ga4-data-api-query
Build a runReport request against the GA4 Data API v1 — pick valid metric/dimension combinations, set date ranges that respect data-freshness limits, apply filters, paginate large result sets, handle sampling thresholds. Trigger with "query GA4", "GA4 Data API", "runReport", "fetch GA4 metrics", "GA4 pageviews", "GA4 sessions".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill ga4-data-api-query --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GA4 Data API v1 — runReport The Data API v1 is the canonical read path for GA4. One endpoint (`runReport`) covers most use cases. Two paths matter for picking the right query: **dimensions** describe rows (date, page, source), **metrics** describe values (sessions, users, events). Not every combination is valid — see "Compatibility" below. Prerequisite: auth working (see `ga4-auth-setup`). ## Th
What does the ga4-data-api-query skill do?
Build a runReport request against the GA4 Data API v1 — pick valid metric/dimension combinations, set date ranges that respect data-freshness limits, apply filters, paginate large result sets, handle sampling thresholds. Trigger with "query GA4", "GA4 Data API", "runReport", "fetch GA4 metrics", "GA4 pageviews", "GA4 sessions".
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill ga4-data-api-query --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
