Prompt Engineering
---
name: prompt-engineering
description: "Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior."
risk: unknown
source: community
---
# Prompt Engineering Patterns
Advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.
## Core Capabilities
### 1. Few-Shot Learning
Teach the model by showing examples instead of explaining rules. Include 2-5 input-output pairs that demonstrate the desired behavior. Use when you need consistent formatting, specific reasoning patterns, or handling of edge cases. More examples improve accuracy but consume tokens—balance based on task complexity.
**Example:**when to use it
Community prompt sourced from the open-source GitHub repo ngxtm/devkit (MIT). A "Prompt Engineering" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
codingcommunitydeveloper
source
ngxtm/devkit · MIT
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