Agent Analytics
Use AI agents for product analytics to drive growth decisions
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agent Analytics. It is used for: Use AI agents for product analytics to drive growth decisions Full Skill content: https://321skill.com/skills/agent-analytics-x-6/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
This Skill addresses the inefficiency product teams face when analyzing user behavior. Traditional tools require manual event configuration, SQL writing, or frequent dashboard switching. Agent Analytics enables AI agents to directly perform analytical tasks—from setting up tracking to interpreting funnel, retention, and experiment data—entirely through natural language interaction.
Usage is straightforward: simply run npx @agent-analytics/cli@0.5.34 login in your terminal to authorize via your browser, after which you can query product data using natural language commands. For example, you can say "Show the user retention curve for the last 7 days" or "Analyze the drop-off steps in the conversion funnel." The AI agent will automatically invoke CLI commands like retention and funnel, compiling the results into a readable report.
It is ideal for data analysts, product managers, and growth engineers who need quick product insights. This is especially true for teams already using tools like Amplitude or Mixpanel but wanting to reduce manual work and context switching, as well as developers looking to embed product analytics capabilities directly within AI coding assistants (e.g., Claude Code, Cursor).
We recommend adopting it as the default tool for teams seeking a unified analytics entry point. Note that it primarily relies on the CLI to communicate with the Agent Analytics cloud service, requiring network connectivity and browser login. For fully headless environments (e.g., CI/CD), use the --detached mode to handle authentication.
Key Features
Unlike traditional analytics tools (e.g., Amplitude, Mixpanel), Agent Analytics is driven by AI agents via natural language, eliminating the need for manual event configuration or SQL writing. It features a built-in consent-based privacy tracking mechanism and supports seamless switching between CLI and browser login.
Limitations
Requires the npx runtime environment and browser login authentication. CLI version 0.5.34 is required. Does not support direct API calls or offline use. The free tier has read limits.
FAQ
How do I install Agent Analytics?
Run `npx --yes @agent-analytics/cli@0.5.34 login` in your terminal, then follow the prompts to complete browser authorization.
Does it support custom events and properties?
Yes. You can use the `events` and `properties` commands to view existing events/properties, or create a new project and configure events via the `create` command.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-analytics-x-6/raw/index.md to read the original Skill definition (Markdown format) for Agent Analytics, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-analytics-x-6/raw/index.md