prompt-engineering-principles

Define and enforce hardened prompt engineering principles for agent systems.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/lorehq/lore --skill prompt-engineering-principles
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prompt-engineering-principles
Source: https://github.com/lorehq/lore/tree/main/.lore/skills/prompt-engineering-principles
Command: npx skills add https://github.com/lorehq/lore --skill prompt-engineering-principles

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Hardened prompt engineering principles help teams write clear, safe, and effective prompts for agent-based systems, reducing drift and errors.

Core Features & Use Cases

  • Structured guidance: Clear rules for prompt construction, anchoring, and evaluation.
  • Safety and consistency: Enforces risk controls to prevent prompt injection and hallucination.
  • Use Case: Integrate these principles into design docs and AI workflows to standardize prompt quality across projects.

Quick Start

Apply hardened prompt engineering principles to craft robust, safe agent prompts in your projects.

Frequently Asked Questions about prompt-engineering-principles

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

FAQPage Schema
What are prompt engineering principles for building reliable agent systems?

Prompt engineering principles are structured rules for prompt construction, anchoring, and evaluation that help teams write clear, safe, and effective prompts for agent-based systems, reducing drift and errors.

How do I reduce prompt drift and prevent hallucination in AI agents?

To reduce prompt drift and prevent hallucination in AI agents, apply hardened prompt engineering principles that enforce safety and consistency controls, providing structured guidance for prompt construction and evaluation across production workflows.

How do I write effective agent prompts that resist prompt injection?

Write effective agent prompts that resist prompt injection by enforcing risk controls and safety principles defined in structured guidance, standardizing prompt quality and consistency across all project design docs and AI workflows.

Can I use these prompt engineering guidelines for production AI deployments?

Yes, these prompt engineering guidelines apply directly to production deployments, offering AI product teams and developers structured rules to standardize prompt quality, enforce risk controls, and maintain consistency across workflows.

What is the best way to standardize prompt quality across multiple AI projects?

The best way to standardize prompt quality across multiple AI projects is to integrate hardened prompt engineering principles into your design docs and AI workflows, applying clear rules for prompt construction, anchoring, and evaluation.