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prompt-engineering-patterns - Master advanced prompt engineering techniques for LLMs.

Provides patterns and techniques to optimize prompt performance, reliability, and controllability in production LLM applications.

Tags

Updated: 2026-09-18
prompt-engineeringllmfew-shot-learningchain-of-thoughtsystem-prompts

Capabilities

Select dynamic few-shot examplesImplement chain-of-thought reasoningOptimize prompt performance metricsBuild reusable prompt templates

Typical Inputs

Natural language queriesTask constraints and instructionsExample datasets

Typical Outputs

Optimized prompt templatesRendered prompt stringsStructured prompt configurations

What this skill does

  • Select dynamic few-shot examples
  • Implement chain-of-thought reasoning
  • Optimize prompt performance metrics
  • Build reusable prompt templates
  • Design specialized system prompts

Inputs

  • Natural language queries
  • Task constraints and instructions
  • Example datasets
  • Retrieved context data

Outputs

  • Optimized prompt templates
  • Rendered prompt strings
  • Structured prompt configurations

Requirements

  • LLM application or model access
  • Python environment

Source

  • Spec: SKILL.md

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