skills/google-analytics/SKILL.md
Pull GA4 reports, traffic data, and insights from the Google Analytics Data API. Use when asked about website traffic, user behavior, acquisition channels, conversions, or audience segments. Trigger phrases: "google analytics", "GA4", "traffic report", "analytics data", "user acquisition", "engagement metrics", "conversion tracking", "audience segments", "page views", "sessions".
npx skillsauth add OpenClaudia/openclaudia-skills google-analyticsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Pull reports and insights from GA4 using the Google Analytics Data API.
Requires Google OAuth credentials:
GOOGLE_CLIENT_IDGOOGLE_CLIENT_SECRETSet credentials in .env, .env.local, or ~/.claude/.env.global.
# Step 1: Get authorization code (user must visit this URL in browser)
echo "https://accounts.google.com/o/oauth2/v2/auth?client_id=${GOOGLE_CLIENT_ID}&redirect_uri=urn:ietf:wg:oauth:2.0:oob&scope=https://www.googleapis.com/auth/analytics.readonly&response_type=code&access_type=offline"
# Step 2: Exchange code for tokens
curl -s -X POST "https://oauth2.googleapis.com/token" \
-d "code={AUTH_CODE}" \
-d "client_id=${GOOGLE_CLIENT_ID}" \
-d "client_secret=${GOOGLE_CLIENT_SECRET}" \
-d "redirect_uri=urn:ietf:wg:oauth:2.0:oob" \
-d "grant_type=authorization_code"
# Step 3: Refresh an expired token
curl -s -X POST "https://oauth2.googleapis.com/token" \
-d "refresh_token={REFRESH_TOKEN}" \
-d "client_id=${GOOGLE_CLIENT_ID}" \
-d "client_secret=${GOOGLE_CLIENT_SECRET}" \
-d "grant_type=refresh_token"
Store the refresh token securely. The access token expires after 1 hour.
curl -s -H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
"https://analyticsadmin.googleapis.com/v1beta/accountSummaries" \
| python3 -c "
import json, sys
data = json.load(sys.stdin)
for acct in data.get('accountSummaries', []):
for prop in acct.get('propertySummaries', []):
print(f\"{prop['property']} | {prop.get('displayName','')} | Account: {acct.get('displayName','')}\")
"
The property ID format is properties/XXXXXXXXX.
POST https://analyticsdata.googleapis.com/v1beta/{property_id}:runReport
All report requests use POST with a JSON body. Always include Authorization: Bearer {ACCESS_TOKEN}.
Get sessions, users, page views, and engagement rate over a date range.
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"metrics": [
{"name": "sessions"},
{"name": "totalUsers"},
{"name": "newUsers"},
{"name": "screenPageViews"},
{"name": "engagementRate"},
{"name": "averageSessionDuration"},
{"name": "bounceRate"}
]
}'
today, yesterday7daysAgo, 14daysAgo, 28daysAgo, 30daysAgo, 90daysAgo2024-01-01See where users come from (channels, sources, campaigns).
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "sessionDefaultChannelGroup"}
],
"metrics": [
{"name": "sessions"},
{"name": "totalUsers"},
{"name": "engagementRate"},
{"name": "conversions"}
],
"orderBys": [{"metric": {"metricName": "sessions"}, "desc": true}],
"limit": 20
}'
| Dimension | Description |
|-----------|-------------|
| sessionDefaultChannelGroup | Channel grouping (Organic, Paid, Social, etc.) |
| sessionSource | Traffic source (google, facebook, etc.) |
| sessionMedium | Medium (organic, cpc, referral, etc.) |
| sessionCampaignName | UTM campaign name |
| firstUserSource | First-touch attribution source |
Find the highest-traffic pages on the site.
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "pagePath"}
],
"metrics": [
{"name": "screenPageViews"},
{"name": "totalUsers"},
{"name": "engagementRate"},
{"name": "averageSessionDuration"}
],
"orderBys": [{"metric": {"metricName": "screenPageViews"}, "desc": true}],
"limit": 25
}'
Understand how users interact with your content.
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "pagePath"}
],
"metrics": [
{"name": "engagedSessions"},
{"name": "engagementRate"},
{"name": "averageSessionDuration"},
{"name": "screenPageViewsPerSession"},
{"name": "eventCount"}
],
"orderBys": [{"metric": {"metricName": "engagedSessions"}, "desc": true}],
"limit": 20
}'
| Metric | What It Measures |
|--------|-----------------|
| engagementRate | % of sessions that were engaged (>10s, 2+ pages, or conversion) |
| averageSessionDuration | Mean session length in seconds |
| screenPageViewsPerSession | Pages per session |
| bounceRate | % of sessions with no engagement |
| eventCount | Total events fired |
Report on conversion events (purchases, signups, etc.).
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "eventName"}
],
"metrics": [
{"name": "eventCount"},
{"name": "totalUsers"},
{"name": "eventValue"}
],
"dimensionFilter": {
"filter": {
"fieldName": "eventName",
"inListFilter": {
"values": ["purchase", "sign_up", "generate_lead", "begin_checkout"]
}
}
}
}'
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "sessionDefaultChannelGroup"}
],
"metrics": [
{"name": "sessions"},
{"name": "conversions"},
{"name": "totalRevenue"}
],
"orderBys": [{"metric": {"metricName": "conversions"}, "desc": true}]
}'
Break down traffic by device, geography, and demographics.
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [{"name": "deviceCategory"}],
"metrics": [
{"name": "sessions"},
{"name": "totalUsers"},
{"name": "engagementRate"},
{"name": "conversions"}
]
}'
Replace deviceCategory with country in the dimensions.
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [{"startDate": "30daysAgo", "endDate": "today"}],
"dimensions": [
{"name": "landingPage"},
{"name": "sessionSource"}
],
"metrics": [
{"name": "sessions"},
{"name": "engagementRate"},
{"name": "conversions"}
],
"orderBys": [{"metric": {"metricName": "sessions"}, "desc": true}],
"limit": 30
}'
Compare two time periods to identify trends.
curl -s -X POST \
"https://analyticsdata.googleapis.com/v1beta/properties/{PROPERTY_ID}:runReport" \
-H "Authorization: Bearer ${GA_ACCESS_TOKEN}" \
-H "Content-Type: application/json" \
-d '{
"dateRanges": [
{"startDate": "30daysAgo", "endDate": "today", "name": "current"},
{"startDate": "60daysAgo", "endDate": "31daysAgo", "name": "previous"}
],
"metrics": [
{"name": "sessions"},
{"name": "totalUsers"},
{"name": "conversions"},
{"name": "engagementRate"}
]
}'
GA4 API returns JSON. Parse with python3 or jq:
# Parse report into a table
curl -s -X POST "..." | python3 -c "
import json, sys
data = json.load(sys.stdin)
headers = [h['name'] for h in data.get('dimensionHeaders',[])] + [m['name'] for m in data.get('metricHeaders',[])]
print(' | '.join(headers))
print('-' * (len(headers) * 20))
for row in data.get('rows', []):
dims = [d['value'] for d in row.get('dimensionValues',[])]
mets = [m['value'] for m in row.get('metricValues',[])]
print(' | '.join(dims + mets))
"
When asked for a monthly report:
Present as a structured report with tables, trends (up/down arrows), and recommendations:
## Monthly Analytics Report: {Property Name}
### Period: {date range} vs {previous period}
### Traffic Summary
| Metric | Current | Previous | Change |
|--------|---------|----------|--------|
| Sessions | X | Y | +Z% |
| ...
### Top Channels
...
### Top Pages
...
### Conversion Summary
...
### Recommendations
- [Based on data patterns]
properties/XXXXXXXXX)testing
Edit podcast audio — trim pre/post-show chat, remove filler words, cut silences, and enhance audio quality. Use when the user asks to edit a podcast, clean up audio, remove fillers, trim a recording, or improve voice quality.
data-ai
Generate images using AI (OpenAI GPT Image or Stability AI). Use when the user asks to generate an image, create an AI image, make an illustration, or produce artwork from a text prompt.
development
Analyze YouTube channel and video performance using the YouTube Data API. Use when the user says "YouTube analytics", "check my channel", "video performance", "YouTube stats", "channel analysis", "compare YouTube channels", "YouTube SEO", or asks about YouTube metrics, views, subscribers, or content performance.
development
Create high-converting landing page copy and structure. Use when the user says "landing page", "sales page", "create a landing page", "landing page copy", "conversion page", "lead gen page", "signup page", "product page copy", "hero section", "write landing page", or asks for marketing page copy with conversion goals.