Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Enables SQL querying, spreadsheet processing, data visualization, and report generation against databases and files. Covers the full analysis workflow from raw data ingestion through cleaning, statistical analysis, and insight communication. Works with relational databases, data warehouses, CSV/Excel files, and REST APIs.
Combines SQL patterns, pandas workflows, and charting guidance in one skill so analysis doesn't require switching between separate tools or documentation sources.
When to use it
- Running cohort retention queries against a production database
- Cleaning a messy CSV export before sharing with stakeholders
- Generating a weekly revenue report with month-over-month trends
- Building a conversion funnel from product event tracking data
- Auditing a dataset for nulls, duplicates, and formatting inconsistencies
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Show me monthly revenue trends and growth rates for the last 6 months
- 1Query the transactions table using DATE_TRUNC monthly aggregation with LAG window function for prior-month comparison
- 2Validate results for nulls and zero-division edge cases
- 3Calculate month-over-month growth percentages
- 4Generate a line chart using matplotlib with date on x-axis and revenue on y-axis
- 5Format output into a structured report with an executive summary and key metrics table
A markdown report with a monthly revenue table showing absolute values and growth percentages, plus a saved trend chart image