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Langchain4J Ai Services Patterns

Checked
giuseppe-trisciuoglio·vlatest·other·MIT

Helps with AI, patterns as part of agent workflows workflows.

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Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add giuseppe-trisciuoglio/developer-kit --skill langchain4j-ai-services-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

giuseppe-trisciuoglio

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Live repository

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No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

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    Makes no network calls.

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  • Pinned to a commit: passed

    Scanned giuseppe-trisciuoglio/developer-kit at fe73fb33a0.

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Commit
fe73fb33a0
Manifest
plugins/developer-kit-java/skills/langchain4j-ai-services-patterns/SKILL.md
Scanned
3 files, 1,063 lines
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About this skill

What it does

This skill provides patterns and best practices for integrating AI services using LangChain4j, enabling developers to build robust and scalable AI agent applications. It includes examples of how to chain together different AI components, manage state, and handle complex workflows efficiently.

When to use it

  • When designing modular AI agents that require multiple service integrations.
  • When optimizing the performance of AI-driven workflows in production environments.
  • When looking for reusable patterns to avoid common pitfalls in AI agent development.
  • When building applications that need to maintain state across multiple interactions with AI models.

Key capabilities

  • Integration patterns for LangChain4j and AI services
  • Best practices for managing state and context in AI agents
  • Examples of scalable workflow design using AI components

Example prompts

  • "Show me a pattern for chaining multiple AI models together."
  • "How can I manage session state in an AI agent using LangChain4j?"
  • "Provide a best practice example for handling errors in AI workflows."

Tips & gotchas

  • Ensure you have a solid understanding of LangChain4j before applying these patterns.
  • Some advanced features may require additional dependencies or configuration.