Model Routing & Token Saver
Choose models and keep project context
Description
Based on task difficulty, content type, and project stage, it helps you choose a more suitable AI model and apply quota-saving rules to AI to reduce token usage. While keeping quota consumption under control, it supports programming, creative work, planning, design, and information analysis. Whether you need page components, API integrations, simple bug fixes, architecture design, complex logic, code reviews, or refactoring, it provides clear model recommendations and directly delivers the requested results. It is also well suited to everyday copywriting, titles and hooks, story-driven content, brand proposals, marketing plans, PPT outlines, visual concepts, market trends, competitor analysis, and data interpretation. Simple, batch, and formatting tasks are prioritized for greater quota efficiency. For major decisions, complex reasoning, or final polishing, it reminds you to invest in a more suitable model for quality. With continued use, it adjusts its recommendations based on your model preferences, output habits, project tech stack, key decisions, pending tasks, and known issues, reducing repetitive communication. For coding tasks, it focuses by default on the core changes and summarizes what was modified. For copywriting and proposal tasks, it first organizes the overall framework and then expands it as needed, making each conversation better aligned with your current project and working rhythm.
Related Skills
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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
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.
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.
Model Routing & Token Saver
Choose models and keep project context
Description
Based on task difficulty, content type, and project stage, it helps you choose a more suitable AI model and apply quota-saving rules to AI to reduce token usage. While keeping quota consumption under control, it supports programming, creative work, planning, design, and information analysis. Whether you need page components, API integrations, simple bug fixes, architecture design, complex logic, code reviews, or refactoring, it provides clear model recommendations and directly delivers the requested results. It is also well suited to everyday copywriting, titles and hooks, story-driven content, brand proposals, marketing plans, PPT outlines, visual concepts, market trends, competitor analysis, and data interpretation. Simple, batch, and formatting tasks are prioritized for greater quota efficiency. For major decisions, complex reasoning, or final polishing, it reminds you to invest in a more suitable model for quality. With continued use, it adjusts its recommendations based on your model preferences, output habits, project tech stack, key decisions, pending tasks, and known issues, reducing repetitive communication. For coding tasks, it focuses by default on the core changes and summarizes what was modified. For copywriting and proposal tasks, it first organizes the overall framework and then expands it as needed, making each conversation better aligned with your current project and working rhythm.
Related Skills
View allAI 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
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.
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.
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