amplitude
Amplitude product analytics — track events, analyze user behavior, run cohort analysis, manage user properties, and query funnel/retention data via the Amplitude API. Understand product usage, measure feature adoption, and analyze user journeys. Built for AI agents — Python stdlib only, zero dependencies. Use for product analytics, user behavior tracking, funnel analysis, retention analysis, and cohort segmentation.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aiwithabidi/amplitudeWhat This Skill Does
The Amplitude skill provides a robust bridge between the OpenClaw AI agent and the Amplitude product analytics platform. It enables agents to instrument product usage, track user behaviors, and extract actionable insights without requiring complex manual data entry. By interfacing directly with the Amplitude API, the skill handles event logging, user identity management, and advanced analytical queries like funnel progression and retention rates. This allows for automated reporting on user journeys, measuring feature adoption, and identifying drop-off points in conversion funnels. Designed for seamless integration, it relies solely on Python's standard library, ensuring zero dependency overhead and high reliability for AI-driven analytics workflows.
Installation
To integrate the Amplitude skill into your environment, run the following command within your terminal:
clawhub install openclaw/skills/skills/aiwithabidi/amplitude
Ensure that you have your AMPLITUDE_API_KEY and AMPLITUDE_SECRET_KEY configured as environment variables, as the skill requires these credentials to authenticate against Amplitude's endpoints for event submission and data retrieval.
Use Cases
This skill is ideal for product teams and data analysts looking to automate their insight generation. Common use cases include: 1. Automated Conversion Monitoring: Detecting when specific user funnels experience a decline in performance and proactively alerting stakeholders. 2. User Segmentation Analysis: Fetching cohort data to tailor marketing campaigns or product experiences dynamically based on user behavior. 3. Feature Adoption Reporting: Measuring how many active users interacted with a newly deployed feature over a specific time window. 4. Revenue Tracking: Aggregating LTV and ARPU metrics to correlate usage patterns with financial performance.
Example Prompts
- "Track a new 'user_signup' event for user_id 'user_789' with the property 'method' set to 'google_oauth'."
- "Run a funnel analysis for the 'onboarding' process involving 'login', 'tutorial_complete', and 'profile_setup' for the last 30 days."
- "List all current user cohorts and give me the active user count for the 'power_users' segment for this month."
Tips & Limitations
To maintain high data integrity, always ensure that your JSON payloads for tracking are properly escaped when executing commands via the CLI. Note that query-based commands (like funnel or retention analysis) are subject to the rate limits and data freshness policies of your specific Amplitude subscription plan. Because this skill relies on the standard library, it is highly portable but does not perform complex data visualization itself—it returns structured data that your AI agent can process, summarize, or format into a report.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aiwithabidi-amplitude": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
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