How Teams Use This skill is used to analyze the complete call link of the Controller layer in a Java microservice project. It can automatically trace back to the Service, Mapper, and Repository layers, and extract the complete SQL statement. Finally, a structured JSON file is generated to facilitate API document generation, code auditing, or architecture understanding. to Collaborate More Effectively

This skill is used to analyze the complete call link of the Controller layer in a Java microservice project. It can automatically trace back to the Service, Mapper, and Repository layers, and extract the complete SQL statement. Finally, a structured JSON file is generated to facilitate API document generation, code auditing, or architecture understanding. isn't just for solo use — teams can share skills and build consistent AI workflows across the organization. Analyze the complete calling link of the specified Controller in the Java microservice project, trace it back to Service, Mapper, and Repository, extract the corresponding SQL, and output a structured JSON file. This guide covers how to deploy This skill is used to analyze the complete call link of the Controller layer in a Java microservice project. It can automatically trace back to the Service, Mapper, and Repository layers, and extract the complete SQL statement. Finally, a structured JSON file is generated to facilitate API document generation, code auditing, or architecture understanding. for your team, standardize prompts, and create shared workflows that everyone can use.

Step-by-Step Guide

1. 1

   Install This skill is used to analyze the complete call link of the Controller layer in a Java microservice project. It can automatically trace back to the Service, Mapper, and Repository layers, and extract the complete SQL statement. Finally, a structured JSON file is generated to facilitate API document generation, code auditing, or architecture understanding. in your project directory: .claude/skills/controller-call-chain-analysis/

2. 2

   Commit the skill folder to your repository so the whole team has access

3. 3

   Document your team's standard prompts in a shared README

4. 4

   Use This skill is used to analyze the complete call link of the Controller layer in a Java microservice project. It can automatically trace back to the Service, Mapper, and Repository layers, and extract the complete SQL statement. Finally, a structured JSON file is generated to facilitate API document generation, code auditing, or architecture understanding. in code reviews, standups, and planning sessions

5. 5

   Iterate: collect feedback from the team and refine your prompts

Example Prompts

Copy these prompts and use them with your AI agent after installing This skill is used to analyze the complete call link of the Controller layer in a Java microservice project. It can automatically trace back to the Service, Mapper, and Repository layers, and extract the complete SQL statement. Finally, a structured JSON file is generated to facilitate API document generation, code auditing, or architecture understanding.

More Use Cases for This skill is used to analyze the complete call link of the Controller layer in a Java microservice project. It can automatically trace back to the Service, Mapper, and Repository layers, and extract the complete SQL statement. Finally, a structured JSON file is generated to facilitate API document generation, code auditing, or architecture understanding.