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Your credits should go toward judgment, while external AI handles the heavy lifting. In YouMind, this Skill packages an in-progress content task into a ready-to-copy handoff brief that you can give to external AI tools such as ChatGPT, Claude, Gemini, and Cursor to handle the most credit-intensive work, including expansion, rewriting, batch organization, and drafting. Then bring the results back to the Board for review and archiving, completing the full loop: “package and hand off → external execution → retrieve and review.” It automatically recognizes three entry points: Direction A, “Outsource to save credits”—package your source materials and output specifications so external AI can handle token-intensive work; Direction B, “Relay and deepen”—send YouMind’s existing work, along with its versions, decisions, and do-not-change list, to continue refining it; and “Retrieve and review”—when the results return, save them as a new version while preserving the original, spot-check them against the return contract and review checklist, and produce a review report without rereading the entire piece. It includes a four-category fact-boundary system and direction-specific return contracts to prevent external AI from fabricating facts or changing finalized content without authorization. Say “package and hand off,” “outsource to save credits,” “give this to another AI to do/continue,” “switch AI and continue,” “the results are back—help me review them,” or “take this in” to trigger it.
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Mero — AI Memory Manager
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AI Prompt Architect MAX
Have you ever had moments like these— You ask AI to write a weekly report, and it gives you a childish play-by-play; you ask it to revise a résumé, and it serves up “teamwork, diligence, and a strong sense of responsibility”; you ask it to analyze data, and it starts with, “As an AI, I’m happy to help you…” It’s not that AI is incapable—the problem is that your instructions are too amateurish. There are already plenty of Prompt templates teaching you how to write Prompts. But even after using them, you still can’t write your own—because what you’re missing isn’t a template. It’s the ability to compile requirements. This SKILL is my Prompt compiler: a condensed version of the Prompt architecture methodology I use every day as an AI OPC—someone working on the front lines of AI implementation—to write Prompts for teams. You explain what you need in plain language, and it gives you a top-tier architecture. Input: “Help me write a monthly report” Output: a complete eight-module Prompt architecture—role, task, audience, process, constraints, format, self-check, and examples, all locked in. Copy and paste it into ChatGPT / Claude / DeepSeek / Kimi, and the first output will be ready to use. Even better, it will tell you: ✓ Which model is best for this Prompt ✓ Which variables you can change directly next time (learn once, reuse repeatedly) ✓ Which one missing piece of information could take the output to the next level How is it different from an ordinary Prompt template SKILL? Other SKILLs give you a fish—one finished Prompt. This SKILL gives you a compiler—the ability to compile any requirement into a Prompt. Install it once, and every AI use case you have will improve—writing, reporting, analysis, translation, customer service, content creation, and more. Who should install it: People who use AI every day but are never satisfied with the output People who want to learn Prompt engineering without spending thousands on a course Team leaders who want to standardize AI use but don’t know where to start Content creators, researchers, students, job seekers, and side-hustle builders How well you use AI doesn’t depend on which model you choose. It depends on whether you can compile your requirements. Install it today, and the quality of your conversations with AI will take a dramatic leap forward.
Information
- Version
- v10
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
