PostHog skills collection

Exploring MCP Sessions

Investigate individual PostHog MCP sessions — the sequence of tool calls a single agent made in one run, what it was trying to do, and where it went wrong.

Exploring MCP Tool Original User Motive

Build a starting-point taxonomy for an MCP tool — what users were trying to accomplish before they reached the tool — and publish it as a PostHog notebook. Reconstructs each session's goal from its opening tool calls, then clusters those…

Exploring MCP Tool Quality

Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow.

Exploring MCP Tool Usage

Starting point for exploring how a PostHog MCP server's tools are used — routes a broad question to the typed tool that answers it.

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…

Exploring Scouts

How to explore and make sense of PostHog Signals scouts — the scheduled agents that scan a project and write reports into the Signals inbox.

Feature Usage Feed

Set up an LLM-judge evaluation that extracts canonical use cases for a PostHog feature at scale and streams the results to a Slack channel as a live feed.

Filtering Bot Traffic

Identify, measure, and exclude bot / crawler / AI-agent traffic in PostHog web and product analytics using the traffic classification surface (the isLikelyBot / getTrafficType HogQL functions and the $virt virtual properties).

Finding Deleted Feature Flags

Find feature flags that were soft-deleted in the active project within a recent time window.

Finding Experiments

Resolves a PostHog experiment reference from natural language to a concrete experiment ID by browsing experiment-list (not feature-flag tools), with disambiguation when multiple experiments match.

Finding Replay For Issue

Finds the most informative session recording linked to an error tracking issue.

Finding Sessions To Watch

Guides a user from "I want to watch recordings but don't know which ones" to a short, high-signal list of sessions worth watching.

Formatting Insight Axes

Pick the right y-axis unit when creating or updating an insight via posthog:insight-create or posthog:insight-update — both TrendsQuery (trendsFilter.aggregationAxisFormat) and SQL insights (DataVisualizationNode…

Grouping Noisy Errors

Consolidate PostHog error tracking issues that are the same actual error reported under different fingerprints.

Inbox Exploration

Explore PostHog's Inbox and act on what it surfaces — the place where signal reports cluster into actionable issues and trends.

Instrument Error Tracking

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.

Instrument Feature Flags

Add PostHog feature flags to gate new functionality. Use after implementing features or reviewing PRs to ensure safe rollouts with feature flag controls. Also handles initial PostHog SDK setup if not yet installed.

Instrument Integration

Add PostHog SDK integration to your application.

Instrument LLM Analytics

Add PostHog AI Observability to trace AI model usage. Use after implementing LLM features or reviewing PRs to ensure all generations are captured with token counts, latency, and costs. Also handles initial PostHog SDK setup if not yet…

Instrument Logs

Add PostHog log capture to track application logs. Use after implementing features or reviewing PRs to ensure meaningful log events are captured with structured properties. Also handles initial OTLP exporter setup if not yet configured.