Education Career Planner
Your profile →data-driven major/school/career
Education Career Planner
Your profile →data-driven major/school/career
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Description
Picking a college major based on "this feels right," choosing a grad school direction based on "a senior said it's okay," or switching careers based on "it seems popular"—only to find out later that the major has the lowest employment rate, the industry is in decline, and the skills you learned can already be done by AI. Throw in your scores, background, and interests, and it speaks with data—entry barriers, median salary, career ceiling after five years, and whether this industry will be replaced by AI. It's not about telling you what to do; it's about helping you see the data for each path and make your own choice. ✨ Core Capabilities 1. Multi-stage adaptation: College entrance exams / Grad school / Study abroad / Career change / Career planning—different analytical frameworks for different stages. 2. Data-driven: Entry barriers + median salary + 3-5 year growth + industry ceiling—no adjectives. 3. Path comparison: At least 3 viable paths, each fully broken down by barriers, prospects, and risks. 4. Pitfall warnings: The most common choice traps—majors that sound good but have poor employability, industries on the decline. 5. Actionable first step: No "think about it more"—gives you a concrete action you can start today. 📱 Suitable Scenarios - High school students / parents filling out college applications: What can my score get me? Which majors lead to good jobs after graduation? - College students considering grad school or jobs: What's the outlook for my major? Should I change direction? - Professionals changing careers: Is it worth switching tracks at 30? Where's the door? - Parents planning for their children: Replace "I think this major is good" with data. ⚠️ Disclaimer: Analysis is based on public information and is not the sole basis for decisions. Policies, markets, and personal circumstances may change.
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Gaokao Application Expert
An AI volunteer planning expert who understands 'college-major groups', tells the truth, and uses data to speak. Why do you need this skill? After the new Gaokao reform, the 'college-major group' model has made application exponentially harder: 😱 A slight misstep in subject selection can disqualify you from your desired major 😰 One 'pitfall' major in a group, and agreeing to adjustment gets you trapped 😨 Incorrect rank conversion leads to wasted high scores or missed opportunities 😵 Information asymmetry leaves well-meaning parents giving bad advice This skill is designed to solve these pain points. #What it can do? 🎯 **Subject Combination Validation**: Instantly identify forbidden major risks for combinations like 'Physics, Geography, Biology without Chemistry' 📊 **Rank Anchoring**: Use equivalent rank as anchor, verify real-time admission data online 🚦 **Safe, Stable, Reach Gradients**: Scientifically allocate 15% reach + 60% stable + 25% safe plan ✅ **Green-List Major Labeling**: Powered by the latest MyCOS employment blue book data 🚀 **Strategic Track Tracking**: New ministry-added majors like AI, integrated circuits, low-altitude economy 🎓 **Graduate Admission Rate Transparency**: Clearly present graduate admission rate for each university (with source year) ⚠️ **Adjustment Risk Warning**: 🟢🟡🔴 Three-color visualization of 'pitfall' risk within a group ## Who uses it? ✔️ Students from all Gaokao provinces ✔️ Rational parents who don't want their children in 'pitfall' majors ✔️ Potential candidates balancing graduate admission rate and employment ✔️ Ordinary families overwhelmed by information and in need of professional advice ## Its spirit Combines **Zhang Xuefeng-style sharp frankness** + **MyCOS employment data rigor** + **Latest Ministry of Education policies authority**, to be your personal volunteer planning consultant who 'dares to tell the truth and gives real solutions'. **Input 5 key pieces of info, get a customized safe-stable-reach plan in 30 seconds.** Start now → Make sliding, pitfalls, and adjustment a thing of the past.
Gaokao Application Advisor v2.0
🎯 Core Features ✅ Smart selection of eligible colleges and majors: Automatically filter the best schools and major pools based on your scores, ranking, and provincial policies, avoiding blind selections. ✅ Accurate admission probability calculation: Based on 3 years of historical admission data, calculate admission probability for each choice (85% safety, 30% reach...), saying goodbye to "gut-feeling applications". ✅ Generate structured "reach, moderate, safety" plans: Based on your risk preference (conservative/balanced/aggressive), automatically allocate proportions and output a complete application table (simulating real application format). ✅ Provide risk audit and Plan B: Identify sliding risk, adjustment traps, major misconceptions, and prepare contingency plans for worst-case scenarios (e.g., how to change majors after adjustment, how to remedy if you slide). 📱 How to Use Super easy to start: Simply provide your Gaokao score, province, subject combination, and ranking. The system will automatically guide you through priority ranking and risk preference selection, then step by step generate a complete plan. Fully interactive: Instead of dumping a bunch of information at once, it proceeds in 6 phases (information collection → feasible domain analysis → plan generation → risk audit → Plan B → final delivery). At each phase, it pauses for your confirmation and allows adjustments anytime. ✨ Why Choose This Skill? - ✅ V2.0 version, refined through 5 rounds of professional audits and real testing - ✅ Based on AFP super prompt architecture, with rigorous logic, real data, and controllable risk - ✅ Applicable to all 31 provinces, automatically adapts to each province's application policies (parallel application, major group mode, etc.) - ✅ All admission data is queried online in real time, never fabricated, ensuring accurate recommendations 💡 Who Is It For? - 📚 Gaokao candidates: Those who don't know how to fill out applications and need professional guidance - 👨👩👧 Parents of candidates: Want to help their children but are unfamiliar with application rules - 🎓 Education consultants: Need efficient tools to assist in batch plan generation ⚠️ Important Tips - The plans generated by this skill are for reference only. Final applications should be based on official data. - It is recommended to regenerate the latest plan one week before the official application (data updates). - When filling out, please double-check college and major codes to avoid errors. Wishing you success in your Gaokao! 🎓
Career Monetization Planner
Career Monetization Planner is an AI skill that helps everyday professionals rediscover their career value and find paths to greater income. Many people have worked for 5, 10, or more years but only know that they “can do their current job.” They may not realize that their industry experience, professional skills, project experience, and problem-solving methods can be turned into higher-paying roles, side businesses, consulting, training, freelancing, or digital products. You only need to share your career experience, what you’re good at, your current income, and your goals—or paste your résumé directly. The Skill will guide you through a career profile, an inventory of hidden high-value skills, an analysis of additional income opportunities, ways to turn your experience into products, higher-paying role analysis, AI side-business ideas, and a 90-day action plan. Each direction considers startup costs, time commitment, difficulty, income potential, and practical feasibility—not simply a list of dozens of “ways to make money.” It’s especially suited to people with some work experience who are considering a raise, job change, side business, second income stream, or monetizing their professional experience. Whether you work in research and development, product, operations, sales, design, education, medicine, engineering, or management, you can start from the skills you’ve already built and find more valuable paths to income. You may not need to learn an entirely new skill. You may simply not have seen the value you already have.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
