langchain4j-ai-services-patterns SKILL.md skillA
langchain4j-ai-services-patterns from giuseppe-trisciuoglio/developer-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add giuseppe-trisciuoglio/developer-kit/langchain4j-ai-services-patterns@git:20260324.a02e282Pins git:20260324.a02e282 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- giuseppe-trisciuoglio/developer-kit
- Path
plugins/developer-kit-java/skills/langchain4j-ai-services-patterns/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260324.a02e282, committed Mar 24, 2026
- First version recorded
- Feb 7, 2026
- Size
- 6,404 bytes
- Repository stars
- 367
- License
- MIT
Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LangChain4j AI Services Patterns
This skill provides guidance for building declarative AI Services with LangChain4j using interface-based patterns, annotations for system and user messages, memory management, tools integration, and advanced AI application patterns that abstract away low-level LLM interactions.
## Overview
LangChain4j AI Services define AI functionality using Java interfaces with annotations, providing type-safe, declarative AI with minimal boilerplate.
## When to Use
Use this skill when:
- Building declarative AI services with minimal boilerplate using Java interfaces
- Creating type-safe conversational AI with memory management
- Implementing AI agents with function/tool calling capabilities
- Designing AI services returning structured data (enums, POJOs, lists)
- Integrating RAG patterns declaratively
## Instructions
Follow these steps to create declarative AI Services with LangChain4j:
### 1. Define AI Service Interface
Create a Java interface with method signatures for AI interactions:
```java
interface Assistant {
String chat(String userMessage);
}
```
### 2. Add Annotations for System and User Messages
…Read the whole file at its exact version.
How to install
mdr add giuseppe-trisciuoglio/developer-kit/langchain4j-ai-services-patterns@sha256:3ec6f907b75b1461The line at the top of this page pins the label git:20260324.a02e282, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_b3bhumz7sw72fjmq)
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Versions
The registry has recorded 5 versions of this file, between Feb 7, 2026 and Mar 24, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260324.a02e282 latest | 2026-03-24 | a02e282 | 6,404 B | A | view · diff |
| git:20260223.c6d4db1 | 2026-02-23 | c6d4db1 | 7,079 B | A | view · diff |
| v1.1.0 | 2026-02-08 | 147afce | 7,222 B | A | view · diff |
| v1.1.0 | 2026-02-07 | 1a732c7 | 4,812 B | A | view · diff |
| v1.1.0 | 2026-02-07 | 654d94d | 4,791 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6404 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
giuseppe-trisciuoglio/developer-kit · 367 stars · license MIT · pushed 2026-09-10 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_b3bhumz7sw72fjmq GET https://markdownregistry.com/api/v1/resolve?ref=giuseppe-trisciuoglio/developer-kit/langchain4j-ai-services-patterns GET https://markdownregistry.com/api/v1/blob/3ec6f907b75b1461e24f96c4d654a1d284f6571f0ece960cef469e1064c5d385
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