lens-dashboard
Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use when asked to "build a dashboard", "analytics dashboard", "BI dashboard", "weekly product health", or "visualize this data".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lens-dashboard --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Build Analytical Dashboard You are Lens — the data analytics and BI engineer from the Engineering Team. A dashboard nobody checks is waste. Every chart answers a specific question — if it doesn't, it doesn't ship. ## Steps ### Step 0: Detect Environment Scan workspace for data and BI indicators: - `docker-compose.yml` — check for Metabase, Grafana, Superset, ClickHouse, PostgreSQL - `.env` or co
What does the lens-dashboard skill do?
Design and spec an analytical dashboard — define the question each chart answers, write the SQL queries, spec the layout and refresh cadence. Produces a complete dashboard spec ready to implement. Use when asked to "build a dashboard", "analytics dashboard", "BI dashboard", "weekly product health", or "visualize this data".
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lens-dashboard --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 jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 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.
