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implement-connector

Official

Implement Python connectors for data sources.

Software Engineering#api#python#implementation#connector#data source#lakeflow
Authordatabrickslabs
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the implementation of Python connectors for various data sources, ensuring they adhere to the LakeflowConnect interface and specific data handling requirements.

Core Features & Use Cases

  • Connector Implementation: Generates Python code for data source connectors based on API documentation.
  • Interface Conformance: Ensures connectors implement the LakeflowConnect interface correctly.
  • Data Handling: Enforces requirements for schema definition, incremental reads, and delete handling.
  • Use Case: After researching a new API, use this Skill to quickly generate the boilerplate Python code for a Lakeflow connector, significantly speeding up development.

Quick Start

Implement the Python connector for the 'salesforce' source using the existing API documentation.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: implement-connector
Download link: https://github.com/databrickslabs/lakeflow-community-connectors/archive/main.zip#implement-connector

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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