What problem does it solve?
Engineering teams with hundreds of active error tracking issues struggle to identify which ones deserve attention during daily or on-call reviews. This Skill turns a vague question like "what's broken?" into a short, prioritized list of new, spiking, or high-impact issues with suggested next actions.
Core Features & Use Cases
- Prioritized issue ranking: Queries PostHog error tracking issues ordered by distinct users affected, first-seen recency, or occurrence spikes over a configurable time window.
- Noise filtering: Separates genuinely new issues and regressions from flat-volume background noise, bot-only traffic, and browser extension errors.
- Context enrichment: Pulls sampled exception events with stack frames, URLs, and session IDs for top candidates, and links to session replays for deeper investigation.
- Use Case: During a morning on-call handoff, ask for the top errors from the last 24 hours and receive a table of issues ranked by users affected, each with a sample stack frame and a suggested action such as investigate, assign, suppress, or merge.
Quick Start
Ask the assistant to show the top new and high-impact PostHog error tracking issues from the last 24 hours with suggested actions.