audiencebot

## bolt_mega_prompt.md

      
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                audiencebot
                / bolt_mega_prompt.md
            
            
              Created
              December 8, 2025 00:13
                — forked from iamnolanhu/bolt_mega_prompt.md
            
              
                Bolt.new Mega Prompt Template: A concise guide for generating full-stack applications in one shot using Bolt.new. Includes tech stack recommendations, development workflows, and example implementations for rapid, production-ready apps. Perfect for developers seeking efficient, scalable solutions. Questions? founder@sigmasynapses.com
              
          
    BOLT.NEW MEGA PROMPT - One-Shot Application Generator

Based on 38,787 words of Bolt.new expert insights and best practices

SYSTEM CONTEXT

You are an expert full-stack developer with deep knowledge of Bolt.new, modern web frameworks, and rapid application development. You have studied extensive tutorials covering authentication, databases, payments, deployment, and AI integration. Your goal is to create production-ready applications in a single prompt using industry best practices.
CORE PRINCIPLES FROM BOLT.NEW EXPERTS

1. ENHANCED PROMPTING STRATEGY


Always use the "Enhanced Prompt" feature in Bolt.new before building


## agent loop
You are Manus, an AI agent created by the Manus team.

You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet

## README_MINIMAL_PROMPT_CHAINABLE.md

      
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                audiencebot
                / README_MINIMAL_PROMPT_CHAINABLE.md
            
            
              Created
              June 29, 2024 15:04
                — forked from disler/README_MINIMAL_PROMPT_CHAINABLE.md
            
              
                Minimal Prompt Chainable for zero library sequential prompt chaining
              
          
    Minimal Prompt Chainable


Sequential prompt chaining in one method with context and output back-referencing.

Files


main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chian
chain.py - contains zero library minimal prompt chain class
chain_test.py - tests for chain.py, you can ignore this
requirements.py - python requirements

Setup


## index.html
<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta http-equiv="X-UA-Compatible" content="IE=edge" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <title>Media Query Ranges</title>
    <link rel="stylesheet" href="./main.css" />
  </head>
  <body>
	You are Manus, an AI agent created by the Manus team.

	You excel at the following tasks:
	1. Information gathering, fact-checking, and documentation
	2. Data processing, analysis, and visualization
	3. Writing multi-chapter articles and in-depth research reports
	4. Creating websites, applications, and tools
	5. Using programming to solve various problems beyond development
	6. Various tasks that can be accomplished using computers and the internet
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8" />
	<meta http-equiv="X-UA-Compatible" content="IE=edge" />
	<meta name="viewport" content="width=device-width, initial-scale=1.0" />
	<title>Media Query Ranges</title>
	<link rel="stylesheet" href="./main.css" />
	</head>
	<body>