Verified:GitHub

startCompany

Create Harness Engineering state files and initialize AI orchestration.

Updated May 21, 2026

Search Tags:#state management #ai orchestration #project bootstrapping #workspace initialization #capacity limits #workflow activation #monitoring toggles

Ready to run

npx skills add https://github.com/kinetas/harness_engineering --skill startcompany

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: startCompany
Source: https://github.com/kinetas/harness_engineering/tree/main/startCompany
Command: npx skills add https://github.com/kinetas/harness_engineering --skill startcompany

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It initializes the Harness Engineering system so the right orchestrators (Boss, Manager, Monitoring, Collector) and required state files are ready before you start creating or executing project work.

Core Features & Use Cases

Primes the AI runtime roles: Activates Boss AI and prepares on-demand coordination patterns for Manager AI, Monitoring AI, and Collector AI.
Creates required state artifacts: Generates doc/AI_list.txt and doc/company_state.json to establish capacity limits, toggles, and operational counters.
Validates prerequisites: Ensures the expected folder structure exists (doc/, develope/, add/, report/) and instructs the user to run /createCompany first if not.

Quick Start

Run /startCompany to initialize the Harness Engineering system and generate the doc state files needed for subsequent skills.

Frequently Asked Questions about startCompany

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

FAQPage Schema

How do I initialize an AI orchestration workspace before writing project requirements?▼

To initialize an AI orchestration workspace, you must generate the required doc/AI_list.txt and doc/company_state.json state files. This process activates the runtime roles and sets functional requirements for capacity limits, monitoring toggles, and operational counters before any project work begins.

What state files are required to bootstrap an AI engineering workflow?▼

Bootstrapping an AI engineering workflow requires doc/AI_list.txt and doc/company_state.json. These state files establish capacity limits, debug limits, report and monitor toggles, and operational counters needed to initialize the full orchestration system.

Do I need specific folders to set up AI capacity limits and monitoring toggles?▼

Yes, setting up AI capacity limits and monitoring toggles requires prerequisite folder validation for doc/, develope/, add/, and report/. If these directories are missing, you must run the initial workspace creation command before proceeding.

When should I activate the Boss AI and manager coordination patterns?▼

You should activate the Boss AI and manager coordination patterns during the workspace initialization phase. This primes the AI runtime roles and prepares on-demand coordination for Manager, Monitoring, and Collector AI prior to any project delegation.

What is the best way to configure sub-AI limits and operational counters for project bootstrapping?▼

The best way to configure sub-AI limits and operational counters is by initializing the orchestration system to generate the company_state.json file. This file directly manages functional requirements for manager limits, debug limits, and report toggles.