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prompting-pattern-library

Analyze prompt quality and provide prompting patterns for LLM interactions.

Updated Apr 11, 2026
Search Tags:#AI interaction#prompt analysis#prompting#prompt creation#prompt troubleshooting
One-click install
npx skills add https://github.com/kwoekel/Jones --skill prompting-pattern-library-kwoekel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompting-pattern-library
Source: https://github.com/kwoekel/Jones/tree/main/skills/prompting-pattern-library
Command: npx skills add https://github.com/kwoekel/Jones --skill prompting-pattern-library-kwoekel

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive library of prompting patterns, frameworks, and examples, helping users create effective AI interactions, analyze prompt quality, and troubleshoot issues.

Core Features & Use Cases

  • Comprehensive Library: Access a vast collection of 25+ proven prompting patterns.
  • Model-Specific Guidance: Get insights for Claude, GPT-4, GPT-4o, and Gemini.
  • Advanced Orchestration: Build multi-step AI workflows and agent systems.
  • Use Case: Ideal for developing prompting guides, analyzing prompt effectiveness, or teaching prompting techniques.

Quick Start

Use the prompting-pattern-library skill to analyze the effectiveness of a given prompt.

  • Prompt: "Summarize the main points of the following article."
  • Action: Analyze prompt for clarity, structure, and model compatibility.

Frequently Asked Questions about prompting-pattern-library

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze the effectiveness of an AI prompt?▼

To analyze an AI prompt, evaluate its clarity, structure, and model compatibility against proven prompting patterns. This process identifies weaknesses in your instructions to help optimize interactions with large language models.

What are the best prompting patterns for multi-step AI workflows?▼

Effective multi-step AI workflows use advanced orchestration prompting patterns and frameworks to build agent systems. These structured patterns guide large language models through sequential tasks to ensure accurate results.

Does prompt optimization work differently for Claude, GPT-4, and Gemini?▼

Prompt optimization requires model-specific guidance for Claude, GPT-4, GPT-4o, and Gemini. Adjusting prompting patterns to align with specific model considerations improves AI interaction effectiveness and output quality.

How do I troubleshoot a prompt that is not working?▼

To troubleshoot a prompt that is not working, apply proven prompting frameworks to analyze its structure and clarity. Identifying deviations from established patterns helps isolate and resolve AI interaction failures.

When do I need to use advanced prompting frameworks?▼

You need advanced prompting frameworks when developing prompting guides, teaching prompting techniques, or building complex agent systems. These frameworks provide structured patterns for orchestrating multi-step tasks across various AI models.

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