A SQL agent can answer a question, but a wall of result rows is hard to read and harder to share in a standup. This tool draws the answer instead.
sonnet3 daysPostgreSQLOpenAIQuickChartSlack
Claude
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README.md
Why this subagent
A SQL agent can answer a question, but a wall of result rows is hard to read and harder to share in a standup. This tool draws the answer instead.
It runs the query, picks a chart type that fits the data, and renders a labeled QuickChart image you can drop into Slack. You get the picture and the underlying SQL together, so the result is both glanceable and auditable.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Run the query and inspect the shape of the result to pick a fitting chart type.
pending
Build a QuickChart configuration with labeled axes, a title, and a sensible series layout.
pending
Render the chart to an image and return it alongside the query that produced it.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Given a question and the query results, choose an appropriate chart type and return a complete QuickChart config with title, labeled axes, and series, plus the SQL that generated the data.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.