nidhinjs / prompt-master

A Claude skill that writes the accurate prompts for any AI tool. Zero tokens or credits wasted. Full context and memory retention. No re-prompting your way to an answer you should have gotten on attempt one.
**Works with:** Claude, ChatGPT, Codex, Grok, Gemini, o1/o3, MiniMax, Cursor, Claude Code, GitHub Copilot, Windsurf, Bolt, v0, Lovable, Devin, Perplexity, Midjourney, DALL-E, Stable Diffusion, ComfyUI, Sora, Runway, ElevenLabs, Zapier, Make, and any AI tool you throw at it.
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## 🚀 Installation
### RECOMMENDED - Claude.ai (browser)
1. Download this repo as a ZIP
2. Go to **claude.ai → Sidebar → Customize → Skills → Upload a Skill**
### OR Clone directly into Claude Code skills directory (Not Suggested)
 [code] 
## 🔥 The Problem This Solves
Every AI user wastes credits the same way:
> Write vague prompt → get wrong output → re-prompt → get closer → re-prompt again → finally get what you wanted on attempt 4
That's 3 wasted API calls. Multiply by 50 prompts a day. That's real money and real time gone.
### The key insight
> "The best prompt is not the longest. It's the one where every word is load-bearing."
Most "prompt generators" make prompts longer. This skill makes them sharper.
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## 🎯 Usage
In Claude, you can invoke the skill naturally:
 [code] 
 [code] 
 [code] 
 [code] 
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 [code] 
Or explicitly invoke it:
 [code] 
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## How It Works
Prompt Master runs a structured pipeline on every request:
1. **Detects the target tool** — figures out which AI system the prompt is for and routes silently to the right approach
2. **Extracts 9 dimensions of intent** — task, input, output, constraints, context, audience, memory, success criteria, examples
3. **Asks targeted clarifying questions** — max 3 questions if critical info is missing, never more
4. **Routes to the right framework** — picks and applies the correct prompt architecture automatically, never shown to the user
5. **Applies safe techniques only** — role assignment, few-shot examples, XML structure, grounding anchors, memory block as needed
6. **Checks model recency** — verifies exact models and controls against official provider docs when the request depends on "latest"
7. **Runs a token efficiency audit** — strips every word that doesn't change the output
8. **Delivers the prompt** — one clean copyable block with a one-line strategy note
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## Full Example #1: Generating Prompts for Images
### User Input
 [code] 
### Generated Prompt
 [code] 
**🎯 Target:** Midjourney · **⚡ Framework:** Visual Descriptor · **💰 Tokens:** Light (~60) · **💡 Strategy:** Comma-separated descriptors over prose, lighting and mood anchored early, aspect ratio and version locked, negative prompt prevents style drift.
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## Full Example #2: Generating Prompts for Coding
### User Input
 [code] 
### Generated Prompt
 [code] 
**🎯 Target:** Claude Code · **💰 Tokens:** Medium (~380) · **💡 Strategy:** Every vague Notion aesthetic cue translated into exact hex values and pixel specs — Claude Code cannot guess wr