company-creator

Generate compliant agent company packages from user input or repository analysis.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/jtangir87/paperclip --skill company-creator-jtangir87
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: company-creator
Source: https://github.com/jtangir87/paperclip/tree/main/.agents/skills/company-creator
Command: npx skills add https://github.com/jtangir87/paperclip --skill company-creator-jtangir87

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill simplifies the creation of agent company packages, enabling users to quickly set up organizational structures for AI teams and departments.

Core Features & Use Cases

  • Organizational Generation: Automates the assembly of company packages conforming to the Agent Companies specification.
  • Repo Analysis: Analyzes existing repositories to generate tailored company structures, roles, and skill references.
  • Use Case: Quickly scaffold a new AI business team from scratch or wrap an existing codebase into an organized agent ecosystem.

Quick Start

Initiate a new company package by describing your goals or providing a repository URL for analysis.

Frequently Asked Questions about company-creator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up an AI agent company from scratch?

Setting up an AI agent company from scratch involves generating a tailored organizational package with compliant directory structures and instructions based on your goals. This scaffolding process automates assembly to conform to agent company specifications.

Can I wrap an existing code repository into an agent organization?

Yes, you can wrap an existing repository into an agent organization by analyzing the codebase to generate tailored company structures, roles, and skill references. This repo-based setup requires integration with repo analysis tools.

What is agent scaffolding for AI collaboration?

Agent scaffolding is the process of creating structured organizational packages that define roles, workflows, and directory structures for AI teams. It enables seamless collaboration by modeling agent companies and generating compliant setup instructions.

What's the best way to model workflows for an AI business team?

The best way to model workflows for an AI business team is to use organizational generation to automate the assembly of company packages. This creates a structured agent ecosystem conforming to workflow modeling and agent company specifications.

Do I need repo analysis tools to generate agent company structures?

Yes, repo analysis tools are required when wrapping existing codebases into structured agent companies. These tools analyze your repository to generate tailored company structures, roles, and skill references for the organizational setup.