spring-ai
Provides comprehensive guidance for Spring AI including AI model integration, prompt templates, vector stores, and AI applications.
Skill by full-stack-skills
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: ml, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/spring-ai
What's inside
- Skill name
spring-ai- Description
- Provides comprehensive guidance for Spring AI including AI model integration, prompt templates, vector stores, and AI applications. Use when the user asks about Spring AI, needs to integrate AI models, implement RAG applications, or work with AI services in Spring.
- License
- Apache-2.0
- Instructions
- 395 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Spring AI 开发指南
## 概述
Spring AI 是 Spring 官方提供的 AI 应用开发框架,简化了与各种大语言模型(LLM)的集成,包括 OpenAI、Anthropic、Azure OpenAI 等。
## 核心功能
### 1. 项目创建
**依赖**:
```xml
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-openai-spring-boot-starter</artifactId>
</dependency>
```
**或使用 Gradle**:
```gradle
dependencies {
implementation 'org.springframework.ai:spring-ai-openai-spring-boot-starter'
}
```
### 2. Chat Client
**配置**:
```yaml
spring:
ai:
openai:
api-key: ${OPENAI_API_KEY}
chat:
options:
model: gpt-4
temperature: 0.7
```
**使用 ChatClient**:
```java
@Service
public class ChatService {
private final ChatClient chatClient;
public ChatService(ChatClient chatClient) {
this.chatClient = chatClient;
}
public String chat(String message) {
return chatClient.call(message);
}
public String chatWithPrompt(String userMessage) {
Prompt prompt = new Prompt(new UserMessage(userMessage));
ChatResponse response = chatClient.call(prompt);
return response.getResult().getOutput().getContent();
}
}
```
**流式响应**:
```java
@Service
public class ChatService {
private final StreamingChatClient streamingChatClient;
public ChatService(StreamingChatClient streamingChatClient) {
this.streamingChatClient = streamingChatClient;
}
public Flux<String> streamChat(String message) {
return streamingChatClient.stream(message)
.map(response -> response.getResult().getOutput().getContent());
}
}
```
### 3. Prompt Template
**定义模板**:
```java
@Service
public class PromptService {
private final PromptTemplate promptTemplate;
public PromptService() {
this.promptTemplate = new PromptTemplate(
"请用{style}风格回答以下问题:{question}"
);
}
public String generatePrompt(String style, String question) {
Map<String, Object> variables = Map.of(
"style", style,
"question", question
);
return promptTemplate.render(variables);
}
}
```
**使用 ChatClient**:
```java
@Service
public class ChatService {
private final ChatClient chatClient;
private final PromptTemplate promptTemplate;
public ChatService(ChatClient chatClient) {
this.chatClient = chatClient;
this.promptTemplate = new PromptTemplate(
"请用{style}风格回答以下问题:{question}"From full-stack-skills/spring-skills, Apache-2.0.
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Signals
- Stars
- 3
- Forks
- 3
- Open issues
- 0
- Last commit (this folder)
- Oct 3, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
spring-ai skill. Agent Mart. https://agentmart.dev/skills/full-stack-skills-spring-ai (last updated 2026-10-24)