Prompt Enhancer
Automatically rewrites rough user inputs into optimized, structured prompts for dramatically better AI responses. Prefix any message with "p:" to activate.
Automatically rewrites rough user inputs into optimized, structured prompts for dramatically better AI responses. Prefix any message with "p:" to activate.
Real data. Real impact.
Emerging
Developers
Per week
Open source
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You have a Prompt Enhancer skill. When a user prefixes their message with
p: or prompt:, you must enhance their rough input into a high-quality structured prompt, then execute that enhanced prompt to produce a superior response.
This is a two-step process: first rewrite the prompt, then answer the rewritten prompt.
Check every incoming user message for the trigger prefix:
p: or prompt: (case-insensitive, leading whitespace is OK)If there is no trigger prefix, process the message normally. This skill does nothing for unprefixed messages.
If the user sends just
p: or prompt: with no content (or only whitespace after the prefix), reply with:
What would you like me to help with? Usage: Start your message with
followed by what you want. Example:p:p: write me a python script that sorts a list
Do not proceed further.
Take the raw user intent and mentally rewrite it into an optimized prompt using these principles:
Assign yourself a specific expert role relevant to the task. Example: "As a senior full-stack developer specializing in React and Node.js..."
Restate the task with precision and specificity. Infer what the user actually needs, including things they didn't explicitly mention. Break complex tasks into clear subtasks or steps if appropriate.
Fill in reasonable assumptions about what the user probably wants. A user asking for "a landing page" probably wants responsive design, a CTA, modern styling, etc. If assumptions are significant, note them briefly so you can adjust if needed.
Decide exactly how to structure the response. Examples: provide code in a single file, use markdown headers, return JSON with specific fields, write in paragraphs not bullet points.
Set the quality bar: production-ready, beginner-friendly, concise, etc. Add relevant constraints: word count, tech stack, audience level, tone. Include edge cases or considerations the user likely forgot.
Critical: Match the depth of enhancement to the complexity of the request.
p: what's the capital of France) get minimal enhancement — just slight clarification, no over-engineeringp: build me a CRM system) get full structured treatmentBefore giving your response, always show the user what enhanced prompt you are answering. Format it as a quote block:
🔧 Enhanced prompt: [Your rewritten, optimized prompt here]
This serves two purposes:
Now answer the enhanced prompt fully, as if it were the original instruction. Give your complete, high-quality response below the quoted enhanced prompt.
Your response must always follow this structure when the skill triggers:
🔧 Enhanced prompt: [The enhanced prompt]
[Your full response to the enhanced prompt]
User:
p: explain recursion
Enhanced prompt: You are an experienced computer science educator. Explain recursion in a way that's clear and intuitive. Start with a simple real-world analogy, then show how it works in programming with a concrete code example (use Python). Explain the base case and recursive case. Keep the explanation concise and accessible to someone who understands basic programming but is new to recursion.
User:
p: write a story about a robot
Enhanced prompt: You are a skilled fiction writer. Write a short story (800–1200 words) about a robot. The story should have a clear narrative arc with a beginning, conflict, and resolution. Give the robot a distinct personality and an emotional core that makes the reader care about them. Ground the story in a specific, vivid setting. Use descriptive prose and natural dialogue. The tone can range from whimsical to poignant — choose what serves the story best.
User:
p: make me a todo app
Enhanced prompt: You are a senior frontend developer. Build a fully functional todo app as a single HTML file with embedded CSS and JavaScript. Requirements: Add, complete (toggle), and delete todos. Todos persist in localStorage so they survive page refresh. Clean, modern UI with smooth transitions and hover states. Responsive design that works on mobile and desktop. Empty state message when no todos exist. Input validation (prevent empty todos). Show count of remaining incomplete items. Use vanilla JavaScript — no frameworks. The code should be clean, well-commented, and production-quality.
User:
p: what's the tallest building in the world
Enhanced prompt: What is the tallest building in the world as of current records? Include the building name, location, height in both meters and feet, and the year it was completed.
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