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agent-analytics

Web analytics platform that AI agents can query via CLI. Track page views, custom events, run A/B experiments, analyze funnels, retention cohorts, and traffic heatmaps. Use when the user needs web analytics, visitor tracking, event tracking, conversion optimization, growth insights, A/B testing, or wants to add analytics to their website or app. Also available as an MCP server at mcp.agentanalytics.sh.

dannyshmueli0 source installs☆ 0 Repository starsv3.7.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install dannyshmueli/agent-analytics

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Agent Analytics — Stop juggling dashboards. Let your agent do it.

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.

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 and generate a key from the dashboard. Alternatively, self-host the open-source version from GitHub.

If the project doesn't have tracking yet:

# 1. Login (one time — uses your API key)
npx @agent-analytics/cli login --token aak_YOUR_API_KEY

# 2. Create the project (returns a project write token)
npx @agent-analytics/cli create my-site --domain https://mysite.com

# 3. Add the snippet (Step 1 below) using the returned token
# 4. Deploy, click around, verify:
npx @agent-analytics/cli events my-site

The create command returns a project write token — use it as data-token in the snippet below. This is separate from your API key (which is for reading/querying).

Step 1: Add the tracking snippet

The create command returns a tracking snippet with your project token — add it before </body>. It auto-tracks page_view events with path, referrer, browser, OS, device, screen size, and UTM params. You do NOT need to add custom page_view events.

Step 1b: Discover existing events (existing projects)

If tracking is already set up, check what events and property keys are already in use so you match the naming:

npx @agent-analytics/cli properties-received PROJECT_NAME

This shows which property keys each event type uses (e.g. cta_click → id, signup → method). Mat...

Source information

Source
github
Repository
openclaw/skills
Path
skills/dannyshmueli/agent-analytics
Version
3.7.0
Commit
ad0ed04b66cba3be31ba0cd1181a1aefddc09e9f
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Agent Analytics — Stop juggling dashboards. Let your agent do it.

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.

## 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 aak_YOUR_API_KEY

# 2. Create the project (returns a project write token)
npx @agent-analytics/cli create my-site --domain https://mysite.com

# 3. Add the snippet (Step 1 below) using the returned token
# 4. Deploy, click around, verify:
npx @agent-analytics/cli events my-site
```

The `create` command returns a **project write token** — use it as `data-token` in the snippet below. This is separate from your API key (which is for reading/querying).

## Step 1: Add the tracking snippet

The `create` command returns a tracking snippet with your project token — add it before `</body>`. It auto-tracks `page_view` events with path, referrer, browser, OS, device, screen size, and UTM params. You do NOT need to add custom page_view events.

## Step 1b: Discover existing events (existing projects)

If tracking is already set up, check what events and property keys are already in use so you match the naming:

```bash
npx @agent-analytics/cli properties-received PROJECT_NAME
```

This shows which property keys each event type uses (e.g. `cta_click → id`, `signup → method`). Mat...

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