What problem does it solve?
This Skill guides teams to explore $autocapture events captured by posthog-js, helping understand what users click, identify stable selectors (especially data-attr attributes), and reason about the element chains stored in the elements_chain column. It clarifies how to work with the autocapture data to build reliable analytics queries and actions.
Core Features & Use Cases
- Materialized insights: leverage the events table and materialized columns (e.g., elements_chain, elements_chain_texts, elements_chain_ids, elements_chain_elements) for fast exploration without heavy parsing.
- Selector discovery: find candidate selectors using data-attr values, IDs, or tag+class combinations, and assess their uniqueness.
- Ad-hoc to action: craft example queries and steps to identify interactions, then create actions or trends analyses based on the results.
- Use Case: Discover what users click on a pricing page by analyzing $autocapture events and visualizing common selectors.
Quick Start
Run an initial check to confirm $autocapture data exists, then begin exploring common interactions using materialized columns to identify candidate selectors.
