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prompt-master

por nidhinjs · nidhinjs/prompt-master

A meta-skill that turns vague requests into tight, effective prompts for Claude, ChatGPT, Midjourney, Cursor, and 30+ other AI tools.

Prompt Master runs a 6-step pipeline on your ask: detect target tool, extract intent across 9 dimensions, clarify if needed, pick from 12 prompt templates, audit for waste, and deliver a clean copy-ready prompt. It preserves prior decisions in a Memory Block so your follow-ups don't contradict the setup.

Por que usar

Principais recursos

Demo ao vivo

Como fica na prática

prompt-master-skill.replay ▶ pronto
0/0

Instalação

Repositório do autor · Documentação oficial de Skills do Claude

Casos de uso

Usos do mundo real: prompt-master

Craft a Midjourney prompt that actually matches your mental image

👤 Designers and marketers working with image models ⏱ ~5 min beginner

Quando usar: Your first 3 Midjourney generations came back wrong and you're burning fast-hours.

Fluxo
  1. Describe what you want in plain language
    Use prompt-master. I want a hero image for a fintech landing page — serious, warm, not boring.✓ Copiado
    → Claude asks 1-2 clarifying questions about aspect ratio and style anchors
  2. Get the optimized prompt
    Yes — 16:9, inspired by Monocle magazine.✓ Copiado
    → A Midjourney-ready prompt with weights, --ar, --style, --s params

Resultado: A reusable prompt you can vary slightly for a full campaign.

Armadilhas
  • Skill over-clarifies for a simple request — Say 'skip clarification, one-shot it'

Write a tight Cursor system prompt for a recurring refactor

👤 Developers who use Cursor for codebase-wide changes ⏱ ~10 min intermediate

Quando usar: You're about to run the same refactor across 20 files and want a prompt that actually constrains the model.

Fluxo
  1. State the refactor
    prompt-master — write a Cursor prompt: convert all React class components in src/legacy to functional components with hooks, preserve prop types, no behavioral changes.✓ Copiado
    → Structured prompt with explicit constraints, negative examples, output format
  2. Test on one file first
    Apply the prompt to src/legacy/UserList.tsx and show the diff. Does it hold?✓ Copiado
    → Clean diff that matches the stated constraints

Resultado: A prompt you can paste into Cursor and trust across the full directory.

Armadilhas
  • Prompt too generic, model freelances — Ask prompt-master to add at least one concrete before/after example

Combinações

Combine com outros MCPs para 10× de alavancagem

Use prompt-master to structure the intent, then the Nano Banana skill to pick a tested image prompt pattern

Use prompt-master to nail down what I want, then hand off to nano-banana-pro-prompts for the final image prompt.✓ Copiado

Ferramentas

O que este MCP expõe

FerramentaEntradasQuando chamarCusto
Tool detection user request First stage of the pipeline 0
Intent extraction request + context After tool detection 0
Clarification missing-critical-info flags Only when success criteria unclear 0
Framework selection task type Before composition 0
Efficiency audit draft prompt Final polish step 0

Custo e limites

O que custa rodar

Cota de API
None
Tokens por chamada
1-3k per prompt optimization — small
Monetário
Free — skill is local prompts
Dica
The whole point of the skill is reducing wasted tokens downstream; the upfront cost is tiny.

Segurança

Permissões, segredos, alcance

Armazenamento de credenciais: No credentials — skill is pure prompts
Saída de dados: None

Solução de problemas

Erros comuns e correções

Skill over-asks clarifying questions

Add 'make reasonable assumptions, don't ask more than 1 question' to your request.

Output prompt is too long

Explicitly request 'efficient mode' — the audit step will strip harder.

Memory Block loses context between sessions

Memory is per-working-directory; run follow-ups from the same folder.

Alternativas

prompt-master vs. outros

AlternativaQuando usarTroca
Manual prompting with a template libraryYou already know the patterns and just need a referenceFaster for experts; prompt-master wins for non-obvious cases

Mais

Recursos

📖 Leia o README oficial no GitHub

🐙 Ver issues abertas

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