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Laravel:Prompt Structure

Checked
jpcaparas·vlatest·backend·MIT

This skill generates structured prompts for Laravel development, streamlining your workflow and ensuring consistent, effective communication with AI assistance.

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:prompt-structure -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/prompt-structure/SKILL.md
Scanned
1 file, 133 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 provides structured prompts for Laravel applications. It allows you to define prompt templates with placeholders that can be dynamically filled in based on application data, ensuring consistent and reusable prompt generation. This is particularly useful when interacting with LLMs within a Laravel project.

When to use it

  • Generating API documentation from code comments.
  • Creating personalized email content for users based on their profile information.
  • Building chatbot responses that incorporate relevant context from the application's database.
  • Automating report generation by dynamically inserting data into predefined templates.

Key capabilities

  • Prompt template definition with placeholders.
  • Dynamic placeholder replacement using Laravel variables.
  • Reusability of prompt structures across different parts of an application.

Example prompts

  • "Generate a documentation string for the following code: [code_snippet]"
  • "Create an email to [user_name] regarding their recent order, including details like [order_id] and [total_amount]."
  • "Construct a chatbot response based on this user query: [query], using context from [relevant_data]."

Tips & gotchas

  • Requires a working Laravel installation.
  • Ensure placeholders in your prompt templates accurately reflect the available data within your application.