ga4
Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.
Best use case
ga4 is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.
Teams using ga4 should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ga4/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ga4 Compares
| Feature / Agent | ga4 | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# GA4 - Google Analytics 4 Data API Query GA4 properties for analytics data: page views, sessions, users, traffic sources, conversions, and more. ## Setup (one-time) 1. Enable Google Analytics Data API: https://console.cloud.google.com/apis/library/analyticsdata.googleapis.com 2. Create OAuth credentials or use existing Google Cloud project 3. Set environment variables: - `GA4_PROPERTY_ID` - Your GA4 property ID (numeric, e.g., "123456789") - `GOOGLE_CLIENT_ID` - OAuth client ID - `GOOGLE_CLIENT_SECRET` - OAuth client secret - `GOOGLE_REFRESH_TOKEN` - OAuth refresh token (from initial auth flow) ## Common Queries ### Top Pages (by pageviews) ```bash python3 scripts/ga4_query.py --metric screenPageViews --dimension pagePath --limit 30 ``` ### Top Pages with Sessions & Users ```bash python3 scripts/ga4_query.py --metrics screenPageViews,sessions,totalUsers --dimension pagePath --limit 20 ``` ### Traffic Sources ```bash python3 scripts/ga4_query.py --metric sessions --dimension sessionSource --limit 20 ``` ### Landing Pages ```bash python3 scripts/ga4_query.py --metric sessions --dimension landingPage --limit 30 ``` ### Custom Date Range ```bash python3 scripts/ga4_query.py --metric sessions --dimension pagePath --start 2026-01-01 --end 2026-01-15 ``` ### Filter by Page Path ```bash python3 scripts/ga4_query.py --metric screenPageViews --dimension pagePath --filter "pagePath=~/blog/" ``` ## Available Metrics Common metrics: `screenPageViews`, `sessions`, `totalUsers`, `newUsers`, `activeUsers`, `bounceRate`, `averageSessionDuration`, `conversions`, `eventCount` ## Available Dimensions Common dimensions: `pagePath`, `pageTitle`, `landingPage`, `sessionSource`, `sessionMedium`, `sessionCampaignName`, `country`, `city`, `deviceCategory`, `browser`, `date` ## Output Formats Default: Table format Add `--json` for JSON output Add `--csv` for CSV output
Related Skills
portfolio-watcher
Monitor stock/crypto holdings, get price alerts, track portfolio performance
portainer
Control Docker containers and stacks via Portainer API. List containers, start/stop/restart, view logs, and redeploy stacks from git.
portable-tools
Build cross-device tools without hardcoding paths or account names
polymarket
Trade prediction markets on Polymarket. Analyze odds, place bets, track positions, automate alerts, and maximize returns from event outcomes. Covers sports, politics, entertainment, and more.
polymarket-traiding-bot
No description provided.
polymarket-analysis
Analyze Polymarket prediction markets for trading edges. Pair Cost arbitrage, whale tracking, sentiment analysis, momentum signals, user profile tracking. No execution.
polymarket-agent
Autonomous prediction market agent - analyzes markets, researches news, and identifies trading opportunities
polymarket-5
Query Polymarket prediction markets. Use for questions about prediction markets, betting odds, market prices, event probabilities, or when user asks about Polymarket data.
polymarket-4
Query Polymarket prediction markets. Use for questions about prediction markets, betting odds, market prices, event probabilities, or when user asks about Polymarket data.
polymarket-3
Query Polymarket prediction market odds and events via CLI. Search for markets, get current prices, list events by category. Supports sports betting (NFL, NBA, soccer/EPL, Champions League), politics, crypto, elections, geopolitics. Real money markets = more accurate than polls. No API key required. Use when asked about odds, probabilities, predictions, or "what are the chances of X".
polymarket-2
Query Polymarket prediction markets - check odds, trending markets, search events, track prices.
pollinations
Pollinations.ai API for AI generation - text, images, videos, audio, and analysis. Use when user requests AI-powered generation (text completion, images, videos, audio, vision/analysis, transcription) or mentions Pollinations. Supports 25+ models (OpenAI, Claude, Gemini, Flux, Veo, etc.) with OpenAI-compatible chat endpoint and specialized generation endpoints.