instrument-llm-analyticsby posthog
Use this skill to add PostHog LLM analytics that trace AI model usage in new or changed code. Use it after implementing LLM features or reviewing PRs to ensure all generations are captured with token counts, latency, and costs. If PostHog is not yet installed, this skill also covers initial SDK setup. Supports any provider or framework.
npx skills add https://github.com/posthog/skills --skill instrument-llm-analyticsMore 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.