Token Actuary
Max info density, top quality, no depth loss
Description
Have you ever calculated how much you pay each month for AI's "fluff"? "Okay, let me help you..." "First, let's review your question..." "In summary, here's what we covered..." You don't even glance at these, but every word eats your tokens. 💸 I built a Skill called "Token Actuary" to fix this: ✅ Automatically identifies task type and applies token-saving strategies ✅ Cuts redundancy without cutting depth—quality stays 100% ✅ Generates an itemized bill: "This time saved 40%+", clear and transparent For heavy AI users, install it once and save the cost of a few bubble teas. A fact most overlook: a significant portion of what you pay for AI isn't for the "answer" — it's for "process language": opening pleasantries, restating the question, transitional filler, closing summaries. These add no value, but every token costs you. I've packaged the entire methodology of information density optimization into a Skill: "Token Actuary". Its logic is straightforward: after identifying the task type, it automatically matches token-saving strategies, executes tasks with maximum information density, eliminates all redundancy, and enforces strict quality constraints so output doesn't degrade. After completion, it auto-generates a token breakdown report showing consumption per stage, savings vs. standard mode, and future optimization tips. Supports both launch-time activation and mid-task takeover—no configuration needed. If you're a heavy AI user—writer, researcher, bulk content creator, or pay-per-token API user—this Skill is essentially a "money-saving machine": install once, and every conversation compresses your costs. It's now available on the YouMind Skill Market. Search for "Token Actuary" to install.
Related Skills
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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.
AI Handoff
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.
AI Prompt Optimization Expert
The AI Prompt Optimization Expert focuses on improving prompt quality through a systematic framework, helping you convey your intent precisely and making AI output more stable and predictable. Whether you need to refine existing prompts, build complex task descriptions from scratch, or find professional templates for specific scenarios, this skill provides comprehensive support. It can not only restructure vague requests into structured prompts, but also identify and fix common logical flaws through a diagnostic process. The skill includes a variety of proven optimization frameworks and can flexibly switch strategies based on the nature of the task. For example, for formal documents and professional content, it strengthens the background and audience dimensions; while for code generation or data processing tasks, it focuses more on role definition and specific constraints. In this way, it ensures every prompt has a clear goal, a defined style, and a well-structured output format. In addition, it covers specialized templates for a wide range of high-frequency scenarios, from copywriting and data analysis to technical documentation. You can directly use these proven structures and quickly fill in key details such as core selling points, data descriptions, or reader background. During optimization, the skill also checks against a quality checklist and uses multiple iterations and side-by-side comparisons to help you master essential prompt engineering techniques, significantly reducing communication costs and boosting productivity.
Token Actuary
Max info density, top quality, no depth loss
Description
Have you ever calculated how much you pay each month for AI's "fluff"? "Okay, let me help you..." "First, let's review your question..." "In summary, here's what we covered..." You don't even glance at these, but every word eats your tokens. 💸 I built a Skill called "Token Actuary" to fix this: ✅ Automatically identifies task type and applies token-saving strategies ✅ Cuts redundancy without cutting depth—quality stays 100% ✅ Generates an itemized bill: "This time saved 40%+", clear and transparent For heavy AI users, install it once and save the cost of a few bubble teas. A fact most overlook: a significant portion of what you pay for AI isn't for the "answer" — it's for "process language": opening pleasantries, restating the question, transitional filler, closing summaries. These add no value, but every token costs you. I've packaged the entire methodology of information density optimization into a Skill: "Token Actuary". Its logic is straightforward: after identifying the task type, it automatically matches token-saving strategies, executes tasks with maximum information density, eliminates all redundancy, and enforces strict quality constraints so output doesn't degrade. After completion, it auto-generates a token breakdown report showing consumption per stage, savings vs. standard mode, and future optimization tips. Supports both launch-time activation and mid-task takeover—no configuration needed. If you're a heavy AI user—writer, researcher, bulk content creator, or pay-per-token API user—this Skill is essentially a "money-saving machine": install once, and every conversation compresses your costs. It's now available on the YouMind Skill Market. Search for "Token Actuary" to install.
Related Skills
View allAI 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.
AI Handoff
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.
AI Prompt Optimization Expert
The AI Prompt Optimization Expert focuses on improving prompt quality through a systematic framework, helping you convey your intent precisely and making AI output more stable and predictable. Whether you need to refine existing prompts, build complex task descriptions from scratch, or find professional templates for specific scenarios, this skill provides comprehensive support. It can not only restructure vague requests into structured prompts, but also identify and fix common logical flaws through a diagnostic process. The skill includes a variety of proven optimization frameworks and can flexibly switch strategies based on the nature of the task. For example, for formal documents and professional content, it strengthens the background and audience dimensions; while for code generation or data processing tasks, it focuses more on role definition and specific constraints. In this way, it ensures every prompt has a clear goal, a defined style, and a well-structured output format. In addition, it covers specialized templates for a wide range of high-frequency scenarios, from copywriting and data analysis to technical documentation. You can directly use these proven structures and quickly fill in key details such as core selling points, data descriptions, or reader background. During optimization, the skill also checks against a quality checklist and uses multiple iterations and side-by-side comparisons to help you master essential prompt engineering techniques, significantly reducing communication costs and boosting productivity.
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