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Langgraph

Listed
sickn33·vlatest·agents·MIT

Langgraph allows you to build custom AI workflows by defining data transformations and operations, streamlining complex tasks & automating intelligent processes.

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 sickn33/agentic-awesome-skills --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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/langgraph/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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 langgraph skill provides a framework for building and executing complex workflows within AI agents. It allows you to define sequences of tasks, manage data flow between them, and orchestrate interactions with external tools or APIs. This enables more sophisticated agent behavior than simple linear task execution.

When to use it

  • Complex Task Decomposition: Break down a large goal into smaller, manageable steps that can be executed sequentially.
  • Data Transformation Pipelines: Chain together multiple data processing steps, such as extraction, cleaning, and analysis.
  • Tool Orchestration: Coordinate the use of various tools or APIs to achieve a specific outcome (e.g., research using a search engine followed by summarization).
  • Workflow Automation: Automate repetitive tasks that require multiple interactions with different systems.

Key capabilities

  • Framework for defining and executing workflows
  • Data flow management between tasks
  • Orchestration of external tools and APIs
  • Task sequencing

Example prompts

  • "Create a workflow to summarize this article, then translate the summary into French."
  • "Build a pipeline that extracts data from this website, cleans it, and saves it to a CSV file."
  • "Orchestrate these steps: search for information on X, analyze the results, and generate a report."

Tips & gotchas

The skill likely requires some familiarity with workflow design principles. Consider carefully how data should be passed between tasks in your workflows to ensure accurate and efficient execution.