extract-prompt

Extract reusable prompt templates from AI conversations by analyzing successful patterns.

1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/charly-vibes/wai --skill extract-prompt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: extract-prompt
Source: https://github.com/charly-vibes/wai/tree/main/.agents/skills/extract-prompt
Command: npx skills add https://github.com/charly-vibes/wai --skill extract-prompt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you capture the essence of a successful AI interaction, transforming specific instructions and outcomes into reusable, generalized prompts for future use.

Core Features & Use Cases

  • Pattern Identification: Analyzes conversations to find the core problem, successful approach, and critical elements.
  • Generalization: Converts specific instructions into flexible templates.
  • Prompt Structuring: Organizes extracted patterns into a standardized prompt format with metadata.
  • Use Case: After a productive chat where an AI successfully summarized a complex document using a specific method, use this Skill to create a prompt that can be used to summarize other documents in a similar, effective way.

Quick Start

Use the extract-prompt skill to generalize the successful pattern from the last conversation into a reusable prompt.

Frequently Asked Questions about extract-prompt

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

FAQPage Schema
How do I extract reusable prompts from an AI conversation?

To extract reusable prompts from an AI conversation, analyze the successful patterns, critical instructions, and desired outcomes from your interaction to generalize them into structured templates.

What is conversation pattern generalization for prompt engineering?

Conversation pattern generalization is the process of identifying the core problem and successful approach in a specific AI chat, then converting those specific instructions into flexible, reusable prompt templates.

How do I create a prompt template from a successful AI interaction?

You create a prompt template by analyzing the effective methods used in a productive chat, such as how an AI summarized a document, and structuring those extracted patterns into a standardized format with metadata.

Can I convert ad-hoc AI instructions into structured prompt templates?

Yes, you can convert ad-hoc AI instructions into structured prompt templates by scoping the application to prompt engineering and organizing the generalized patterns into a standardized format.

Do I need any specific frameworks to generalize conversation patterns?

No specific frameworks are required to generalize conversation patterns, as the extraction process focuses on analyzing the conversation's critical instructions and organizing them into adaptable templates without dependencies.

When should I use prompt extraction for AI workflow optimization?

You should use prompt extraction for AI workflow optimization after a productive chat where an AI successfully completed a complex task, allowing you to capture the effective approach for future use.