Agent skill · Databases

redash-analytics-guide

Guide to Redash for SQL-driven research data dashboards and sharing

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeNOASSERTION
Install
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill redash-analytics-guide --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/43-wentorai-research-plugins/skills/analysis/dataviz/redash-analytics-guide/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 3,244
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Redash Analytics Guide ## Overview Redash is an open-source data visualization and dashboarding tool with over 28K stars on GitHub. It is designed for analysts and researchers who prefer writing SQL to explore and visualize data. Redash connects to virtually any data source that supports SQL or has an API, and provides a browser-based query editor with autocomplete, visualization builder, and da

More from Auto-Empirical-Research-Skills
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About this skill
What does the redash-analytics-guide skill do?

Guide to Redash for SQL-driven research data dashboards and sharing

How do I install it?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill redash-analytics-guide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going