -H "Authorization: Bearer $TOKEN"

Instructions

Step 1: Parse Request

Extract from $ARGUMENTS or conversation context:

Parameter	Default	Options
Tier	mini	mini, medium, full
Site	all	Site name from registry, or all
Period	7d	today, yesterday, 7d, 30d, mtd, qtd
Delivery	console	--email, --slack, --all
Compare	auto	Previous equivalent period

Examples:

• /analytics → mini tier, all sites, 7d, console
• /analytics medium --site=tonsofskills → medium tier, one site, 7d, console
• /analytics full --period=30d --email → full tier, all sites, 30d, email delivery
• how's my traffic today? → mini tier, all sites, today, console

Step 2: Load Configuration

Read these reference files for context:

1. ${CLAUDE_SKILL_DIR}/references/site-registry.md — site config, baselines, thresholds
2. ${CLAUDE_SKILL_DIR}/references/mcp-tool-reference.md — MCP tool signatures
3. ${CLAUDE_SKILL_DIR}/references/reporting-tiers.md — output format specs (medium/full tiers)
4. ${CLAUDE_SKILL_DIR}/references/interpretation-guide.md — advisory voice standards

Step 3: Route by Tier

Mini Tier (inline — no subagents)

For mini tier, handle data collection inline to minimize latency:

1. Source ~/.env to get UMAMI_PASSWORD, then get auth token via curl
2. Calculate time range as epoch milliseconds (use date -d "2026-04-30" +%s then append 000)
3. For each site (or specified site):
   • Call /api/websites/{ID}/stats?startAt=...&endAt=...&compare=prev for aggregate metrics
   • Call /api/websites/{ID}/active for real-time visitor count
4. Compute deltas using the comparison block returned by get_stats
5. Format as mini pulse:

## Analytics Pulse — {date}

**Portfolio:** {total_visitors} visitors across {n} sites ({+/-n%} vs prior {period})

| Site | Visitors | Pageviews | Bounce | Trend |
|------|----------|-----------|--------|-------|
| {site} | {n} | {n} | {n%} | {↑↓→ n%} |

**Top Signal:** {most notable change across all sites}
**Active Now:** {n} visitors

Keep it under 15 lines. No analysis, just the numbers and one signal.

Medium Tier (4 agents)

Launch these agents using the Agent tool with subagent_type:

Phase A — Data Collection:

1. Spawn data-collector agent with instructions:
   • Sites: {sites from request}
   • Period: {calculated time range}
   • Data needed: stats, referrers, top pages, time series
   • Provide the full content of ${CLAUDE_SKILL_DIR}/references/mcp-tool-reference.md
   • Provide the full content of ${CLAUDE_SKILL_DIR}/references/site-registry.md

Phase B — Parallel Analysis (after data returns): 2. Spawn traffic-intelligence agent with data-collector output 3. Spawn content-seo agent with data-collector output (if available) 4. Spawn anomaly-detector agent with data-collector output (if available)

Phase C — Compilation: 5. Spawn reporting-narrative agent with all specialist outputs

• Tier: medium
• Delivery format: {console/email/slack}

Full Tier (all agents)

Phase A — Data Collection:

1. Spawn data-collector agent — request ALL data types including events, tech, geo

Phase B — Parallel Analysis: 2. Spawn ALL specialist agents in parallel:

• traffic-intelligence — channel/source analysis
• content-seo — page performance
• anomaly-detector — spike/drop detection
• conversion-funnel — event/goal analysis
• audience-segmentation — cohort/geo analysis

Phase C — Verification: 3. Spawn verification-agent with all specialist outputs — adversarial quality check

Phase D — Compilation: 4. Spawn reporting-narrative agent with all outputs + verification notes

• Tier: full
• Delivery format: {console/email/slack}

Step 4: Deliver

Console (default): Display the narrative report directly.

Email (--email): Invoke the /email skill with:

• To: [email protected]
• Subject: "Analytics {Tier} — {date} — {headline}"
• Body: Report content (formatted for email)

Slack (--slack): Invoke the /slack skill with:

• Channel: #operation-hired
• Message: Report content (formatted for Slack, respect 3000-char limit)

All (--all): Console + email + Slack.

Step 5: Memory Update (Full Tier Only)

For full-tier reports, spawn the memory-agent to:

• Record this period's baselines for future comparison
• Note any new referral sources or traffic patterns
• Update seasonal adjustment data if applicable

Agent Roster

Agent	File	Tier	Purpose
data-collector	${CLAUDE_SKILL_DIR}/agents/data-collector.md	All	MCP data fetching
traffic-intelligence	${CLAUDE_SKILL_DIR}/agents/traffic-intelligence.md	Medium+	Source attribution
content-seo	${CLAUDE_SKILL_DIR}/agents/content-seo.md	Medium+	Page performance
anomaly-detector	${CLAUDE_SKILL_DIR}/agents/anomaly-detector.md	Medium+	Spike/drop detection
conversion-funnel	${CLAUDE_SKILL_DIR}/agents/conversion-funnel.md	Full	Event/goal analysis
audience-segmentation	${CLAUDE_SKILL_DIR}/agents/audience-segmentation.md	Full	Cohort analysis
verification-agent	${CLAUDE_SKILL_DIR}/agents/verification-agent.md	Full	Output quality check
reporting-narrative	${CLAUDE_SKILL_DIR}/agents/reporting-narrative.md	Medium+	Narrative compilation
memory-agent	${CLAUDE_SKILL_DIR}/agents/memory-agent.md	Full	Rolling context

Troubleshooting

Issue	Resolution
"Umami MCP not connected"	Run /mcp to check server status. Ensure umami-analytics is in settings.json
Empty data for a site	Verify site ID in site-registry.md matches Umami. Run mcp__umami__get_websites to list. If all sites show zero, the tracker <script> likely isn't installed on the site (see site-registry per-site repo paths).
Slow response (>5min)	Switch to lower tier. Mini tier bypasses all subagents.
Email/Slack delivery fails	Test /email and /slack independently first
Stale baselines	Run /analytics full to trigger memory-agent baseline update