appget-pipeline

Explain the appget pipeline from SQL schema to Java Spring Boot API generation.

1|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/devixlabs/appget --skill appget-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: appget-pipeline
Source: https://github.com/devixlabs/appget/tree/main/.claude/skills/appget-pipeline
Command: npx skills add https://github.com/devixlabs/appget --skill appget-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive knowledge to navigate, understand, and troubleshoot the appget code generation pipeline, ensuring efficient development and deployment of applications.

Core Features & Use Cases

  • Pipeline Understanding: Grasp the end-to-end flow from SQL schema and Gherkin rules to generated Java code and Spring Boot APIs.
  • Troubleshooting: Diagnose and resolve issues related to build failures, schema changes, and rule interpretation.
  • Use Case: When a make all command fails, use this Skill to pinpoint the exact stage of the pipeline causing the error and apply the correct fix.

Quick Start

Use the appget-pipeline skill to regenerate all code artifacts by running the make all command from the appget/java/ directory.

Frequently Asked Questions about appget-pipeline

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

FAQPage Schema
How does the appget code generation pipeline work?

The appget code generation pipeline processes SQL schemas and Gherkin DSL rules to generate Java Spring Boot APIs. It utilizes Make targets and a metadata registry to automate the end-to-end build and code generation flow.

How do I generate Java Spring Boot APIs from an SQL schema?

To generate Java Spring Boot APIs from an SQL schema, execute the `make all` command from the `appget/java/` directory. This runs the appget pipeline to translate your schema definitions into functional API code.

Why does my make all command fail during schema changes?

A `make all` command failure during schema changes often stems from errors in the SQL schema or Gherkin rule interpretation. Use the pipeline knowledge to pinpoint the exact failing stage and apply the correct metadata fix.

Can I use Gherkin DSL to define rules for Spring Boot API generation?

Yes, the appget pipeline uses Gherkin DSL to define rules that drive the Java Spring Boot API generation. The pipeline evaluates these Gherkin rules alongside your SQL schema to produce the final application code.

Do I need to understand the metadata registry to troubleshoot appget build failures?

Understanding the metadata registry is essential for troubleshooting appget build failures. It provides the runtime evaluation architecture needed to diagnose issues with Make targets and apply the correct fixes to the code generation pipeline.