promptify
Transform user requests into detailed, precise prompts for AI models.
Skill by mkurman
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mkurman-promptify
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/promptify
What's inside
- Skill 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.
- License
- MIT
- Instructions
- 42 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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.
From mkurman/zorai, MIT.
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Signals
- Stars
- 325
- Forks
- 24
- Open issues
- 0
- Last commit (this folder)
- May 4, 2026 (5 months ago)
- Last release
- Oct 23, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mkurman/zorai
- Website
- zorai.app/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
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Cite this page
promptify skill. Agent Mart. https://agentmart.dev/skills/mkurman-promptify (last updated 2026-10-24)