PostHog
Official@posthog · San Francisco, California
The single platform to analyze, test, observe, and deploy new features
Agent Skills by PostHog
Showing 342 vetted skills indexed across 5 GitHub repositories.
PostHogclickhouse-autoresearch-campaign
Runs autonomous ClickHouse query optimization campaigns with baseline capture, correctness checks, and lane-based hypothesis testing.
PostHoginvestigating-metric-anomalies
Diagnoses server metric anomalies by correlating metrics, logs, and traces to root causes.
PostHogdownloading-batch-export-files
Export PostHog events, persons, sessions, or HogQL query results and download Parquet or JSONLines files.
PostHogfinding-deleted-feature-flags
Finds soft-deleted PostHog feature flags within a time window by cross-referencing SQL results with per-flag activity logs.
PostHogcopying-flags-across-projects
Copies a PostHog feature flag from one project to multiple target projects in the same organization.
PostHogcontext-layer-consolidation
Consolidate context wiki Markdown pages using a deterministic lint report queue.
PostHogcontext-layer-dreaming
Synthesizes recent organizational activity into a durable, sourced context wiki.
PostHogcontext-layer-health-check
Reviews context wiki quality using wiki-miss signals from git merge logs.
PostHogexploring-apm-traces
Investigates distributed OpenTelemetry traces and spans in PostHog APM via MCP tools.
PostHogexploring-mcp-sessions
Investigate individual PostHog MCP sessions by listing, reading tool calls, and summarizing agent goals.
PostHogexploring-mcp-tool-usage
Routes broad questions about PostHog MCP server tool usage to typed analytics query tools.
PostHogimproving-mcp-tools
Runs eval-backed iterations that measure, fix, and validate MCP tool improvements.
PostHogexploring-mcp-tool-original-user-motive
Reconstructs session goals from MCP tool-call telemetry and publishes a clustered taxonomy as a PostHog notebook.
PostHogdebugging-mcp-analytics
Diagnose missing or incorrect PostHog MCP analytics events, sessions, and intent clusters.
PostHogexploring-mcp-intent-clusters
Analyze PostHog MCP intent clusters to reveal agent goals, tool routing, and error rates.
PostHogexploring-mcp-tool-quality
Analyze error rates, latency, and reach of PostHog MCP tool calls.
PostHogtriaging-error-issues
Ranks PostHog error tracking issues by users affected and recency for daily triage reviews.
PostHoginvestigating-error-issue
Investigates a PostHog error tracking issue end-to-end with metrics, breakdowns, and replays.
PostHogdiagnosing-stacktrace-symbolication
Diagnose PostHog Error Tracking stack-trace symbolication failures across JavaScript, React Native, Android, and iOS builds.
PostHoggrouping-noisy-errors
Merge duplicate PostHog error tracking issues and create grouping rules for future events.
PostHogauthoring-error-tracking-alerts
Create PostHog error tracking alerts routed to Slack, webhooks, or issue trackers.
PostHogworking-with-task-comments
Read and paginate task, artifact, and canvas comments through the PostHog MCP exec dispatcher.
PostHoganalyzing-task-runs
Analyze PostHog task run logs for inefficiencies and report evidence-backed findings.
PostHogresolving-ingestion-warnings
Diagnoses and resolves PostHog ingestion warnings for dropped or malformed events.
Frequently Asked Questions About PostHog
FAQPage SchemaWhat specific tasks can I perform using PostHog's data capabilities?▼
You can execute complex data analysis using HogQL, manage A/B test experiment lifecycles, track product metrics via funnels, and ingest external data warehouse sources for unified reporting.
Which technical personas benefit most from these integrations?▼
Full-stack developers, product engineers, and data analysts benefit from the standardized instrumentation patterns for web, mobile, and backend environments, including Next.js, React, Swift, and Go.
What are the primary dependencies for implementing PostHog observability?▼
Implementation requires integrating the relevant language-specific SDK or OpenTelemetry OTLP exporter into your codebase, followed by environment-based configuration to enable event capture, error tracking, and feature flag evaluation.