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prompt-enhancer

Generate structured Mermaid flowcharts from natural language prompts using BRAID reasoning.

23|Updated Mar 8, 2026
Search Tags:#prompt engineering#mermaid#ai planning#reasoning graph#braid#flowchart generation
One-click install
npx skills add https://github.com/yasinatesim/tuvix.js --skill prompt-enhancer-yasinatesim
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-enhancer
Source: https://github.com/yasinatesim/tuvix.js/tree/main/.claude/skills/prompt-enhancer
Command: npx skills add https://github.com/yasinatesim/tuvix.js --skill prompt-enhancer-yasinatesim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill transforms vague prompts or complex conversations into structured, actionable reasoning flows, ensuring clarity and precision in AI interactions.

Core Features & Use Cases

  • BRAID Reasoning: Implements atomic nodes, procedural scaffolding, and deterministic branching for robust AI planning.
  • Mermaid Flowcharts: Generates visual, easy-to-understand reasoning graphs.
  • Use Case: Use this skill to break down a complex user request into a step-by-step plan that an AI can follow, ensuring all constraints are met and the final output is accurate and well-structured.

Quick Start

Use the prompt-enhancer skill to generate a Mermaid flowchart for the prompt "Create a marketing plan for a new sustainable coffee brand".

Frequently Asked Questions about prompt-enhancer

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

FAQPage Schema
How do I structure vague prompts into actionable AI planning steps?▼

To structure vague prompts, you can use prompt engineering to generate Mermaid flowcharts. This breaks down complex requests into deterministic branches and atomic nodes for clear AI planning.

What is BRAID reasoning and how does it help with task decomposition?▼

BRAID reasoning is a framework using atomic nodes and procedural scaffolding for task decomposition. It helps by providing deterministic branching to ensure multi-step AI processes are planned accurately.

How do I generate Mermaid flowcharts from natural language prompts?▼

You can generate Mermaid flowcharts by processing natural language prompts through a reasoning graph structure. This transforms complex conversations into visual, easy-to-understand reasoning flows.

Can I use this to break down complex user requests for AI agents?▼

Yes, you can use this prompt engineering approach to break down complex user requests. It creates a step-by-step reasoning graph that AI agents follow to meet constraints and produce accurate outputs.

What is the best way to visualize multi-step reasoning processes for AI?▼

The best way to visualize multi-step reasoning processes is by generating structured Mermaid flowcharts. These visual reasoning graphs provide procedural scaffolding for complex task execution.

Why do my AI prompts fail when handling complex multi-step instructions?▼

AI prompts often fail due to a lack of procedural scaffolding and deterministic branching. Structuring prompts with a reasoning graph ensures all constraints are met and outputs remain accurate.

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