skills.rest
alunadev
alunadevCOMMUNITY
Explore all skills by this author →
Website𝕏@adrianlunadiazGitHub

prompt-engineering

Optimize AI prompts using a 6-step framework and detect failure modes.

3|Updated Jan 20, 2026
Search Tags:#prompt engineering#optimization#llm#prompt design#system prompts#ai prompts
One-click install
npx skills add https://github.com/alunadev/ald-skills --skill prompt-engineering-alunadev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineering
Source: https://github.com/alunadev/ald-skills/tree/main/skills/prompt-engineering
Command: npx skills add https://github.com/alunadev/ald-skills --skill prompt-engineering-alunadev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users create, analyze, and optimize prompts for AI models, ensuring they are effective, efficient, and produce reliable results for production systems.

Core Features & Use Cases

  • Prompt Analysis & Improvement: Critiques existing prompts and suggests specific optimizations.
  • System Prompt Creation: Builds robust system prompts using a structured 6-step framework.
  • Failure Mode Detection: Identifies and addresses common prompt engineering mistakes.
  • Cost Optimization: Balances AI performance with token efficiency.
  • Use Case: You've written a prompt for a customer service bot, but it's not performing well. Use this Skill to analyze the prompt, identify its weaknesses, and get a rewritten version that is more effective and less prone to errors.

Quick Start

Use the prompt-engineering skill to analyze and improve the following prompt: "Write a summary of the document."

Frequently Asked Questions about prompt-engineering

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

FAQPage Schema
How do I optimize AI prompts for production systems?▼

System prompt design requires a structured 6-step framework that defines task constraints, establishes behavioral boundaries, and integrates research-backed techniques to produce robust, reliable AI outputs for production environments.

How do I design robust system prompts for LLM applications?▼

System prompt design requires a structured 6-step framework that defines task constraints, establishes behavioral boundaries, and integrates research-backed techniques to produce robust, reliable AI outputs for production environments.

What is the best way to analyze and fix failing AI prompts?▼

Balancing AI performance with token efficiency involves analyzing prompt constraints and structure to reduce unnecessary tokens while maintaining output quality, ensuring cost-efficiency for AI-driven features.

How can I reduce token costs without losing AI performance?▼

Balancing AI performance with token efficiency involves analyzing prompt constraints and structure to reduce unnecessary tokens while maintaining output quality, ensuring cost-efficiency for AI-driven features.

Do I need prior prompt testing methodologies to use this optimization framework?▼

Common prompt engineering mistakes include failing to define clear constraints, lacking structured testing methodologies, and ignoring failure modes, which lead to unreliable AI outputs and increased token costs in production systems.

What are common failure modes in AI prompt engineering?▼

Common prompt engineering mistakes include failing to define clear constraints, lacking structured testing methodologies, and ignoring failure modes, which lead to unreliable AI outputs and increased token costs in production systems.

Related Skills

Explore More Software Engineering Skills→
89jobrien89jobrien
4

ai-ethics

Detect AI bias and assess fairness in machine learning models.

Community
Advanced
thapaliyabikendrathapaliyabikendra
24

prompt-engineering-patterns

Designs production prompts with few-shot, chain-of-thought, and template systems.

Community
Intermediate
AgLyx3AgLyx3

senior-prompt-engineer

Design prompt patterns and evaluation frameworks for LLM-driven workflows.

Community
Advanced
JonathanMitchell1234JonathanMitchell1234

ai-engineer-expert

Implement production AI systems with LLM integration and RAG.

Community
Advanced