openclaw-ggsqlGenerate charts from tabular data using ggsql SQL syntax extension. Use when: user wants to visualize data as charts without Python/R. Supports: scatter plot...
Install via ClawdBot CLI:
clawdbot install fanzhidongyzby/openclaw-ggsqlGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://ggsql.org/api/renderCalls external URL not in known-safe list
https://ggsql.orgAudited May 1, 2026 · audit v1.0
Generated May 22, 2026
A sales team visualizes monthly revenue and units sold by region using bar charts and line charts generated directly from CSV exports of their CRM. This enables quick trend analysis without needing a BI tool.
A product manager creates histograms and boxplots of customer satisfaction scores from survey data to identify outliers and distribution patterns. The skill allows rapid iteration on data exploration without Python or R.
An accountant uses scatter plots to correlate expenses with revenue over time, and heatmaps to visualize spending across categories and months. This replaces manual chart creation in spreadsheets.
A researcher generates density plots and violin plots from experimental data to compare distributions across groups. The skill enables quick visual checks during data analysis without leaving the SQL environment.
A logistics analyst creates bar charts of delivery times by region and scatter plots of distance vs. fuel cost to identify inefficiencies. The skill allows data-driven insights directly from operational datasets.
Integrate ggsql into a SaaS platform to offer in-app chart generation for end users. Charge per query or via subscription tier that includes advanced visualization features.
Use ggsql to quickly produce one-off visualizations for clients during consulting engagements. Package as a value-add service for data cleaning and reporting.
Offer a hosted version of the ggsql playground with additional storage, collaboration, and export options. Provide enterprise support and SLAs.
💬 Integration Tip
Leverage existing SQL skills by adding visualization clauses to queries; start with built-in datasets for testing before connecting custom data sources.
Scored May 22, 2026
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