Claude Skills Guide

Claude Code for Amplitude Analytics Workflow

Integrating Claude Code with Amplitude analytics empowers developers to track events, analyze user behavior, and derive actionable insights directly from their development workflow. This guide walks you through building Claude skills that interact with Amplitude’s API, enabling automated analytics operations without leaving your coding environment.

Why Integrate Claude Code with Amplitude?

Amplitude is a product analytics platform that helps teams understand how users interact with applications. By combining Claude Code’s natural language processing with Amplitude’s analytics capabilities, you can:

This integration bridges the gap between development and product analytics, enabling developers to work more efficiently with data.

Setting Up Amplitude API Access

Before building Claude skills for Amplitude, ensure you have proper API credentials. Amplitude provides two types of API keys:

  1. Analytics API Key - For sending events (use in your mobile/web apps)
  2. Management API Key - For administrative operations via the Management API

Creating a Claude Skill for Amplitude Event Tracking

Here’s a skill that tracks custom events to Amplitude:

---
name: track-event
description: "Track a custom event to Amplitude analytics"
---

# Track Event to Amplitude

Track a custom analytics event to Amplitude. Provide:
- Event name (required)
- User ID or device ID (required)  
- Event properties (optional)
- Timestamp (optional, defaults to now)

## Usage

Simply describe the event you want to track:
- "Track a 'button_click' event for user 'user123'"
- "Log 'purchase_complete' with properties {plan: 'pro', amount: 99}"

I'll send the event to Amplitude using the Analytics API.

The skill implementation uses a Python script to send events:

#!/usr/bin/env python3
import requests
import json
import sys

AMPLITUDE_API_KEY = "your-analytics-api-key"
AMPLITUDE_URL = "https://api.amplitude.com/2/httpapi"

def track_event(event_name, user_id, properties=None, timestamp=None):
    """Send an event to Amplitude."""
    
    event = {
        "event_type": event_name,
        "user_id": user_id,
        "time": timestamp or "",
        "event_properties": properties or {}
    }
    
    payload = {
        "api_key": AMPLITUDE_API_KEY,
        "events": [event]
    }
    
    response = requests.post(AMPLITUDE_URL, json=payload)
    return response.status_code == 200

if __name__ == "__main__":
    # Parse arguments from Claude
    event_name = sys.argv[1]
    user_id = sys.argv[2]
    properties = json.loads(sys.argv[3]) if len(sys.argv) > 3 else {}
    
    success = track_event(event_name, user_id, properties)
    print(f"Event tracked: {success}")

Querying Amplitude Data with Claude Skills

Beyond tracking events, you can query Amplitude to retrieve analytics insights. The Management API allows you to run queries and fetch results.

Building an Analytics Query Skill

---
name: amplitude-query
description: "Query Amplitude analytics data"
---

# Query Amplitude Analytics

Run queries against your Amplitude data. Supported query types:
- **Active Users** - Count of unique users in a time range
- **Event Counts** - Number of times specific events occurred
- **User Segments** - Breakdown of users by property
- **Funnels** - Conversion rates between event sequences
- **Retention** - User return rates over time

## Examples

- "How many users active in the last 7 days?"
- "Show purchase event counts for last month"
- "What's our signup to activation funnel conversion?"

Provide the metric you want and the time range, and I'll query Amplitude and present the results.

Python Query Implementation

#!/usr/bin/env python3
import requests
import os
from datetime import datetime, timedelta

AMPLITUDE_SECRET_KEY = os.environ.get("AMPLITUDE_SECRET_KEY")

def query_active_users(start_date, end_date):
    """Query active users from Amplitude."""
    
    url = "https://api.amplitude.com/2/query"
    
    payload = {
        "api_key": AMPLITUDE_SECRET_KEY,
        "application": "claude-code-skill",
        "requests": [{
            "metrics": [{"active_users": {}}],
            "filters": [],
            "groups": [],
            "date_range": {
                "start": start_date,
                "end": end_date
            }
        }]
    }
    
    response = requests.post(url, json=payload)
    
    if response.status_code == 200:
        data = response.json()
        return data.get("results", [{}])[0].get("series", [[]])[0][0]
    return None

# Calculate date range
end_date = datetime.now().strftime("%Y-%m-%d")
start_date = (datetime.now() - timedelta(days=7)).strftime("%Y-%m-%d")

active_users = query_active_users(start_date, end_date)
print(f"Active users: {active_users}")

Creating Automated Reporting Workflows

Combine multiple skills to build comprehensive reporting workflows. Here’s how to create a daily analytics summary skill.

Daily Summary Skill Structure

---
name: daily-analytics-summary
description: "Generate daily Amplitude analytics summary"
---

# Daily Analytics Summary

Generate a comprehensive daily analytics report including:
- Daily active users (DAU)
- Key event counts
- Top user segments
- Anomaly alerts

The skill runs queries against Amplitude and formats the results into a readable markdown report.

Automated Report Generation Script

#!/usr/bin/env python3
"""Generate daily analytics summary from Amplitude."""

import requests
from datetime import datetime, timedelta

def generate_summary():
    yesterday = (datetime.now() - timedelta(days=1)).strftime("%Y-%m-%d")
    
    metrics = {
        "dau": query_metric("active_users", yesterday, yesterday),
        "events": query_events(yesterday),
        "revenue": query_revenue(yesterday)
    }
    
    report = f"""# Analytics Summary - {yesterday}

## Daily Active Users
{metrics['dau']:,}

## Top Events
{format_events(metrics['events'])}

## Revenue
${metrics['revenue']:,.2f}

---
Generated at {datetime.now().isoformat()}
"""
    
    return report

def query_metric(metric, start, end):
    # Implementation details...
    pass

print(generate_summary())

Best Practices for Amplitude Integration

When building Claude skills for Amplitude, follow these best practices:

1. Secure Your API Keys

Never hardcode API keys in skill files. Use environment variables or a secure credential manager:

import os
AMPLITUDE_KEY = os.environ.get("AMPLITUDE_API_KEY")
if not AMPLITUDE_KEY:
    raise ValueError("AMPLITUDE_API_KEY environment variable not set")

2. Handle Rate Limits

Amplitude enforces rate limits. Implement exponential backoff for retries:

import time

def send_with_retry(event_data, max_retries=3):
    for attempt in range(max_retries):
        response = send_event(event_data)
        if response.status_code == 200:
            return True
        if response.status_code == 429:  # Rate limited
            time.sleep(2 ** attempt)  # Exponential backoff
    return False

3. Validate Event Schemas

Define expected event properties in your skill to catch errors early:

VALID_EVENTS = {
    "button_click": ["button_id", "page"],
    "purchase": ["amount", "currency", "item_id"],
    "signup": ["method", "source"]
}

def validate_event(event_name, properties):
    required = VALID_EVENTS.get(event_name, [])
    missing = [k for k in required if k not in properties]
    if missing:
        raise ValueError(f"Missing properties: {missing}")

Troubleshooting Common Issues

Events Not Appearing

If events aren’t showing in Amplitude:

  1. Verify API key is correct
  2. Check timestamp format (ISO 8601 required)
  3. Ensure user_id or device_id is provided
  4. Confirm project ID matches

Query Timeouts

Large queries may timeout. Optimize by:

Authentication Errors

Management API failures usually indicate:

Conclusion

Building Claude skills for Amplitude analytics transforms how developers interact with product data. By automating event tracking, enabling natural language queries, and generating reports on demand, you integrate analytics directly into your development workflow.

Start with simple event tracking, then expand to querying and reporting as you become comfortable with the API. The combination of Claude Code’s conversational interface and Amplitude’s powerful analytics creates a productivity boost for data-driven development teams.

Remember to secure your credentials, handle rate limits gracefully, and validate event schemas to ensure reliable analytics integration.

Built by theluckystrike — More at zovo.one

Explore Our Developer Guides

© 2026 theluckystrike Developer Guides