promptify
💡 Summary
Promptify transforms user requests into precise prompts for AI models.
🎯 Target Audience
🤖 AI Roast: “Powerful, but the setup might scare off the impatient.”
Risk: Low. Review: outbound network access (SSRF, data egress). Run with least privilege and audit before enabling in production.
name: promptify description: Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.
Promptify
Transform user requests into detailed, precise prompts optimised for AI model consumption.
Core Task
Rewrite the user's request as a clear, specific, and complete prompt that guides an AI model to produce the desired output without ambiguity. Treat the output as specification language, not casual natural language.
Process
- Read and understand - Read the user's request carefully to understand the full context, intent, and all details
- Plan the rewrite - Consider what specific information, instructions, or context the AI model needs to fulfill the request effectively
- Rewrite as a detailed prompt - Transform the request into a precise prompt with clarity, specificity, and completeness
Writing Guidelines
Structure
- Begin with a single short paragraph summarising the overall task
- Use headings (##, ###, ####) for sections only where appropriate (no first-level title)
- Use bold, italics, bullet points (
-), and numbered lists (1., 2.) liberally for organisation - Never use emojis
- Never use
*for bullet points, always use-
Language
- Use plain, straightforward, precise language
- Avoid embellishments, niceties, or creative flourishes
- Think of language as specification/code, not natural language
- Be clear and specific in all instructions
Content
- Keep the prompt concise: 0.75X to 1.5X the length of the original request
- Do not add or invent information not present in the input
- Do not include unnecessary complexity or verbosity
Output
Provide only the final prompt as markdown, without additional commentary or explanation.
Pros
- Improves AI model interactions
- Enhances clarity in user requests
- Facilitates better output from AI
- Streamlines prompt engineering
Cons
- May oversimplify complex requests
- Requires user understanding of AI needs
- Limited to prompt transformation
- Not a full AI solution
Related Skills
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nuxt-skills
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Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author intellectronica.
