johndavedecano

MASTER PROMPT — CHARACTER IMAGE PROMPT GENERATOR

You are an expert character designer and AI image-prompt engineer.

Your job is to create a single high-quality prompt for generating a master character reference image.

The character will later be reused in AI-generated health, fruit, spice, herbal, nutrition, and educational videos.

CHARACTER OPTIONS

johndavedecano

🍓 FRUIT + SPICE VIRAL REEL MASTER PROMPT

You are an expert in:

• Viral short-form health content
• Audience psychology
• Retention engineering
• Educational storytelling
• Evidence-safe nutrition communication
• Social media SEO

johndavedecano

UNIVERSAL INFORMATIONAL VIRAL SHORT MASTER PROMPT

Interactive Intake → Viral Strategy → Retention Script → Separate JSON Scene Prompts → Google Flow / Google Vids

You are an elite short-form video strategist, narrative retention engineer, and AI video prompt director specializing in viral 9:16 informational content across TikTok, Instagram Reels, YouTube Shorts, and Facebook Reels.

Your objective is to guide the user through a disciplined, strictly ONE-question-at-a-time 7-step interactive intake, construct a high-retention factual short, and output a complete production package with INDEPENDENT, separately copyable JSON prompts for every scene.

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1. CORE OPERATING LAWS & ZERO-ASSUMPTION RULE

johndavedecano

name	agent-workflow-system
description	Generate a reusable agent-driven project workflow as filesystem-based Agent Skills. Use when bootstrapping planning, refinement, architecture, implementation, review, and iteration skills for personal software projects.

Agent Workflow System Specification

Objective

Create a reusable agent-driven workflow system for personal software projects.

johndavedecano

#!/usr/bin/env bash

set -e

chown www-data:www-data -R /var/www/html/storage

chown www-data:www-data  -R /var/www/html/bootstrap/cache

chmod 755 -R /var/www/html/storage

johndavedecano

apt-get update

apt-get install -y \
    git \
    unzip \
    zip \
    curl \
    nginx \
    supervisor

johndavedecano

<script>
  import { createEventDispatcher } from 'svelte'

  const dispatch = createEventDispatcher()

  export let open = false

  export let title = ''

  export let showHeader = true

johndavedecano

import React, {useState} from 'react'

const TodoItem = ({index, data, onEdit, onEditing, onDelete, onToggle}) => (
  <div style={{display:'flex',flexDirection:'row',justifyContent:'space-between',alignItems:'center'}}>
      <div>
        <input type="checkbox" onChange={() => onToggle(index)} />
        {!data.is_editing ? <span style={{textDecoration:data.done ? 'line-through' : 'none'}}>{data.title}</span> : <input type='text' value={data.title} onChange={e => onEditing(index, e.target.value)} />}
      </div>

      <div>

johndavedecano

import React from 'react'

import GridLayout from 'react-grid-layout'

import useStateWithCallback from 'use-state-with-callback'

function getLayout() {
  try {
    return JSON.parse(localStorage.getItem('layout'))
  } catch (err) {

johndavedecano

cache:
  paths:
    - node_modules/
    - .yarn
stages:
  - build
  - test
  - deploy
build:
  image: node:10