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prompt-engineer

Designs, optimizes, and evaluates production-grade prompts for AI-heavy features.

Updated Mar 25, 2026
Search Tags:#evaluation#cost-optimization#prompt-engineering#production-readiness#system-prompt#ai-prompt#llm-workflow
One-click install
npx skills add https://github.com/ouakar/ubinarys-dental --skill prompt-engineer-ouakar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineer
Source: https://github.com/ouakar/ubinarys-dental/tree/main/skills/forgewright/skills/prompt-engineer
Command: npx skills add https://github.com/ouakar/ubinarys-dental --skill prompt-engineer-ouakar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designs, optimizes, and evaluates production-grade prompts for AI-heavy features, ensuring reliable and scalable prompt systems.

Core Features & Use Cases

  • System prompts, chain-of-thought prompts, few-shot examples, evaluation frameworks, and prompt versioning
  • Cost optimization, production hardening, and orchestrator routing for AI features
  • Use Case: Rapidly prototype and validate prompts for new AI features in large-scale apps

Quick Start

Design a production-grade prompt for a given feature and run the evaluation suite.

Frequently Asked Questions about prompt-engineer

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

FAQPage Schema
How do I design production-grade AI prompts for large-scale applications?▼

Production-grade AI prompts are designed by applying system prompts, few-shot examples, and evaluation frameworks within a centralized orchestrator to ensure robust guardrails and reliable prompt templates for large-scale features.

What is the best way to evaluate and version LLM workflows?▼

The best way to evaluate LLM workflows is by running an evaluation suite that tests prompt templates against established criteria, while applying prompt versioning to track iterations and ensure production readiness.

How does prompt versioning and orchestrator routing work for AI features?▼

Orchestrator routing directs AI feature requests to the correct versioned prompt template, ensuring that prompt versioning maintains template integrity and production hardening across codebases.

When do I need few-shot examples and testable prompt templates?▼

You need few-shot examples and testable prompt templates when rapidly prototyping and validating prompts for new AI features to satisfy requirements for robust guardrails and scalable prompt systems.

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