Skip to content
TrustedSkillsbeta
Back to all skills

React Flow Advanced

Checked
existential-birds·vlatest·frontend·Apache-2.0

Dynamically generate complex, interactive flowcharts with advanced node styling, data binding, and custom interactions using this powerful component.

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 existential-birds/beagle --skill react-flow-advanced -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

existential-birds

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 existential-birds/beagle at d1a74899fb.

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

Commit
d1a74899fb
Manifest
plugins/beagle-react/skills/react-flow-advanced/SKILL.md
Scanned
1 file, 419 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

react-flow-advanced

What it does

This skill enables AI agents to programmatically construct and manipulate complex, interactive node-based diagrams using React Flow. It handles dynamic graph rendering, allowing agents to create visual workflows where nodes represent processes and edges define their logical connections.

When to use it

  • Visualizing intricate data transformation pipelines or ETL workflows for stakeholder review.
  • Designing state machine diagrams that illustrate complex application logic or user journey flows.
  • Creating interactive system architecture maps that demonstrate component dependencies and data movement.
  • Building educational tools where users can drag-and-drop nodes to experiment with process configurations.

Key capabilities

  • Dynamic node creation and removal based on runtime data.
  • Interactive edge management supporting various connection types.
  • Customizable node rendering for specific domain objects.
  • Real-time graph updates without full page reloads.

Example prompts

  • "Generate a React Flow diagram showing the steps of a machine learning training pipeline, including data ingestion, preprocessing, model training, and evaluation nodes."
  • "Create an interactive flowchart where users can click on nodes to reveal detailed configuration options for each step in a CI/CD process."
  • "Build a visual representation of a microservices architecture, connecting service nodes with edges that indicate API call directions and latency estimates."

Tips & gotchas

Ensure your AI agent has access to the necessary React Flow libraries and styling assets before attempting to render complex graphs. For large diagrams with hundreds of nodes, consider implementing virtualization or pagination strategies to maintain performance, as standard rendering may become sluggish.