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React Flow Usage

Checked
thedogwiththedataonit·vlatest·frontend

Dynamically generates and manipulates React Flow diagrams based on data inputs, simplifying complex visual 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 thedogwiththedataonit/react-flow --skill react-flow-usage -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

thedogwiththedataonit

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 thedogwiththedataonit/react-flow at 2e09f04f1c.

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

Manifest
SKILL.md
Scanned
17 files, 2,820 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 utilize react-flow, a library for building interactive node-based diagrams and workflows in React applications. It allows agents to programmatically create, modify, and render flow charts with nodes, edges, and custom styling. The agent can manage the layout and interactions within these visual representations of data or processes.

When to use it

  • Visualizing complex data: Generate a flowchart representing dependencies between software components for documentation purposes.
  • Designing interactive workflows: Build an application where users can visually define automated tasks, such as creating a pipeline for image processing.
  • Creating custom editors: Develop a visual editor for configuring network topologies or other graph-based systems.
  • Prototyping user interfaces: Quickly create mockups of applications that involve interconnected elements and data flows.

Key capabilities

  • Node creation and deletion
  • Edge creation and deletion
  • Custom node styling
  • Flow chart layout management
  • React component integration

Example prompts

  • "Create a react-flow diagram showing the steps in a typical software deployment pipeline."
  • "Add a 'Database' node to my existing react-flow chart, connecting it to the 'API' node with an edge labeled 'Data'."
  • "Generate a flow chart representing the dependencies between modules in this codebase."

Tips & gotchas

  • Requires familiarity with React and JavaScript.
  • The agent will generate code snippets that need to be integrated into a React project using react-flow.