Skip to content
TrustedSkillsbeta
Back to all skills

Langgraph

Checked
davila7·vlatest·agents·MIT

Langgraph allows you to build interactive AI applications by visually connecting language models and data sources, streamlining complex workflows.

Repository

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 davila7/claude-code-templates --skill langgraph -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/langgraph/SKILL.md
Scanned
1 file, 282 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

The davila7-langgraph skill enables AI agents to work with LangGraph, a framework for building stateful workflows and applications using graph-based structures. It allows developers to define complex logic flows, manage states, and integrate with other tools or APIs in a structured way.

When to use it

  • When creating interactive web applications that require dynamic state management.
  • For implementing AI-driven workflows involving multiple steps or decision points.
  • When integrating LangGraph with frontend components for enhanced user interaction.
  • To build modular, reusable logic blocks within an application's architecture.

Key capabilities

  • Integration with LangGraph framework
  • Stateful workflow execution
  • Modular and scalable design patterns
  • Support for complex conditional logic

Example prompts

  • "Set up a LangGraph workflow to handle form submission steps in the frontend."
  • "Create a state machine using LangGraph that validates user input before proceeding."
  • "Integrate LangGraph with an API call sequence to fetch and display data dynamically."

Tips & gotchas

  • Ensure you have a basic understanding of LangGraph concepts like nodes, edges, and states.
  • This skill is best used in conjunction with frontend frameworks that support modular logic structures.