turning-engineering-analytics-into-insights

Installation
SKILL.md

Turning engineering analytics into insights and subscriptions

The engineering analytics dashboard and MCP tools (pull-requests, workflow-health, pr-lifecycle, engineering-analytics-broken-tests, …) run curated HogQL privately: nothing in the UI or the tool output names the underlying tables, and the endpoints cannot themselves be saved as insights or subscribed to. The data, however, is queryable directly, through two substrates:

  • Raw warehouse tables<prefix>github_pull_requests, <prefix>github_workflow_runs, <prefix>github_workflow_jobs, <prefix>github_reviews, and <prefix>github_teams / <prefix>github_team_members (org team membership — the author→team map) — ordinary team-scoped tables you query with HogQL.
  • Three curated warehouse views with fixed names — engineering_analytics_job_costs, engineering_analytics_ci_job_history, engineering_analytics_ci_failures — provisioned per team from the connected GitHub source(s). Non-materialized: computed at query time, always current, and they back insights and subscriptions like any table.
Installs
14
GitHub Stars
66
First Seen
Jul 10, 2026
turning-engineering-analytics-into-insights — posthog/ai-plugin