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nidhinjs/prompt-master

A prompt engineer for your prompt engineering

This Claude skill writes tighter prompts for 30+ AI tools so you stop burning tokens on re-prompting.

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What it does Prompt Master is a Claude skill that interviews you briefly, then spits out a refined prompt targeted to whatever AI tool you’re actually using — Midjourney, Claude Code, Cursor, DALL-E, Zapier, even local Ollama models. It claims to cut the usual four-attempt dance down to one by front-loading the specifics.

The interesting bit The skill doesn’t just pad prompts with buzzwords. It runs a seven-step pipeline: detects the target tool, extracts nine dimensions of intent, asks at most three clarifying questions, picks from twelve internal templates (RTF, CO-STAR, RISEN, etc.), then audits for token waste. The “Universal Fingerprint” fallback for unknown tools is the pragmatic touch — four generic questions that let it guess the right shape for anything it hasn’t seen before.

Key highlights

  • Covers 30+ tool profiles with format-specific fixes (e.g., comma-separated descriptors for Midjourney, exact hex values for Claude Code UI tasks)
  • Auto-selects from 12 prompt architectures without exposing the framework names to the user
  • Runs a “token efficiency audit” that strips non-load-bearing words
  • Includes negative prompts and constraints where relevant (image generation, code generation)
  • Installable as a Claude.ai browser skill or (less ideally) cloned into Claude Code’s skills directory

Caveats

  • The README is long on examples and short on verifiable benchmarks — no data on actual token savings or success-rate improvements
  • “Not Suggested” installation path for Claude Code hints at friction the author doesn’t detail
  • Some tool profiles (GPT-5.x, Gemini 2.x, Qwen3) reference versions that don’t exist yet or are speculative

Verdict Worth a look if you’re spending real money on API calls and suspect your prompts are half-baked. Probably overkill if you already instinctively write tight prompts or only chat with a single model casually.

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