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Reactflow Fundamentals

Checked
thebushidocollective·vlatest·frontend

Learn ReactFlow basics – understand its core components and how to build interactive diagrams for data visualization and user interfaces.

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 thebushidocollective/han --skill reactflow-fundamentals -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

thebushidocollective

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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 thebushidocollective/han at 19caa51d5f.

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

Commit
19caa51d5f
Manifest
plugins/frameworks/reactflow/skills/reactflow-fundamentals/SKILL.md
Scanned
1 file, 538 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.
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About this skill

What it does

This skill equips AI agents to build interactive node-based diagrams for visualizing workflows, data flows, and complex system architectures. It enables the creation of dynamic graphs where nodes represent entities and edges define their relationships within a React environment.

When to use it

  • Visualizing software architecture or microservice communication patterns.
  • Designing machine learning pipeline stages and data processing steps.
  • Mapping out project dependencies or task workflows in development sprints.
  • Creating educational diagrams that demonstrate algorithmic logic visually.

Key capabilities

  • Rendering interactive node graphs using ReactFlow library fundamentals.
  • Defining custom nodes with specific rendering logic and behaviors.
  • Managing edge connections between nodes to show flow direction.
  • Handling drag-and-drop interactions for intuitive diagram editing.
  • Implementing zoom, pan, and viewport controls for scalable diagrams.

Example prompts

  • "Create a ReactFlow diagram showing the data flow from user input through an API gateway to a database."
  • "Build an interactive workflow node where clicking a step expands its sub-tasks in a nested graph."
  • "Generate a visual representation of a neural network architecture using custom nodes for layers and edges for connections."

Tips & gotchas

Ensure your React environment is properly configured with the necessary dependencies before attempting to render complex graphs. Start with simple linear flows to test node rendering before implementing advanced features like custom edge types or animated transitions.