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Langchain4J Tool Function Calling Patterns

Checked
giuseppe-trisciuoglio·vlatest·agents·MIT

Automates LangChain4j tool function calls based on predefined patterns for streamlined AI agent workflows.

Install on your platform

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-tool-function-calling-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

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned giuseppe-trisciuoglio/developer-kit at fe73fb33a0.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
9 files, 2,029 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to call functions using the LangChain4j tool function calling patterns. It allows for structured and dynamic interaction with external tools, enabling the agent to perform actions based on user input or internal logic.

When to use it

  • When integrating AI agents with external APIs or tools that require specific function calls.
  • To automate workflows where an agent needs to trigger predefined functions in response to prompts or conditions.
  • For building modular and reusable agent behaviors by defining clear function calling patterns.

Key capabilities

  • Supports structured function calling using LangChain4j patterns.
  • Enables dynamic tool integration with AI agents.
  • Facilitates the execution of external functions based on input or logic.

Example prompts

  • "Call the weather API to get the forecast for New York."
  • "Use the database query function to retrieve user data."
  • "Execute the payment processing tool with the provided transaction details."

Tips & gotchas

  • Ensure that all required tools and dependencies are properly installed and configured before using this skill.
  • Function calling behavior depends on how the external tools are defined, so thorough testing is recommended.