AI Skill StudioAI Skill Studio
Skill Library
Presets:

Target Standard & File Format

AI Agent Rules & Skills
Context Shields & Privacy (Ignore Files)
Integrations & Machine Documentation
AI Governance & Multi-Agent Planning Suite

Identity & Activation Rules

3 chips
Scoped domain keywords evaluated in real time
api-routescode-auditsrefactoring
Suggested Chips:

Technology Stack Context

Engineering Philosophy

Flexible & Adaptable

Architectural & Code Quality Conventions

Less rigid & configurable

Agent Behavioral Guardrails

Select active rules
Security & Trust Boundaries
Always included
  • Untrusted Content Is Data
  • Encoded Payloads
  • Least-Privilege File Access
  • Confirm Irreversible Actions
  • Secret Handling
  • Validation Failures
  • Conflicting Requests

Step-by-Step Workflow Procedures

Backend · Gemini API and Google AI Studio

Spring Boot 4 & Java 25 Gemini System Prompt

System instructions for Google AI Studio and the Gemini API, for Spring Boot 4 & Java 25 work.

Path
prompts/gemini-system-instructions.json
Loads
Sent per request
Format
JSON system instruction
Used by
Gemini API and Google AI Studio
All Gemini presets and how gemini-system-instructions.json works

What this file tells the agent

A system instruction in Google AI Studio or the Gemini API gives the model the Spring Boot 4 & Java 25 role, constraints and output format before every request.

  • Use jakarta.* packages for persistence, validation, and servlets; ban legacy javax.* imports.
  • Represent immutable request/response DTOs using native Java Records with Jakarta validation annotations.
  • Enable virtual threads (spring.threads.virtual.enabled=true) for high-throughput blocking I/O.
  • Configure Spring Security using the modern SecurityFilterChain bean approach; never extend deprecated WebSecurityConfigurerAdapter.
  • Avoid N+1 queries in Spring Data JPA: use @EntityGraph or JOIN FETCH JPQL queries for relational fetches.

Code to avoid, and what to write instead

The rule steers the agent away from the left and toward the right.

avoid
// Discouraged: Legacy javax namespace, verbose POJO with setters, mutable entity exposure
import javax.persistence.*; // Obsolete since Spring Boot 3; use jakarta.persistence

public class BadOrderDTO {
    private String customerId;
    public void setCustomerId(String id) { this.customerId = id; }
}
write instead
package com.example.demo.order;

import jakarta.validation.constraints.NotBlank;
import jakarta.validation.constraints.Positive;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.*;
import java.math.BigDecimal;

public record CreateOrderRequest(
    @NotBlank String customerId,
    @Positive BigDecimal amount
) {}

public record OrderResponse(Long id, String customerId, BigDecimal amount) {}

@RestController
@RequestMapping("/api/v1/orders")
public class OrderController {
    private final OrderService orderService;

    public OrderController(OrderService orderService) {
        this.orderService = orderService;
    }

    @PostMapping
    public ResponseEntity<OrderResponse> create(@RequestBody CreateOrderRequest request) {
        OrderResponse response = orderService.processOrder(request);
        return ResponseEntity.ok(response);
    }
}

Install it in one command

  1. 01

    Go to your project root

    The file goes at prompts/gemini-system-instructions.json, relative to the root.

  2. 02

    Download the file

    Run the command on the right. It downloads this preset and writes the file.

  3. 03

    Make sure it gets used

    Nothing loads this file automatically. Pass it as the system instruction in your Gemini API call, or paste it into Google AI Studio.

$ mkdir -p "prompts" && curl -fsSL "https://www.devscratchpad.tech/api/raw/gemini-prompts/spring-boot-4" -o "prompts/gemini-system-instructions.json"

writes prompts/gemini-system-instructions.json

path

prompts/gemini-system-instructions.json

To write the file from your own code instead, use Read your code or Convert Legacy Rules in the editor above.

Questions

How do I use this prompt in Google AI Studio?
Paste the text parts into the System instructions field in Google AI Studio, or load the JSON in code and pass it as the system instruction (system_instruction in REST, config.systemInstruction in the Google Gen AI SDK).
Which Gemini models support these instructions?
Current Gemini models in the Gemini API and Google AI Studio accept a system instruction. Check Google's model list for the one you use.