I spend a stupid amount of time writing prompts. Prompts for ChatGPT, prompts for Gemini, prompts for Claude Code when I am building something for my blogs. And if you are anything like me, you know the cycle. You write a vague prompt, the AI gives you something half right, you re-prompt, it gets closer, you re-prompt again, and somewhere around attempt four you finally get what you wanted in the first place.
Every one of those wasted attempts costs tokens, credits, or at minimum your time. That is exactly the problem a GitHub repo called Prompt Master is built to solve, and after digging through it properly, I think it is one of the most useful free Claude skills I have come across.
What Is Prompt Master?
Prompt Master is an open source Claude skill by a developer named nidhinjs. You can find it at github.com/nidhinjs/prompt-master, and at the time of writing it has crossed 10,000 stars on GitHub with over 1,200 forks, which tells you the idea has clearly struck a nerve.
The pitch is simple. Instead of writing prompts yourself, you tell Claude what you want in plain language, and the skill turns it into a sharp, ready-to-paste prompt for whatever AI tool you are using. Not just Claude either. It has specific profiles for more than 30 tools, including ChatGPT, Gemini, Midjourney, DALL-E, Stable Diffusion, Cursor, Claude Code, GitHub Copilot, v0, Lovable, Sora, Runway, ElevenLabs, and automation platforms like Zapier and n8n.
The line from the README that sums up its whole philosophy is this: the best prompt is not the longest, it is the one where every word is load-bearing. Most prompt generators make your prompts longer. This one makes them sharper.
How It Actually Works
I read through the full SKILL.md file to understand what happens behind the scenes, and it is more structured than I expected.
Every time you ask it for a prompt, it runs a pipeline. First, it detects which AI tool the prompt is for. Then it silently extracts nine dimensions of your intent: the task, the input, the output format, constraints, context, audience, memory, success criteria, and examples. If something critical is missing, it asks clarifying questions, but never more than three. I really like that limit, because nothing kills momentum faster than an AI interrogating you with ten questions before doing anything.
From there it picks one of 12 prompt templates automatically. There are frameworks in there like RTF, CO-STAR, and RISEN, plus specialized ones for image generation, agentic coding tools, and even a Prompt Decompiler mode for breaking down and adapting prompts you already have. The clever part is that all this routing happens silently. You never see the framework names. You just get one clean, copyable prompt block with a one-line note about the strategy it used.
Finally, it runs what it calls a token efficiency audit, stripping out every word that does not change the output. That is the “zero tokens wasted” promise in the repo description.
The 35 Credit-Killing Patterns
My favorite part of the repo is a list of 35 common prompt mistakes it detects and fixes, with before and after examples. A few that hit close to home for me:
Vague task verbs. “Help me with my code” becomes a precise instruction naming the exact function and the exact fix.
No success criteria. “Make it better” becomes “done when the function passes existing unit tests and handles null input.” The AI now knows exactly when to stop.
No negative prompts for image AI. This one matters a lot for anyone generating images. A plain portrait prompt gets “no watermark, no blur, no extra fingers, no distortion” added automatically.
Adding chain of thought to reasoning models. This surprised me. Telling models like o3 or DeepSeek-R1 to “think step by step” actually makes their output worse, because they already reason internally. Prompt Master knows this and strips it out.
No stop conditions for coding agents. If you use Claude Code or Cursor, runaway agents burning through credits are the single biggest money drain. The skill forces explicit stop conditions and file scope into every agentic prompt.
The Memory Block System
The other standout feature is what the author calls the Memory Block. When your conversation has history, the skill pulls out prior decisions, like your tech stack, naming conventions, and architecture choices, and prepends them to every new prompt so the AI never contradicts earlier work.
The README calls this the single biggest fix for long sessions, and honestly, I agree. Most of my wasted re-prompts in coding sessions come from the AI forgetting something we already settled three prompts ago.
How to Install It
Installation takes about a minute. Download the repo as a ZIP from GitHub, then go to claude.ai, open the sidebar, head to Customize, then Skills, and upload it there. If you prefer Claude Code, you can clone it straight into your skills directory, though the author recommends the claude.ai route.
Once installed, you invoke it naturally. Something like “write me a prompt for Cursor to refactor my auth module” or “generate a Midjourney prompt for a cyberpunk city at night” is enough to trigger it.
As someone who writes AI image prompts for a living and builds small tools with Claude Code on the side, this skill fits neatly into my workflow. The image prompt examples in the repo are genuinely good, with proper descriptor ordering, aspect ratios, and negative prompts included. The coding examples are even better, turning a one-line request into a full spec with exact hex values, animation timings, and completion criteria.
Is it magic? No. It is essentially prompt engineering knowledge packaged into a skill file that Claude reads on demand. But that is exactly why it works. You get expert-level prompts without needing to memorize any of the frameworks yourself.
It is MIT licensed, completely free, and actively maintained, with the latest version already updated for the newest Claude models. If you use more than one AI tool in your daily work, this is an easy recommendation. Install it once, and stop re-prompting your way to answers you should have gotten on the first try.