agent-analytics
FeaturedAnalytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
AI & Automation 3,226 stars
442 forks Updated today MIT
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Skill Content
# Agent Analytics — Analytics your agent can actually use
You are adding analytics tracking using Agent Analytics — the analytics platform your AI agent can actually use. Built for developers who ship lots of projects and want their AI agent to track, analyze, experiment, and optimize across all of them.
**Website:** [agentanalytics.sh](https://agentanalytics.sh)
**GitHub:** [Agent-Analytics/agent-analytics](https://github.com/Agent-Analytics/agent-analytics)
**Docs:** [docs.agentanalytics.sh](https://docs.agentanalytics.sh)
## When to Use This Skill
- User wants to add analytics tracking to a website or app
- User wants to check how their projects are doing (traffic, conversions, engagement)
- User wants to run A/B experiments on headlines, CTAs, or flows
- User wants funnel analysis, retention cohorts, or traffic breakdowns
- User asks "how's my site doing?" or "are people visiting?"
## Philosophy
You are NOT Mixpanel. Don't track everything. Track only what answers: **"Is this project alive and growing?"**
For a typical site, that's 3-5 custom events max on top of automatic page views.
## First-time setup
**Get an API key:** Sign up at [agentanalytics.sh](https://agentanalytics.sh) and generate a key from the dashboard. Alternatively, self-host the open-source version from [GitHub](https://github.com/Agent-Analytics/agent-analytics).
If the project doesn't have tracking yet:
```bash
# 1. Login (one time — uses your API key)
npx @agent-analytics/cli login --token...
Details
- Author
- davepoon
- Repository
- davepoon/buildwithclaude
- Created
- 1 years ago
- Last Updated
- today
- Language
- TypeScript
- License
- MIT
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