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Ai Product

Checked
davila7·vlatest·frontend·MIT

Generates clean, semantic HTML/CSS code snippets from product descriptions, streamlining frontend development 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 davila7/claude-code-templates --skill ai-product -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/business-marketing/ai-product/SKILL.md
Scanned
1 file, 55 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

The ai-product skill empowers AI agents to generate complete, production-ready frontend codebases from high-level product descriptions. It transforms abstract ideas into functional web applications with a single command, handling architecture and implementation details automatically.

When to use it

  • Rapidly prototype MVPs based on a simple text description of desired features.
  • Generate full-stack boilerplate structures for new SaaS or dashboard projects.
  • Create initial frontend implementations when you need immediate code scaffolding without manual setup.
  • Accelerate development cycles by letting the agent build the foundational UI and logic layers.

Key capabilities

  • Generates complete, runnable project structures from natural language prompts.
  • Automatically configures necessary dependencies and folder hierarchies for frontend frameworks.
  • Produces functional code ready for immediate deployment or further customization.

Example prompts

  • "Build a responsive landing page for a coffee shop with an order form and contact section."
  • "Create a full dashboard template for tracking project tasks with user authentication support."
  • "Generate a React-based e-commerce product listing page with filtering capabilities."

Tips & gotchas

Ensure your initial prompt clearly defines the tech stack or design preferences if specific frameworks are required, as the agent infers defaults otherwise. Review generated code immediately to verify that all dependencies are correctly resolved before attempting deployment.