A comprehensive integration for Openclaw Skills that enables developers to fetch and analyze mobile application performance data directly from the Umeng+ Open API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install umeng-app-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install umeng-app-analysis using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Umeng+ App Data Analysis?
The Umeng+ App Analysis skill provides a robust interface for AI agents to interact with Umeng+ statistical data. It allows for the monitoring of mobile applications through a wide range of metrics, from high-level application summaries to granular event-level tracking. By utilizing this tool within Openclaw Skills, developers and data analysts can automate their reporting workflows and gain deeper insights into user engagement, retention, and acquisition.
This skill bridges the gap between raw mobile analytics and actionable AI-driven insights. It supports a variety of data dimensions, including channel-specific performance, version comparisons, and custom event parameters, making it an essential component for any data-driven mobile strategy.
Umeng+ App Data Analysis Use Cases
- Automated daily reporting of active and new user counts across a portfolio of mobile applications.
- Evaluating product-market fit by analyzing app retention rates and average session durations.
- Optimizing marketing spend by segmenting user behavior and conversion data by specific acquisition channels.
- Monitoring feature adoption by tracking custom event parameters and user interaction flows.
How Umeng+ App Data Analysis Works
- The skill initializes by reading the UMENG_API_KEY and UMENG_API_SECURITY environment variables for authentication.
- Commands are issued through a Python-based CLI wrapper which handles the logic for various Umeng+ API endpoints.
- The tool generates necessary signatures and formats request parameters, such as integer-based app keys and comma-separated channel strings.
- API responses are captured and transformed into structured JSON objects, providing a clean data interface for Openclaw Skills to process.
Umeng+ App Data Analysis Setup
To get started with Umeng+ App Analysis, ensure you have the required dependencies and environment variables configured:
# Install the requests library
pip install requests
# Configure your Umeng+ API credentials
export UMENG_API_KEY="your_api_key_here"
export UMENG_API_SECURITY="your_api_security_here"
Once configured, you can verify the installation by running a summary command:
python3 scripts/umeng.py get-all-app-data
Umeng+ App Data Analysis Data Schema & Taxonomy
The skill organizes its requests and responses around several key parameters to ensure high data fidelity within Openclaw Skills:
| Parameter | Data Type | Description |
|---|---|---|
appkey |
Integer | The unique application identifier (must not be a string). |
start-date / end-date |
String | Date range for filtering results (Format: YYYY-MM-DD). |
channels |
String | A comma-separated list of channel names for filtering. |
versions |
String | A comma-separated list of app versions for comparison. |
event-id |
Integer | Used specifically for the get-event-param-list command. |
event-name |
String | Used for general custom event data retrieval. |
Umeng+ App Data Analysis Advanced Features
- Portfolio-wide data aggregation to view total metrics across all registered applications.
- Deep filtering capabilities using period-type indicators for precise time-series analysis.
- Specialized support for gaming metrics, including active and new account tracking for gaming-specific apps.
- Automated error handling and JSON-formatted error output for seamless multi-agent automation within Openclaw Skills.
SKILL.md
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