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Agent Fullstack Developer

Checked
tony363·vlatest·agents·MIT

Builds functional web applications from design to deployment, handling frontend, backend, and database integration.

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 tony363/superclaude --skill agent-fullstack-developer -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

tony363

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 tony363/superclaude at 6634f8ef5d.

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

Scanned
1 file, 40 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 agent-fullstack-developer skill enables AI agents to build and deploy full-stack web applications. It handles tasks from designing user interfaces, developing backend logic, creating APIs, to deploying the application. The skill is designed for rapid prototyping and iterative development of functional web apps.

When to use it

  • You need a quick prototype of a web application idea without extensive manual coding.
  • You want an agent to handle the entire process of building a simple e-commerce site, including product listings and checkout functionality.
  • You require assistance in developing a backend API for a mobile app or frontend interface.
  • You're looking to automate the creation of internal tools or dashboards within your organization.

Key capabilities

  • Full-stack web application development
  • UI design & implementation
  • Backend logic and API creation
  • Application deployment

Example prompts

  • "Create a simple blog with user authentication."
  • "Build an e-commerce site for selling handmade crafts, including product listings and a shopping cart."
  • "Develop a REST API endpoint to retrieve customer data from a database."

Tips & gotchas

The skill's effectiveness depends on the clarity of your requirements. Be specific about desired features and technologies when providing prompts to ensure the agent delivers the expected outcome.