feature-usage-feedby posthog
Some PostHog features (group session summaries, single session summaries, replay AI search, error tracking AI debug, etc.) generate hundreds or thousands of LLM traces per week. Reading them by hand is not feasible. This skill covers the end-to-end pattern for turning that trace volume into a live Slack feed of canonical use cases — what users are actually doing with the feature.
npx skills add https://github.com/posthog/skills --skill feature-usage-feedMore skills from posthog
error-tracking-go
by posthog
PostHog error tracking for Go
integration-laravel
by posthog
PostHog integration for Laravel applications
integration-nextjs-app-router
by posthog
PostHog integration for Next.js App Router applications
logs-other
by posthog
PostHog logs for Other Languages
logs-python
by posthog
PostHog logs for Python
analyzing-experiment-session-replays
by posthog
Analyze session replay patterns across experiment variants to understand user behavior differences. Use when the user wants to see how users interact with…
auditing-experiments-flags
by posthog
Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check,…
auditing-warehouse-data-health
by posthog
This skill produces a project-wide audit of the data warehouse pipeline. Use it when the user wants a summary of everything broken , not a deep-dive on one sync. The deep-dive on individual failures is diagnosing-failed-warehouse-syncs ; this skill is the scan that tells them where to look first.