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Laravel:Brainstorming

Checked
jpcaparas·vlatest·backend·MIT

Laravel:Brainstorming helps you rapidly generate ideas and concepts for your Laravel projects by leveraging AI-powered suggestions.

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 jpcaparas/superpowers-laravel --skill laravel:brainstorming -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

jpcaparas

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 jpcaparas/superpowers-laravel at c5198b16cd.

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

Commit
c5198b16cd
Manifest
skills/brainstorming/SKILL.md
Scanned
1 file, 36 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 laravel:brainstorming skill leverages Laravel's capabilities to generate creative ideas and solutions. It can produce lists of potential features, marketing slogans, or even blog post titles based on a given prompt. The AI agent using this skill is particularly useful for overcoming writer’s block or exploring new avenues for development.

When to use it

  • Generating names for a new Laravel package or application.
  • Brainstorming feature ideas for an existing Laravel project.
  • Creating marketing copy, such as taglines or ad headlines.
  • Developing content outlines for blog posts related to Laravel development.
  • Exploring different approaches to solving a specific coding challenge within a Laravel environment.

Key capabilities

  • Idea generation based on prompts
  • Laravel-specific knowledge base
  • Creative text output
  • Potential feature suggestion

Example prompts

  • "Brainstorm five potential features for an e-commerce application built with Laravel."
  • "Give me some catchy slogans for a Laravel development agency."
  • "Suggest blog post titles about improving Laravel performance."

Tips & gotchas

The quality of the output depends heavily on the clarity and specificity of the prompt. Providing context or constraints will help the AI agent generate more relevant and useful ideas.