Agent Analytics
AI Agent-Driven Product Analytics Tool
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: AI Agent-Driven Product Analytics Tool Full Skill content: https://321skill.com/skills/agent-analytics-x-8/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 pain points of product teams frequently switching between tools and manually configuring dashboards for data analysis. In practice, product managers and data analysts need to quickly understand metrics like user behavior funnels, retention rates, and experiment results. However, traditional analytics tools often require complex SQL queries or cumbersome UI operations, leading to delayed decision-making. Agent Analytics enables AI agents to perform product analysis directly via natural language instructions, without leaving the coding environment.
Usage is straightforward: simply run npx --yes @agent-analytics/cli@0.5.34 login in your terminal to complete browser-based authorization. After logging in, you can query project data using natural language instructions, such as "Show me the sign-up funnel for the last 7 days" or "Analyze last week's retention curve." The system will automatically invoke the corresponding CLI commands (e.g., funnel, retention) and return structured results. You can also instruct the AI agent to recommend the next growth actions based on the data.
It is particularly suitable for teams or individuals who need to iterate products rapidly and frequently analyze user behavior. Especially for developers already using AI coding assistants (like Claude Code or Cursor), this tool allows them to complete both coding and product data analysis within the same workflow, eliminating context switching. Product managers, data analysts, and growth hackers can all benefit from it.
We recommend consistently using this tool for user behavior analysis to avoid manually piecing together data. Note that it primarily relies on browser-based login authorization and is not suitable for purely headless environments. The free tier has read limits, and high-frequency usage requires upgrading to Pro. Additionally, all commands must be executed via npx; do not call the API directly or use curl.
Key Features
Unlike traditional analytics tools such as Mixpanel or Amplitude, Agent Analytics leverages AI agents to execute analysis commands directly through natural language interaction, eliminating the need for manual dashboard configuration or SQL writing, and can automatically recommend minimal viable growth actions based on the data.
Limitations
Requires an npx environment (Node.js), depends on browser-based login authorization, the free tier has read limits, the Pro version requires a paid upgrade, and it does not support purely headless runtime (requires detached mode).
FAQ
Is an API Key required?
No, browser-based login authorization is sufficient. No API Key is needed for normal setup.
Which analysis commands are supported?
Supports fixed commands such as `projects`, `all-sites`, `create`, `stats`, `insights`, `events`, `funnel`, `retention`, and `experiments`. The `report` command is not supported; you need to aggregate results manually.
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-8/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-8/raw/index.md