Prompt Master: Sharper Prompts For Any AI Tool

P

Prompt Master turns vague requests into tighter prompts for any AI tool. It targets wasted tokens, repeated retries, and missing context. You use it when one bad prompt costs more than the tool itself.

Threads user, in response to Prompt Master for Claude

The skill works across Claude, ChatGPT, Gemini, Cursor, and many other tools. It sharpens wording instead of padding prompts with extra text. That matters when you want one clean answer instead of a long correction loop.

Project link:
https://github.com/nidhinjs/prompt-master

How It Works

Prompt Master lives as a Claude skill and rewrites your request with more precise constraints. It keeps the focus on the task, the output shape, and the missing context. You install it into Claude.ai or Claude Code, then feed it your rough prompt.

claude prompt master

That workflow pairs well with Claude HUD for terminal visibility and SkillsMP for reusable agent skills. It also fits the same team workflow that made NOMAD useful for shared, local installs. You can keep the prompt logic in Git and reuse it across projects.

  1. Download the repository or clone it into your Claude skills directory.
  2. Upload the skill through Claude.ai or place it in Claude Code.
  3. Write your rough prompt and let the skill tighten it.
  4. Send the refined prompt to your target AI tool.

The catch is simple. This does not replace judgment or domain knowledge. It helps you ask better questions, and that is usually the bottleneck.

The Verdict

Prompt Master is useful because it attacks prompt waste at the source. It will not fix a bad goal, but it will reduce noisy wording and rework. If you use AI tools often, this belongs in your workflow.

About the author

Hairun Wicaksana

Hi, I just another vibecoder from Southeast Asia, currently based in Stockholm. Building startup experiments while keeping close to the KTH Innovation startup ecosystem. I focus on AI tools, automation, and fast product experiments, sharing the journey while turning ideas into working software.

Get in touch

Quickly communicate covalent niche markets for maintainable sources. Collaboratively harness resource sucking experiences whereas cost effective meta-services.