data-exploration
v0.1.1Quick insights from dlt pipeline data. Connect to a pipeline, profile tables, plan charts, and assemble marimo dashboards.
By ScaleVector GmbHLicense: https://github.com/dlt-hub/dlthub-ai-workbench/blob/master/LICENSE59 GitHub starsUpdated 5 days ago
Directory evidence
- Runtimes
- Claude Code
- Parsed components
- 2 skill or MCP entries
- Source updated
- Sep 18, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install data-exploration for Claude Code
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install data-exploration@agent-plugin-marketplacePaste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/dlt-hub/dlthub-ai-harnessClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is workbench/data-exploration/.
Plugin files
├── .claude-plugin/plugin.json├── skills/build-notebook/SKILL.md└── skills/explore-data/SKILL.md
Included Skills2
This skill should be used when the user asks to "build the notebook", "launch the dashboard", "generate the marimo notebook", or when an analysis_plan.md artifact exists and the user wants to assemble or regenerate the dashboard. Reads chart specs with ibis queries and altair code from analysis_plan.md, assembles a marimo Python file, validates, and launches. Do NOT use for exploring data or planning charts (use explore-data), building pipelines (use rest-api-pipeline toolkit), or deploying (use dlthub-platform toolkit).
This skill should be used when the user asks to "explore my data", "what can I learn from this pipeline", "what's the revenue trend", "show me charts", "visualize my pipeline", "analyze my data", "profile data quality", "what questions can I ask about my data", "map my data to business concepts", or wants to explore, profile, analyze, or chart data from a dlt pipeline. Connects to a pipeline, profiles tables or scans schema, plans charts with ibis + altair code, and writes an analysis_plan.md artifact. Do NOT use for building or fixing pipelines (use rest-api-pipeline toolkit), deploying pipelines (use dlthub-platform toolkit), or assembling the marimo notebook from an analysis plan (use build-notebook).
Plugin manifests1
{
"name": "data-exploration",
"description": "Quick insights from dlt pipeline data. Connect to a pipeline, profile tables, plan charts, and assemble marimo dashboards.",
"version": "0.1.1",
"author": {
"name": "ScaleVector GmbH"
},
"homepage": "https://dlthub.com/docs",
"repository": "https://github.com/dlt-hub/dlthub-ai-workbench",
"license": "https://github.com/dlt-hub/dlthub-ai-workbench/blob/master/LICENSE",
"keywords": [
"dlthub",
"marimo",
"ibis",
"data-exploration",
"dashboards",
"altair"
]
}For maintainers
If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.
[data-exploration on Agent Plugins Marketplace](https://pluginsmp.com/plugins/data-exploration)