What is the Prompt Engineering Patterns skill?

It is a specialized capability for Claude Code that provides frameworks and best practices for building high-performance prompts for AI applications.

Can I use this skill to reduce LLM costs?

Yes, it includes optimization techniques for token efficiency and prompt pruning to reduce costs without sacrificing quality.

How does this help with production reliability?

It implements error recovery patterns, fallback instructions, and self-verification steps to ensure consistent outputs in real-world environments.

Does it support Chain-of-Thought reasoning?

Absolutely, the skill provides patterns for zero-shot and few-shot CoT to improve model logic and decision-making.

Prompt Engineering Patterns

Name: Prompt Engineering Patterns
Author: HermeticOrmus

byHermeticOrmus

0•

Data Science & ML

Master advanced techniques to maximize LLM performance, reliability, and controllability in production environments.

Prompt Engineering Patterns provides a comprehensive framework for designing, optimizing, and managing sophisticated prompts for Large Language Model (LLM) applications. It empowers developers to implement structured reasoning like Chain-of-Thought, manage dynamic few-shot learning systems, and create reusable templates that ensure consistent AI outputs. This skill is essential for moving beyond basic instructions to production-grade LLM interactions where reliability, token efficiency, and error handling are paramount.

Key Features

01Modular prompt template systems with variable interpolation and role-based composition

02Advanced Few-Shot Learning strategies for dynamic example selection

03Structured reasoning patterns including Chain-of-Thought and self-consistency

04Systematic prompt optimization workflows and iterative refinement techniques

05Pre-built system prompt designs for specialized AI personas and constraints

060 GitHub stars

Use Cases

01Optimizing production LLM outputs for higher consistency and accuracy

02Building complex reasoning agents using step-by-step logic traces

03Reducing token costs and latency through prompt pruning and prefix caching

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hermeticormus/hermetic-line prompt-engineering-patterns

For use in Claude.ai and ChatGPT

Download Skill