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Generate Frontend Forms

Official
getsentry·vlatest·frontend

Helps with code generation, frontend development as part of building frontend UIs and user experiences workflows.

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 getsentry/sentry --skill generate-frontend-forms -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

getsentry

Matched to the vendor's own GitHub organisation.

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 getsentry/sentry at 2a9bcbb2b0.

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

Commit
2a9bcbb2b0
Manifest
.agents/skills/generate-frontend-forms/SKILL.md
Scanned
1 file, 977 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 automatically create frontend forms based on user requirements. It handles the generation of form structures, input fields, and associated validation logic tailored to specific application needs.

When to use it

  • Rapidly prototyping data collection interfaces for new features.
  • Generating dynamic registration or login pages during development sprints.
  • Creating specialized survey forms with custom field types without manual coding.
  • Automating the creation of contact forms for landing pages.

Key capabilities

  • Generates complete frontend form components from natural language descriptions.
  • Creates appropriate input fields based on data types and requirements.
  • Implements necessary validation rules to ensure data integrity.

Example prompts

  • "Create a multi-step registration form with email, password, and phone number fields including client-side validation."
  • "Generate a contact form for a support page that includes a dropdown for selecting issue categories and a text area for descriptions."
  • "Build a survey form asking for user feedback on a 5-point scale with optional comment fields."

Tips & gotchas

Ensure your AI agent provides clear context regarding the framework (e.g., React, Vue) or library preferences to get code that integrates seamlessly. Always review generated validation logic to ensure it aligns with your specific security and data handling policies.