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transformations

v0.1.1

Transform raw dlt pipeline data into a Canonical Data Model. Build an ontology, design a CDM with Kimball dimensional modeling, write @dlt.hub.transformation functions, and validate the output.

Claude Code6 Skills1 MCP serverstdio

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
7 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 transformations for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install transformations@agent-plugin-marketplace

Paste 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-harness

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is workbench/transformations/.

Plugin files

workbench/transformations/
├── .claude-plugin/plugin.json
├── skills/annotate-sources/SKILL.md
├── skills/create-ontology/SKILL.md
├── skills/create-transformation/SKILL.md
├── skills/debug-transformation/SKILL.md
├── skills/generate-cdm/SKILL.md
├── skills/incremental-transformation/SKILL.md
└── .mcp.json

Included Skills6

annotate-sourcesskills/annotate-sources/SKILL.md

Annotate dlt pipeline sources for transformation. Use when the user wants to transform data, do data modelling, design a data model, describes their data sources and use cases, or wants to build a CDM from existing pipelines.

create-ontologyskills/create-ontology/SKILL.md

Build a business entity graph (ontology) from annotated sources and taxonomy. Use after annotate-sources to design the entity model before CDM generation.

create-transformationskills/create-transformation/SKILL.md

Write dlthub transformation functions that map source tables to CDM entities. Use after generate-cdm to produce the transformation Python script.

debug-transformationskills/debug-transformation/SKILL.md

Debug dlthub transformation failures. Use when a transformation fails on a different destination than it was developed on, SQL dialect errors occur after deployment, pipeline recovery is needed after a failed run, or columns are silently dropped from output.

generate-cdmskills/generate-cdm/SKILL.md

Generate a Canonical Data Model (CDM) in DBML using Kimball dimensional modeling. Use after create-ontology to produce the implementation-ready CDM schema.

incremental-transformationskills/incremental-transformation/SKILL.md

Switch a dlthub transformation from full-replace to incremental loading. Use when the user wants to process only new or changed rows, reduce transformation run time, or schedule frequent transformation runs without reprocessing all data.

MCP servers1

dlt-workspace-mcpstdio
command
uv
args
run dlthub ai mcp --stdio

Plugin manifests1

workbench/transformations/.claude-plugin/plugin.json
{
  "name": "transformations",
  "description": "Transform raw dlt pipeline data into a Canonical Data Model. Build an ontology, design a CDM with Kimball dimensional modeling, write @dlt.hub.transformation functions, and validate the output.",
  "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",
    "transformation",
    "cdm",
    "kimball",
    "ibis",
    "dimensional-modeling"
  ],
  "mcpServers": {
    "dlt-workspace-mcp": {
      "command": "uv",
      "args": [
        "run",
        "dlthub",
        "ai",
        "mcp",
        "--stdio"
      ]
    }
  }
}

For maintainers

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[transformations on Agent Plugins Marketplace](https://pluginsmp.com/plugins/transformations)