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Laravel Progressive Learning

Checked
ivanfuhr·vlatest·backend·MIT

This skill guides you through Laravel development incrementally, boosting your skills and confidence step-by-step for efficient learning.

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 ivanfuhr/laravel-progressive-learning --skill laravel-progressive-learning -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

ivanfuhr

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 ivanfuhr/laravel-progressive-learning at bd18555983.

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

Commit
bd18555983
Manifest
SKILL.md
Scanned
3 files, 178 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 progressive learning capabilities for Laravel applications. It allows AI agents to understand and interact with Laravel projects, incrementally building knowledge about the codebase and its functionalities. The agent can learn from existing code, documentation, and tests to improve its understanding of the application's structure and logic.

When to use it

  • Codebase onboarding: Quickly familiarize an AI agent with a new or large Laravel project.
  • Automated refactoring: Enable the agent to suggest and implement small, incremental code changes based on learned patterns.
  • Test generation: Have the agent generate unit tests for existing Laravel components by understanding their functionality.
  • Documentation improvement: The AI can identify areas where documentation is lacking or unclear, contributing to better project maintainability.

Key capabilities

  • Laravel Project Understanding
  • Progressive Learning
  • Codebase Interaction
  • Incremental Knowledge Building

Example prompts

  • "Explain the purpose of this Laravel controller and its associated models."
  • "Generate a unit test for this specific route in my Laravel application."
  • "Suggest improvements to this Eloquent query for better performance."

Tips & gotchas

The agent's effectiveness depends on the quality and availability of existing code, documentation, and tests within the Laravel project. A well-structured codebase will yield more accurate and useful results.