ClaudeSuperPower

exploring-replay-vision-observations

Skill

Guides agents through pulling a Replay Vision scanner's observations, reading the findings, and acting on them — summarizing patterns across sessions, drilling into individual recordings, and turning real, corroborated issues into PostHog tasks, insights, or an investigating-replay hand-off.\nTRIGGE

Install

git clone https://github.com/PostHog/ai-plugin.git ~/.claude/skills/exploring-replay-vision-observations

What is exploring-replay-vision-observations?

Guides agents through pulling a Replay Vision scanner's observations, reading the findings, and acting on them — summarizing patterns across sessions, drilling into individual recordings, and turning real, corroborated issues into PostHog tasks, insights, or an investigating-replay hand-off.\nTRIGGER when: user wants to pull/read/triage Replay Vision observations, asks \"what has my scanner found\", wants to act on or summarize scanner findings, turn observations into tasks/work, or points at a /replay-vision/<scanner-id> URL.\nDO NOT TRIGGER when: creating or sizing a scanner (use creating-replay-vision-scanners), running a one-off scan you don't then analyse, or authoring a signals scout.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~175 tokens of context used while enabled, before you invoke anything

Documentation

README · ~5 min read

Exploring Replay Vision observations

A scanner is a standing LLM probe over session recordings; each time it runs against a session it records one observation. This skill is about the other half of the loop — reading what the scanners have found and doing something useful with it. For creating or sizing scanners, use [[creating-replay-vision-scanners]].

Mental model

  • Scanner → observations. One observation = one scan of one session. There is at most one observation per (scanner, session).
  • The finding lives in scanner_result. Its shape depends on the scanner's scanner_type, but it always carries a confidence:
    • monitor → a verdict (yes / no / inconclusive) plus an open-ended observation.

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