Skill Details
Runtime
(claude-4-6-sonnet)
Example user message
[userMessage]: I want to build a desktop app that takes a keyword and generates Etsy-ready wall art prompts for Midjourney and Artistly. It should store past prompts and let me copy them easily
Example agent response
Desktop app that generates Etsy-ready wall art prompts from keywords for print-on-demand sellers.
Problem
Print-on-demand sellers manually write prompts for different platforms, leading to inconsistent quality and wasted time. Each platform requires different syntax and optimisation, making the process slow and error-prone.
Target User
Solo print-on-demand sellers creating wall art using Midjourney and Artistly.
Core Use Case
User enters a keyword (e.g. “vintage car”)
Selects platform (Midjourney / Artistly)
App generates optimised prompt
User copies prompt or saves it to history
MVP Features (v1)
Keyword input — user provides prompt seed
Platform selector — applies platform-specific formatting
AI prompt generation — produces optimised output
Copy to clipboard — instant usability
Prompt history — stores past generations locally
Out of Scope (v1)
Image generation inside app
Multi-user accounts
Cloud sync
Stack Decision
Layer Choice Reason
Platform Electron Desktop workflow fits creator tools
Frontend Vanilla JS Lightweight, fast build
Backend None Local-only app
AI Provider OpenAI Reliable prompt generation
AI Model gpt-4o-mini Cost-efficient
Storage SQLite Structured local history
Architecture Overview
Renderer collects user input → sends to main process → AI call → response returned → stored in SQLite → displayed + copyable.
Data flow:
User input → Prompt builder → AI → Store → Output
Output Contract
Format: Plain text prompt
Trigger: Button click
Includes: Fully optimised prompt string
Success definition: User copies and uses prompt without editing
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CLAUDE-4-6-SONNET
Convert rough app ideas into complete, developer-ready production specs. This skill runs a structured pre-engineering workflow that defines architecture, data models, AI integration, error states, and scope boundaries. It eliminates guesswork, prevents scope creep, and produces build-ready documentation suitable for developers or AI coding tools before any code is written.
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Added 3 weeks ago
