work-principles

Define and enforce AI employee work principles from CEO requirements.

380|74|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/1mancompany/OneManCompany --skill work-principles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: work-principles
Source: https://github.com/1mancompany/OneManCompany/tree/main/company/human_resource/employees/00004/skills/work-principles
Command: npx skills add https://github.com/1mancompany/OneManCompany --skill work-principles

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill establishes clear, actionable work principles and behavioral guidelines for AI employees, ensuring they align with CEO directives and operational requirements.

Core Features & Use Cases

  • Requirement Analysis: Ensures all explicit and implicit CEO requirements are captured and understood.
  • Acceptance Criteria Mapping: Translates CEO requests into measurable outcomes.
  • Task Decomposition & Routing: Breaks down complex tasks and directs them to the most suitable AI agents.
  • Use Case: When a CEO requests a new feature, this Skill ensures the AI team understands every nuance, breaks down the work into manageable sub-tasks (e.g., design, development, testing), and assigns them to the appropriate specialists, reporting back on the rationale for each step.

Quick Start

Ensure all CEO requirements are captured and mapped to acceptance criteria before dispatching tasks.

Frequently Asked Questions about work-principles

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

FAQPage Schema
How do I define work principles for AI employees to follow?

Work principles for AI employees are defined by capturing CEO directives and translating them into actionable behavioral guidelines, ensuring explicit and implicit requirements are mapped to measurable acceptance criteria.

What is the best way to decompose complex tasks for AI agents?

Task decomposition for AI agents is best handled by breaking down complex CEO requests into manageable sub-tasks, mapping them to acceptance criteria, and routing each component to the most suitable specialist agent.

How does AI agent routing work for task handoff?

AI agent routing works by analyzing requirement acceptance criteria, matching sub-tasks to the best-fit specialized agents, executing complete task handoff, and reporting the routing rationale back to the user.

Can I enforce behavioral guidelines for an AI team?

Yes, you can enforce behavioral guidelines for an AI team by establishing personal work principles guided by CEO input, ensuring zero-miss requirement analysis and faithful acceptance criteria mapping across the team.

Why do I need acceptance criteria mapping for AI task management?

Acceptance criteria mapping is needed for AI task management because it translates CEO requests into measurable outcomes, ensuring that every explicit and implicit requirement is fully captured before agents begin work.

Does this approach work without dependencies or prior components?

Yes, this work principles framework operates without dependencies or components, applying behavioral guidelines directly to AI employee task routing and requirement analysis from CEO input.