prompt-engineering-patterns

Collect prompt engineering best practices for few-shot learning and chain-of-thought prompting.

1|Updated Apr 21, 2025

Search Tags:#prompt engineering #optimization #chain-of-thought #few-shot #LLMs #template systems

One-click install

npx skills add https://github.com/agi-house-india/agihouse-site --skill prompt-engineering-patterns-agi-house-india

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: prompt-engineering-patterns
Source: https://github.com/agi-house-india/agihouse-site/tree/main/.claude/skills/prompt-engineering-patterns
Command: npx skills add https://github.com/agi-house-india/agihouse-site --skill prompt-engineering-patterns-agi-house-india

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill collects best practices for prompt engineering, including few-shot learning, chain-of-thought prompting, template systems, and robust evaluation techniques.

Core Features & Use Cases

Few-Shot Learning: Example selection strategies and diverse prompts for robust behavior.
Chain-of-Thought Prompting: Step-by-step reasoning patterns to improve complex tasks.
Prompt Optimization & Templates: Iterative refinement, modular templates, and evaluation metrics.
Use Case: Build production-grade prompts that consistently produce accurate, traceable outputs with reusable templates.

Quick Start

Start with a base prompt and apply a few variations (e.g., add step-by-step, add verification) to compare outputs.