An automated data intelligence agent designed to track content performance, calculate ROI, and monitor reader sentiment across major publishing platforms.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install data-analyst-agent
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 data-analyst-agent 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 Data Analyst Agent?
The Data Analyst Agent is a specialized tool within the Openclaw Skills ecosystem that establishes a data-driven feedback loop for content creators and strategists. By aggregating metrics from platforms like Amazon KDP, Royal Road, and Qidian, it provides a holistic view of publication performance, helping users make informed decisions about topic selection and strategy optimization.
This skill automates the tedious process of manual data gathering, allowing developers and creators to focus on high-value creative tasks while the agent handles complex calculations like ROI and sentiment intensity. It bridges the gap between raw platform metrics and actionable insights through sophisticated cleaning and visualization processes, ensuring that every strategic move is backed by empirical evidence.
Data Analyst Agent Use Cases
- Monitoring daily sales, page reads, and Kindle Unlimited (KU) performance on Amazon KDP.
- Analyzing reader retention rates and advertisement revenue on web novel platforms like Tomato Fiction.
- Extracting sentiment and key themes from reader comments to guide plot development.
- Calculating ROI by comparing total revenue against creation costs based on word count and hourly rates.
- Setting up automated alerts for sudden traffic drops or the emergence of competitive trending titles.
How Data Analyst Agent Works
- The agent triggers automatically at a scheduled time, typically daily at midnight, to start the data lifecycle.
- It crawls public metrics from configured publishing platforms, including reads, ratings, and revenue data.
- Collected data undergoes cleaning and structured storage to ensure consistency across different platform schemas.
- Performance is evaluated against predefined benchmarks, such as identifying a 60% retention rate as excellent.
- The agent generates daily snapshots and periodic reports (weekly or monthly) for stakeholders.
- Immediate alerts are dispatched if anomaly detection rules are triggered, such as a 30% drop in daily traffic.
- The agent remains available to respond to real-time data queries from other Openclaw Skills.
Data Analyst Agent Setup
To integrate the Data Analyst Agent into your Openclaw Skills workflow, follow these steps:
# Clone the skill repository
git clone https://github.com/openclaw/data-analyst-agent.git
# Install required dependencies
npm install
# Configure your target book IDs and platform list in config.json
cp config.example.json config.json
Ensure you have your environment variables set for any notification services, such as Slack or Email, to receive the automated alerts and daily reports.
Data Analyst Agent Data Schema & Taxonomy
The skill organizes data into several logical dimensions to provide a comprehensive analytical view:
| Dimension | Metrics Included |
|---|---|
| Basic Metrics | Reads, CTR, Retention Rate, Ratings, Comment Count |
| Monetization | Revenue, Tips, Monthly Tickets, Subscriptions |
| Growth | Daily, Weekly, and Monthly Growth Deltas |
| Comparative | Platform averages vs. Top-tier benchmarks |
| Sentiment | Positive/Negative/Neutral classifications and intensity (1-5) |
Data Analyst Agent Advanced Features
- Multi-platform synchronization for global content distribution tracking.
- Automated ROI calculation based on custom creation cost formulas.
- Cross-language sentiment analysis engine for English and Chinese reader feedback.
- Anomaly detection system with configurable threshold triggers for traffic and revenue.
- Integration hooks for other agents within the Openclaw Skills framework to request real-time data lookups.
SKILL.md
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