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vZulin
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agent-analytics

Track, analyze, and optimize AI agent activity via a CLI analytics platform.

Updated Jun 3, 2026
Search Tags:#analytics#cli#agent#macos#tracking#cohorts#experiments
One-click install
npx skills add https://github.com/vZulin/overlay-clock-timer --skill agent-analytics-vzulin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-analytics
Source: https://github.com/vZulin/overlay-clock-timer/tree/main/.codex/skills/macos-design/agent-analytics
Command: npx skills add https://github.com/vZulin/overlay-clock-timer --skill agent-analytics-vzulin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents across multiple projects often lack centralized visibility into usage, performance, and growth. This skill provides a CLI-driven analytics platform to track, analyze, and optimize agent activity with experiments and cohorts.

Core Features & Use Cases

  • Event tracking: Collects interactions and lifecycle events from AI agents and client apps.
  • Experimentation: Create and analyze A/B tests to optimize prompts, flows, and outcomes.
  • Cohort analytics: Segment users and agents by behavior to understand retention, engagement, and growth.
  • Use Case: Compare feature adoption across experiments for multiple agents to guide prioritization and investment.

Quick Start

Start by authenticating with your AGENT_ANALYTICS_API_KEY and invoking the CLI via npx to begin tracking and analyzing your first project.

Frequently Asked Questions about agent-analytics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track AI agent activity and interactions across multiple projects?▼

You can track AI agent activity by using a CLI-driven analytics platform to collect interactions and lifecycle events across projects with minimal instrumentation. It centralizes visibility into usage, performance, and growth.

How do I run A/B tests and experiments to optimize AI agent prompts?▼

To optimize AI agent prompts and flows, you can use the experimentation feature to create and analyze A/B tests. This allows you to compare outcomes and guide prioritization for feature adoption.

Can I segment users by behavior for cohort analytics on macOS?▼

Yes, you can segment users and agents by behavior to perform cohort analytics on macOS. This helps you understand retention, engagement, and growth by grouping behaviors within client apps.

Do I need an API key to start tracking AI agent events with the CLI?▼

Yes, you need to set an AGENT_ANALYTICS_API_KEY environment variable and have the npx tool available. You authenticate with this key to invoke the CLI and begin collecting data.

What is the best way to analyze retention and engagement for AI agents?▼

The best way to analyze retention and engagement is using cohort analytics to segment users and agents by behavior. This approach provides centralized visibility into growth patterns across projects.

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