# PostHog

> Use this tool when you need to streamline product analytics and drive data-driven decisions. PostHog solves problems related to dashboard management, feature flag implementation, and A/B experimentation by providing a centralized workflow for insights and data analysis. It accepts inputs such as HogQL queries and application logs, and outputs actionable insights and experiment results to inform product development.

Canonical page: https://skillsregistry.net/skills/posthog  
JSON: https://api.skillsregistry.net/v1/skills/posthog

## Description

Manage dashboards, insights, and feature flags directly within your product analytics workflow. Run complex HogQL queries, launch A/B experiments, and monitor application logs to drive data-driven decisions. Streamline development by creating surveys and searching documentation for seamless platform integration.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/PostHog)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "posthog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/posthog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/posthog/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt