Cada plantilla es Markdown sin más. Cópiala o ábrela en el editor, rellena los {{placeholders}} y comparte tu versión con un enlace. Funcionan con ChatGPT, Claude, Gemini, Copilot y modelos de código abierto.
Plantilla de prompt estructurada
Una plantilla de uso general con rol, tarea, contexto, restricciones, formato de salida y un ejemplo. Empieza aquí con cualquier modelo.
# Prompt Title
## Role
You are an expert assistant.
## Task
Describe exactly what you want the model to do.
## Context
Add any background the model needs.
## Constraints
- Keep the answer concise
- Ask for clarification if the request is ambiguous
## Output format
Reply in Markdown with a short summary first, then the details.
## Example
Input:
Summarize the text below in three bullet points.
Output:
- First key point
- Second key point
- Third key point
Prompt de sistema para un asistente de IA
Define la identidad, los objetivos, el tono y las reglas de un asistente. Pégalo en el prompt de sistema o en las instrucciones personalizadas de ChatGPT, Claude o Gemini.
# System Prompt: {{assistant_name}}
## Identity
You are {{assistant_name}}, a helpful assistant for {{audience}}.
## Goals
- Give accurate, practical answers
- Match the user's level of expertise
- Say so plainly when you are not sure
## Tone and style
- Friendly, direct and concise
- Use short paragraphs and bullet lists
- Avoid jargon unless the user uses it first
## Rules
- Never invent facts, figures or sources
- Ask one clarifying question when a request is ambiguous
- Decline requests that are outside {{scope}}
## Output format
Start with the answer, then add steps or details if they help.
Instrucciones de proyecto para AGENTS.md y CLAUDE.md
Instrucciones de proyecto para agentes de programación con IA: comandos, estilo de código y reglas. La misma estructura sirve para los archivos de reglas de Cursor.
# AGENTS.md
Instructions for AI coding agents working in this repository.
## Project overview
{{one or two sentences about what the project does}}
## Commands
- Install dependencies: `{{install command}}`
- Run the tests: `{{test command}}`
- Run the linter: `{{lint command}}`
## Code style
- Follow the existing patterns in the file you are editing
- Keep functions small and give things clear names
- Add or update tests with every change
## Rules
- Never commit secrets or credentials
- Ask before deleting files or changing the database schema
- Summarize what you changed and why at the end of each task
Prompt de revisión de código
Obtén una lista priorizada de errores, problemas de seguridad y correcciones sugeridas en una tabla Markdown.
# Code Review Prompt
## Role
You are a senior {{language}} engineer doing a careful code review.
## Task
Review the code below and report problems in order of severity.
## Focus on
1. Bugs and edge cases
2. Security issues
3. Performance problems
4. Readability and naming
## Rules
- Quote the exact line for every issue
- Explain why it is a problem in one or two sentences
- Suggest a concrete fix as a code block
- Skip style nitpicks unless they hide a bug
## Output format
A Markdown table with the columns Severity, Line, Issue and Fix, followed by a short overall verdict.
## Code
{{paste your code here}}
Prompt de resumen
Convierte un documento largo en un resumen de una frase y cinco puntos clave sin perder nombres, cifras ni fechas.
# Summarize a Document
## Task
Summarize the text below for {{audience}}.
## Requirements
- Start with a one-sentence summary
- Follow with the five most important points as bullets
- Keep names, numbers and dates exactly as written
- Flag anything that looks uncertain or contradictory
## Length
No more than {{word_limit}} words.
## Text
"""
{{paste the text here}}
"""
Prompt de extracción de datos con salida JSON
Extrae campos estructurados de un texto no estructurado y obtén JSON válido, con null para lo que falte.
# Extract Structured Data as JSON
## Task
Read the text below and extract the fields listed in the schema.
## Schema
```json
{
"name": "string",
"company": "string or null",
"date": "YYYY-MM-DD or null",
"amount": "number or null",
"summary": "string, at most 30 words"
}
```
## Rules
- Return valid JSON only, with no extra commentary
- Use null when a field is missing from the text
- Do not guess values that are not stated
## Text
{{paste the text here}}
Prompt de clasificación few-shot
Enseña tus etiquetas al modelo con unos pocos ejemplos y clasifica mensajes nuevos de forma coherente.
# Few-Shot Classification Prompt
## Task
Classify each customer message as Praise, Complaint, Question or Other.
## Examples
Message: "The new dashboard is so much faster, thank you!"
Label: Praise
Message: "I was charged twice this month."
Label: Complaint
Message: "Can I export my data as a CSV file?"
Label: Question
## Rules
- Reply with the label only
- Pick Other when no label fits
## Message to classify
{{paste the message here}}
Prompt de generación de imágenes
Describe el sujeto, el estilo, la composición, la iluminación y la relación de aspecto para Midjourney, Stable Diffusion y otros modelos de imagen.
# Image Generation Prompt
## Subject
{{main subject, for example a lighthouse on a rocky coast}}
## Style
{{art style, for example watercolor with soft pastel colors}}
## Composition
- Camera angle: {{wide shot, close-up or aerial view}}
- Lighting: {{golden hour, studio light or overcast}}
- Mood: {{calm, dramatic or playful}}
## Details to include
- {{first detail}}
- {{second detail}}
## Avoid
- Text or watermarks in the image
- Distorted hands or faces
## Aspect ratio
{{16:9, 1:1 or 9:16}}