golden-principles

Defines ten agent-first operating principles for repository governance and autonomous behavior.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/pazdedav/my-infraops-project --skill golden-principles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: golden-principles
Source: https://github.com/pazdedav/my-infraops-project/tree/main/.github/skills/golden-principles
Command: npx skills add https://github.com/pazdedav/my-infraops-project --skill golden-principles

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill codifies the fundamental operating principles for agents within this repository, ensuring consistent and aligned behavior across all automated tasks.

Core Features & Use Cases

  • Governs Agent Behavior: Provides a clear set of rules and guidelines for how agents should interact with the repository and perform tasks.
  • Ensures Consistency: Promotes a unified approach to infrastructure development and management by agents.
  • Use Case: When an agent needs to decide on a course of action or interpret a requirement, it consults these principles to ensure its decision aligns with the project's established philosophy.

Quick Start

Consult the golden-principles skill to understand the agent-first operating principles for this repository.

Frequently Asked Questions about golden-principles

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

FAQPage Schema
What are agent-first operating principles for repository governance?

Agent-first operating principles are a set of 10 rules that govern autonomous agent behavior and decision-making within a repository to ensure consistent infrastructure development. They provide structured, mechanically validated guidelines for context management and invariant adherence.

How do I ensure consistent autonomous agent behavior in infrastructure development?

To ensure consistent autonomous agent behavior, implement a codified set of golden principles that govern agent decision-making and context management. This enforces a structured, documented, and mechanically validated approach to infrastructure tasks.

When do I need operating principles for governing agentic AI development?

You need operating principles for agentic AI development when automated agents must interpret requirements and make decisions aligned with project philosophy. They ensure consistent behavior across automated tasks and infrastructure management.

Can I use these governance principles to manage agent context and invariants?

Yes, these governance principles explicitly manage agent context and enforce adherence to invariants. They provide a structured framework that mechanically validates agent actions against established repository rules.

What is the best way to structure agent decision-making for automated tasks?

The best way to structure agent decision-making is to codify fundamental operating principles that agents consult before taking action. This ensures decisions align with the established philosophy and maintain invariants.

Why does an agent need a structured and mechanically validated approach to repository tasks?

An agent needs a structured, mechanically validated approach to prevent unchecked autonomous actions and ensure infrastructure development aligns with project invariants. Without it, agent behavior becomes inconsistent and difficult to govern.