An automated reporting engine designed to transform structured data files into professional, decision-ready executive summaries and visualizations.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install report-generator-pedro
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install report-generator-pedro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Report Generator is a specialized component of the Openclaw Skills library that bridges the gap between raw data collection and strategic decision-making. It enables AI agents to process structured formats such as CSV, Excel, and JSON to produce comprehensive, stakeholder-ready reports including KPI dashboards and trend analysis. By utilizing these Openclaw Skills, users can ensure their data storytelling is consistent, professional, and grounded in mathematical accuracy.
This skill focuses on business readability, prioritizing clear KPIs and concise narrative insights over raw data dumps. Whether you need a monthly sales summary or a deep-dive operational analysis, the generator applies a canonical structure to ensure every report includes an executive summary, detailed analysis, and actionable recommendations.
To deploy this skill within your environment, ensure you have the necessary dependencies for data processing and visualization installed. These Openclaw Skills require the local script resources to be accessible by your agent.
# Install required Python dependencies
pip install pandas matplotlib jinja2
# Ensure the report generation script is in your project path
mv scripts/generate_report.py ./agent/tools/
The skill organizes its output using a structured blueprint to maintain consistency across different report types.
| Component | Description | Data Type |
|---|---|---|
| title | The descriptive name of the report | String |
| period | The specific timeframe the data covers | String |
| sections | Ordered list including summary, KPIs, analysis, and charts | List |
| metrics | Computed values for revenue, volume, and growth | Object |
| findings | Top 3-5 key insights derived from the data | Array |
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