connector-review

Review OpenMetadata connectors against golden standards using multi-agent analysis.

2|Updated Jul 18, 2023

Search Tags:#code quality #automation #testing #ci/cd #performance #review #connector

Ready to run

npx skills add https://github.com/Jason-Clark-FG/OpenMetadata-FG --skill connector-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: connector-review
Source: https://github.com/Jason-Clark-FG/OpenMetadata-FG/tree/main/skills/connector-review
Command: npx skills add https://github.com/Jason-Clark-FG/OpenMetadata-FG --skill connector-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the rigorous review of OpenMetadata connectors, ensuring they meet high standards for architecture, code quality, security, and performance, thereby accelerating the development lifecycle and improving overall data governance.

Core Features & Use Cases

Automated Code Analysis: Runs multi-agent analysis across architecture, code quality, type safety, testing, and performance.
PR Integration: Automatically posts quality summaries to PR descriptions and detailed reviews as PR comments when a PR number is provided.
Use Case: When a new connector is submitted as a Pull Request, this Skill can be invoked to provide an immediate, comprehensive quality assessment, highlighting potential issues and areas for improvement before human reviewers even start.

Quick Start

Use the connector-review skill to review pull request number 1234.

Frequently Asked Questions about connector-review

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

FAQPage Schema

How do I automate OpenMetadata connector code review for a pull request?▼

Automate OpenMetadata connector code review by invoking the skill with a PR number, which triggers multi-agent analysis and automatically posts a summary to the PR description and a detailed review comment.

What does automated connector quality analysis check in OpenMetadata?▼

Automated connector quality analysis checks architecture, code quality, type safety, testing, and performance against golden standards to ensure OpenMetadata connectors meet high development standards.

Can I review an OpenMetadata connector locally without a pull request?▼

Yes, you can review an OpenMetadata connector locally by providing a connector path, which restricts the multi-agent analysis to generate local-only output without posting to a pull request.

How does multi-agent analysis work for OpenMetadata connector quality?▼

Multi-agent analysis works by deploying specialized agents to evaluate different dimensions like architecture, type safety, and performance, aggregating results into a comprehensive quality summary.

Do I need to configure CI/CD pipelines to run automated connector reviews?▼

No specific CI/CD configuration is required as a dependency, allowing you to run automated connector reviews directly on demand via local paths or pull request numbers.

What are the limitations of automated code analysis for OpenMetadata connectors?▼

The automated code analysis is limited to evaluating architecture, code quality, type safety, testing, and performance, meaning it supplements but does not replace human review for broader design context.