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mdjubaerhossensabbir
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create-prompt

Analyze conversation history to generate reusable .prompt.md templates.

Updated Jul 12, 2026
Search Tags:#automation#workflow#template#productivity#standardization#prompt
One-click install
npx skills add https://github.com/mdjubaerhossensabbir/Hiar_Jubba --skill create-prompt-mdjubaerhossensabbir
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: create-prompt
Source: https://github.com/mdjubaerhossensabbir/Hiar_Jubba/tree/main/create-prompt
Command: npx skills add https://github.com/mdjubaerhossensabbir/Hiar_Jubba --skill create-prompt-mdjubaerhossensabbir

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of inconsistent AI outputs by formalizing successful interaction patterns into reusable, standardized prompt files.

Core Features & Use Cases

  • Pattern Generalization: Analyzes conversation history to identify repeatable tasks like code refactoring or test generation.
  • Standardized Templates: Creates structured .prompt.md files that ensure consistent context and output formatting.
  • Use Case: If you find yourself repeatedly asking the AI to explain complex code blocks in a specific style, use this Skill to capture that process into a reusable prompt for future use.

Quick Start

Ask the assistant to create a new prompt file based on the current conversation pattern to standardize your workflow.

Frequently Asked Questions about create-prompt

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

FAQPage Schema
How do I turn repetitive conversation patterns into reusable prompt templates?▼

To create reusable prompt templates, this Skill analyzes your conversation history to identify repeatable task patterns and generates standardized .prompt.md files for consistent AI-assisted workflows.

What is the best way to standardize AI outputs for code refactoring or test generation?▼

The best way to standardize AI outputs is by generalizing repeatable tasks into structured prompt files, ensuring consistent context and output formatting across your automation workflows.

How does conversation history analysis work for creating workflow templates?▼

Conversation history analysis works by detecting repeatable task patterns, such as explaining complex code blocks, and formalizing those successful interaction processes into a reusable template.

Do I need to follow agent-customization guidelines to generate .prompt.md files?▼

Yes, you need to follow established agent-customization guidelines to ensure high-quality prompt structure and effectiveness when generating your standardized .prompt.md files.

Can I use this to automate consistent code explanation prompts across different domains?▼

Yes, you can use this to automate consistent code explanation prompts by capturing your specific interaction style into a reusable .prompt.md file for future use across various domains.

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