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Found 92 Skills
Inspects PostHog Visual Review (VR) runs that gate PR merges with screenshot regression checks. Use when the user mentions "visual review", "VR", "snapshot diff", "screenshot test", "storybook regression", "playwright snapshot", asks why a PR is blocked or what changed visually, wants to triage the VR backlog, decide whether a snapshot diff is real vs flaky, or check whether a story has been changing across runs. Also invoke when a PR has a failing `visual-review` status check, when a PR comment mentions "Visual review", or when the user is on a branch with an open VR run.
PostHog integration for Astro hybrid rendering with both static and server-rendered pages
PostHog integration for Angular applications
PostHog integration for Nuxt 4 applications
Add PostHog error tracking to capture and monitor exceptions. Use after implementing features or reviewing PRs to ensure errors are tracked with stack traces and source maps. Also handles initial PostHog SDK setup if not yet installed.
PostHog integration for Next.js Pages Router applications
PostHog error tracking for Node.js
Research, qualify, and suggest outreach for PostHog big fish product-led leads — large companies (500+ or 1000+ employees) using PostHog on free tier without a payment method. Use this skill when a TAE needs to work a big fish alert from Salesforce. Triggers on 'work this big fish lead', 'research this product-led lead', 'big fish alert', '500+ employees no payment method', '1000+ employees no payment method', or any request involving a large-company product-led lead that needs research, qualification, and an outreach recommendation. Also trigger when a TAE pastes Salesforce lead details with matching criteria like 'Big fish alert' or '500+ employees, no payment method'.
Create and configure surveys in PostHog through guided conversation. Use this skill when a user wants to create a survey, collect user feedback, run NPS/CSAT/CES/PMF surveys, gather product feedback, or understand user sentiment. The skill guides Product Managers through survey design by matching their goals to proven templates (or creating custom surveys), then configuring targeting and scheduling before creating via PostHog MCP tools.
PostHog integration for Expo applications
PostHog error tracking for Web (JavaScript)
Investigate LLM analytics evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and generate AI-powered summaries of patterns across many runs. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, or manage the evaluation lifecycle (create, update, enable/disable, delete).