lisa-prompt-engineering

Generate prompts, implementation plans, and specification files for Lisa iterative loops.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/simtransforma/HAOS_HAU-AI-Operating-System --skill lisa-prompt-engineering
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lisa-prompt-engineering
Source: https://github.com/simtransforma/HAOS_HAU-AI-Operating-System/tree/main/HAOS/skills/lisa-prompt-engineering
Command: npx skills add https://github.com/simtransforma/HAOS_HAU-AI-Operating-System --skill lisa-prompt-engineering

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of high-quality prompts, specifications, and implementation plans for the Lisa plugin, eliminating manual prompt engineering and ensuring optimal results for iterative AI tasks.

Core Features & Use Cases

  • Automated Prompt Generation: Describe your project, and the Skill generates PROMPT.md, IMPLEMENTATION_PLAN.md, and specs/features.md.
  • Complexity Analysis: Intelligently assesses project scope to determine the best approach (Simple, Medium, Complex).
  • Use Case: You need to implement a complex REST API. Instead of spending hours writing a prompt, you describe the API to this Skill, answer a few questions, and receive fully-generated, ready-to-run Lisa files.

Quick Start

Use the lisa-prompt-engineering skill to create a prompt for implementing a JWT authentication system.

Frequently Asked Questions about lisa-prompt-engineering

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

FAQPage Schema
How do I generate implementation plans and prompt files for complex code generation tasks?

To generate implementation plans for code generation, describe your project to the Skill and answer clarifying questions. The system analyzes project complexity and outputs structured prompt files like PROMPT.md and IMPLEMENTATION_PLAN.md for deterministic AI execution.

What is spec-based verification for iterative AI development loops?

Spec-based verification for iterative AI development uses generated specification files to validate code against expected behaviors. This mechanism structures output for deterministic execution and tracks progress throughout complex development tasks.

Can I use automated prompt engineering for a simple REST API implementation?

Yes, you can use automated prompt engineering for a REST API. The Skill intelligently assesses project scope to determine the best approach, categorizing complexity as Simple, Medium, or Complex to match the generation strategy to your task.

What's the best way to structure prompts for deterministic AI execution in iterative loops?

The best way to structure prompts for deterministic AI execution is to use an automated tool that asks clarifying questions and generates structured files like specs/features.md. This ensures your iterative loop system receives comprehensive, well-defined inputs.

Why do I need specification files for my iterative AI execution workflow?

You need specification files for iterative AI execution to enable spec-based verification and progress tracking. These files eliminate manual prompt engineering by providing deterministic, structured inputs that ensure optimal results for complex development tasks.