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Project Scaffolder

Listed
monkey1sai·vlatest·backend

This tool automatically creates detailed project scaffolding templates, streamlining setup and ensuring consistent documentation for new projects.

Repository

Install on your platform

This skill no longer installs under the name project-scaffolder. monkey1sai/openai-cli is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

monkey1sai

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.

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Not scanned. repository not found or private Source recorded as monkey1sai/openai-cli.
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About this skill

What it does

The project-scaffolder skill automates the creation of basic project structures. It allows users to quickly generate new projects with pre-defined file and directory layouts, saving time and ensuring consistency across different projects. This includes setting up initial files like READMEs and configuration files based on user specifications.

When to use it

  • Starting a new software development project from scratch.
  • Creating boilerplate code for web applications (e.g., React, Vue).
  • Generating a basic structure for data science projects involving notebooks and scripts.
  • Quickly setting up a simple API endpoint with minimal configuration.

Key capabilities

  • Project generation based on user-defined templates.
  • Automatic creation of initial project files (README, config files).
  • Support for various project types (web apps, data science projects, APIs).

Example prompts

  • "Create a new React project called 'my-app'."
  • "Generate a Python data science project with a Jupyter notebook and requirements.txt."
  • "Scaffold an API project using Flask."

Tips & gotchas

The skill's effectiveness depends on the availability of suitable templates. Ensure you have a clear understanding of the desired project structure before prompting the agent to generate it.