What problem does it solve?
When an error tracking issue appears in PostHog, understanding who it affects, what triggers it, and whether a release or feature flag caused it requires manually assembling data from many queries. This Skill automates that investigation in one pass, producing a hypothesis-grade summary.
Core Features & Use Cases
- Issue Baseline & Sparkline: Fetches compact issue details (status, assignee, top frame, occurrences, users, sessions) plus a volume sparkline to classify the error's shape (spike, ramp, steady, bursts).
- Segment Breakdowns via SQL: Runs targeted breakdowns by app version, release, browser, OS, URL, or feature flag variant to isolate the cause, with correct handling of
$app_version vs $lib_version vs $exception_releases.
- Context Reconstruction: Pulls surrounding session events, session-replay console logs, and OTEL server logs around the exception timestamp, and links representative session recordings.
- Use Case: A user pastes an issue URL like
/error_tracking/<id> and asks "what's going on with this error?" — the Skill returns what the error is, who it affects, when it started, the likely cause, and a concrete next step.
Quick Start
Investigate this PostHog error tracking issue and tell me who it affects, when it started, and the likely cause: /error_tracking/<issue_id>.