dataflow

Generate semantic metadata JSON with toxicity analysis from DataFlow skill documents.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Integrum-Global/new_project_template --skill dataflow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dataflow
Source: https://github.com/Integrum-Global/new_project_template/tree/main/.claude/skills/02-dataflow
Command: npx skills add https://github.com/Integrum-Global/new_project_template --skill dataflow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires kailash, dataflow.

What problem does it solve?

Building data-intensive applications often involves repetitive CRUD operations, complex queries, and database management. This Skill provides comprehensive patterns for the DataFlow database framework, enabling zero-configuration model-to-node generation, simplifying database interactions, and accelerating data application development.

Core Features & Use Cases

  • Zero-Config Models: Automatically generates 9 CRUD nodes per model, eliminating boilerplate.
  • Advanced Database Features: Patterns for queries, migrations, multi-tenancy, and transactions.
  • Nexus Integration: Seamlessly combine DataFlow with Nexus for multi-channel data applications.
  • Use Case: You need to build an application with a user management system. Define a User model with DataFlow, and it automatically provides UserCreateNode, UserReadNode, UserUpdateNode, etc., ready to be used in your workflows.

Quick Start

Basic DataFlow Model

from dataflow import DataFlow db = DataFlow("sqlite:///app.db") @db.model class User: name: str email: str

UserCreateNode, UserReadNode, etc. are now available!

Frequently Asked Questions about dataflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate CRUD operations for database models?

DataFlow automates CRUD operations by generating nine ready-to-use nodes per model automatically. Define a model with the @db.model decorator, and DataFlow instantly provides Create, Read, Update, and Delete nodes without writing boilerplate code, accelerating data application development.

Can I use DataFlow with multi-database setups and multi-tenancy?

DataFlow supports multi-database connections and multi-tenancy patterns through its framework design. You can configure multiple database backends, apply tenant isolation logic, and manage queries across database instances within a single application.

What's the best way to handle database migrations with DataFlow models?

DataFlow provides migration patterns integrated with model definitions. Migrations are handled through the framework's schema management, allowing you to evolve your data structures while maintaining compatibility and compliance requirements.

How does DataFlow integrate with Nexus for building data applications?

DataFlow combines with Nexus to create multi-channel data applications. The integration enables you to expose CRUD nodes and queries through Nexus, unifying database operations with API generation and workflow orchestration.

Does DataFlow include patterns for GDPR compliance and data queries?

DataFlow includes compliance and debugging patterns for GDPR and regulatory requirements. Advanced query and transaction patterns support data retrieval, deletion, and audit workflows needed for compliance-driven applications.