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prompt-engineer

Design, optimize, and evaluate production-grade prompts for AI pipelines.

47|11|Updated Mar 6, 2026
Search Tags:#versioning#cost-optimization#prompt-engineering#system-prompts#evaluation-framework#ai-prompts
One-click install
npx skills add https://github.com/buiphucminhtam/forgewright --skill prompt-engineer-buiphucminhtam
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineer
Source: https://github.com/buiphucminhtam/forgewright/tree/main/skills/prompt-engineer
Command: npx skills add https://github.com/buiphucminhtam/forgewright --skill prompt-engineer-buiphucminhtam

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Designs, optimizes, and evaluates production-grade prompts for AI features, enabling reliable system prompts, chain-of-thought prompts, and cost-aware evaluation pipelines.

Core Features & Use Cases

  • End-to-end prompt design for production AI features, including system prompts, user templates, and evaluation plans.
  • Versioned prompt pipelines with guardrails and cost optimization to reduce runtime and risk.
  • Real-world use case: Create and validate prompts for AI-heavy features used in a production orchestrator to ensure consistent outputs and measurable ROI.

Quick Start

Generate a production-grade prompt design plan for a new AI feature, including system prompt, user template, few-shot examples, and evaluation strategy.

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 reliable outputs?▼

Design production-grade AI prompts by structuring system prompts, user templates, and few-shot examples. This approach ensures consistent outputs and measurable ROI for AI-heavy features within a production orchestrator.

What is the best way to evaluate and version AI prompt pipelines?▼

Evaluate and version AI prompt pipelines by implementing structured evaluation frameworks, guardrails, and cost optimization. This reduces runtime and risk while ensuring production-ready monitoring across end-to-end AI pipelines.

How does chain-of-thought prompt engineering work for AI features?▼

Chain-of-thought prompt engineering structures prompts to guide AI reasoning step-by-step. It is part of a structured prompt architecture that includes system prompts and few-shot examples to meet production requirements.

Can I optimize AI prompt costs without sacrificing output reliability?▼

Optimize AI prompt costs by building versioned prompt pipelines with guardrails and cost-aware evaluation frameworks. This reduces runtime and risk while maintaining reliable, production-grade outputs.

Does prompt engineering work for scaling AI-heavy features in production?▼

Prompt engineering scales AI-heavy features by creating end-to-end prompt designs with evaluation plans and guardrails. This ensures consistent outputs and measurable ROI for production orchestrators.

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