Automate topic briefs into publication-ready data dashboards via CLI.
npx skills add https://github.com/josca42/varro --skill dashboard-builder-josca42
Please help me install this Agent Skill. Skill: dashboard-builder Source: https://github.com/josca42/varro/tree/main/.claude/skills/dashboard-builder Command: npx skills add https://github.com/josca42/varro --skill dashboard-builder-josca42
Collaborate with the AI statistician to produce a polished data dashboard from a topic brief, research question, or set of DST table references. This workflow drives the end-to-end process from data exploration to dashboard validation and visual inspection, guided by a startup prompt describing the subject and desired dashboard concept.
Provide a startup prompt describing the subject, data angles, and dashboard concept, then launch the interactive CLI session.
High-intent search queries and answers about installing and using this skill.
To turn a data brief into a dashboard, provide a startup prompt with your subject and DST table references. The workflow guides you through data exploration, dashboard commissioning, validation, and visual inspection to produce a final dashboard URL.
Automated data exploration and dashboard design uses a CLI session to iteratively select relevant tables, determine dimensions and time ranges, and commission charts. It validates SQL, labels, and narrative framing to ensure a polished final result.
You start an interactive CLI session for analytics workflow automation by running the command uv run python -m varro.playground.cli --user-id 1. This persistent session processes your startup prompt to drive the end-to-end dashboard creation pipeline.
Yes, you can fix SQL charts and narrative text during dashboard validation. The workflow includes an iteration loop specifically designed to correct SQL queries, chart labels, default settings, and narrative framing until the dashboard meets requirements.
Yes, the dashboard generation workflow requires specific DST table references. Providing these references alongside a startup prompt allows the system to guide data exploration, select relevant tables, and determine the correct dimensions for the final output.
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