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Laravel:Using Examples In Prompts

Checked
jpcaparas·vlatest·backend·MIT

This skill generates Laravel code snippets directly within prompts for rapid development and efficient prototyping based on user requests.

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:using-examples-in-prompts -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/using-examples-in-prompts/SKILL.md
Scanned
1 file, 187 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 allows AI agents to leverage Laravel examples within prompts. It helps generate code snippets, understand existing Laravel projects, and provide context-aware solutions based on common Laravel patterns. The agent can use these examples for debugging, refactoring, or creating new features in a Laravel application.

When to use it

  • Debugging Laravel Code: When an AI agent needs to quickly understand the purpose of a code block within a Laravel project and identify potential issues.
  • Generating New Laravel Components: To create new controllers, models, or views based on existing Laravel conventions and patterns.
  • Understanding Existing Laravel Projects: When onboarding to a new Laravel project, this skill can help an agent rapidly grasp the codebase structure and common practices.
  • Refactoring Laravel Code: To suggest improvements to existing code by referencing best practices and common Laravel solutions.

Key capabilities

  • Laravel example integration
  • Code snippet generation
  • Context-aware solutions
  • Debugging assistance
  • Pattern recognition within Laravel projects

Example prompts

  • "Show me an example of a Laravel Eloquent relationship."
  • "How would I implement authentication in Laravel using the built-in features?"
  • "Generate a simple Laravel controller for managing blog posts, including basic CRUD operations."

Tips & gotchas

The agent's effectiveness depends on its understanding of Laravel fundamentals. Ensure the AI has some baseline knowledge of Laravel concepts like routing, controllers, and models to best utilize this skill.