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Plugin

d6tflow

by d6t947PythonUpdated 2026-06-28

Python library for building highly effective data science workflows

Claude Code

The d6tflow Claude Code plugin provides AI-assisted development for d6tflow data science workflows within Claude Code. It automatically activates when editing pipeline files like tasks.py, flow.py, or run.py, offering contextual help for building task dependencies and parameter management. Developers use slash commands to scaffold new projects, initialize Git LFS for data versioning, and get intelligent assistance while constructing complex data pipelines. The plugin streamlines the creation of workflows that chain together data loading, feature engineering, model training, and evaluation tasks.

Key Features

Auto-activates when editing d6tflow pipeline files (tasks.py, flow.py, run.py)
/d6tflow:init-project command scaffolds new d6tflow projects from templates
/d6tflow:init-gitlfs command configures Git LFS for versioning data outputs
/d6tflow:d6tflow manual skill invocation for on-demand assistance
Contextual AI guidance for building task dependencies and parameterized workflows
Integration with d6tflow's task caching, execution management, and data loading patterns
Assists with experiment management and model comparison workflows

Use Cases

  • 01Rapidly scaffolding new data science workflow projects with proper structure
  • 02Building complex ML pipelines that compare multiple models with different parameters
  • 03Setting up data versioning infrastructure with Git LFS for reproducible experiments
  • 04Developing ETL workflows with task dependencies in pandas, dask, or PySpark
  • 05Creating feature engineering pipelines with intelligent caching and resumption
  • 06Constructing model training workflows that track intermediary data and metrics

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d6tflow — FAQ

What is the d6tflow Claude Code plugin?+

It's a Claude Code plugin that provides AI assistance when building d6tflow data science workflows. The plugin auto-activates on pipeline files and offers slash commands to scaffold projects, configure data versioning, and get contextual help with task dependencies.

How do I install the d6tflow plugin in Claude Code?+

Run '/plugin marketplace add d6t/d6tflow-claude-plugin' followed by '/plugin install d6tflow@d6tflow' in Claude Code. The plugin will then automatically activate when you edit d6tflow pipeline files.

Which AI clients support this plugin?+

This plugin is specifically designed for Claude Code and uses Claude Code's plugin marketplace installation mechanism.

Do I need API keys or the d6tflow library installed?+

You need the d6tflow Python library installed (pip install d6tflow) to actually run the workflows you build. The plugin itself works within Claude Code without separate API keys, but requires Python 3.

Is the d6tflow Claude Code plugin free?+

Yes, the plugin is open source and available from the d6t/d6tflow-claude-plugin GitHub repository. However, d6tflow offers a paid Pro version with additional features like team sharing, database integrations, and cloud execution.

What workflows can I build with d6tflow assistance?+

You can build data science workflows including EDA, feature engineering, model training and comparison, as well as data engineering pipelines for loading, filtering, transforming, and joining data across pandas, dask, PySpark, SQL, and Athena.

How do I install d6tflow?+

Open the source repository on GitHub and follow its README. d6tflow is a plugin — MCP Agents Market links you directly to the official repo.

Is d6tflow free?+

d6tflow is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.

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