What problem does it solve?
Most AI users waste tokens and time on repeated re-prompting because their initial prompts are vague, poorly structured, or not tailored to the target AI tool's specific requirements, leading to incorrect outputs and wasted API credits.
Core Features & Use Cases
- Auto Tool Detection & Routing: Automatically identifies the target AI tool (Claude, ChatGPT, Midjourney, coding agents, workflow automation platforms, etc.) and applies tool-specific prompt best practices without user intervention.
- Intent Extraction & Pattern Correction: Extracts 9 dimensions of user intent and silently fixes 35 common credit-killing prompt patterns (vague tasks, missing constraints, incorrect scope, etc.) while preserving the user's original goal.
- Context Retention for Long Workflows: Includes a memory block system to carry forward prior session decisions, eliminating the need to re-explain project context for multi-turn prompt sessions.
- Use Case Example: Generate an optimized prompt for Cursor to refactor an authentication module, or create a Midjourney prompt for a cyberpunk cityscape that produces the desired output on the first attempt.
Quick Start
Use the prompt-master skill to generate an optimized, copy-paste ready prompt for Claude Code to build a React todo app with Supabase integration.