promptify
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.
Best use case
promptify is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using promptify should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/promptify/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How promptify Compares
| Feature / Agent | promptify | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 1. **Read and understand** - Read the user's request carefully to understand the full context, intent, and all details 2. **Plan the rewrite** - Consider what specific information, instructions, or context the AI model needs to fulfill the request effectively 3. **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.
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## Purpose