What problem does it solve?
Browser automation agents rediscover selectors, steps, and blockers from scratch on every run, wasting tokens and time on sites they have already visited. This Skill persists completed task traces into a local knowledge store and recalls them before new tasks, so repeated or similar tasks complete faster with fewer steps.
Core Features & Use Cases
- experience_save: Persist a completed task's trace (selectors, steps, blockers, outcome) into a file-backed YAML knowledge store, with success and failure paths both recorded.
- experience_query: Retrieve prior knowledge before starting a task, returning a replay tier (P1 direct replay through P5 cold start) with confidence scores, primary selectors, and known blockers.
- experience_list: Inspect stored knowledge entries per domain for diagnostics and debugging.
- Use Case: An agent extracting product details from Amazon product pages queries stored knowledge first, replays verified selectors at tier P2, and saves the new trace afterward so the next visit runs at higher confidence.
Quick Start
Ask the agent to query prior experience for a target URL before running a browser4-cli agent task, then save the resulting trace after the task completes.