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This is a complete proposal generator for rewriting National Social Science Fund of China (NSFC) grant applications into Ministry of Education humanities and social sciences project applications. Based on five key differences diagnosis → direction matching → topic selection → literature review → innovation points → key difficulties → methodology → achievements → B-table prompts, it progressively generates a revised proposal. v2 upgrade: full-process click-based interaction, progress tracking, and incremental document editing.

Enter the course name and key knowledge points to automatically generate a complete ideological and political education solution for new engineering courses, directly applicable to lesson plans, PPTs, and classroom lectures. It is suitable for professional courses such as intelligent manufacturing, intelligent materials, mechanical engineering, automation, computer science, artificial intelligence, electrical control, and materials science. It supports outputting explanations of knowledge points, ideological and political education entry points, connections to national strategies, case materials, a chain of classroom questions, teacher lecture scripts, student activities, and a three-dimensional evaluation method. Before using it officially, you can try the free version of the "New Engineering Course Ideological and Political Education Inspiration Generator." This tool was designed by an associate professor from the School of Marxism at an engineering university, based on practical experience guiding engineering colleges in carrying out ideological and political education in their courses, emphasizing the natural integration of professional knowledge and value guidance.

By reinterpreting ancient stories from a humanistic perspective and historical context, we can identify flaws in authoritative interpretations and restore a more authentic picture of humanity and history.

A full-stage Douyin operations coach, from account positioning to monetization, combining the latest platform rules with intelligent analysis of user status to provide customized content strategies, traffic tactics, and monetization paths.

This is a full-process engine for converting novel text into professional storyboard comics/panel comics → video. It integrates a dual-track style library of 14 ancient Chinese styles and 8 modern styles, solves cross-image character consistency issues by locking in character design images, supports novel-specific scene processing such as chapter slicing, dialogue bubbles, and action storyboards, and outputs standardized Prompts that can be directly delivered to AI drawing tools. The basic version focuses on comic book storyboards, while the PRO version enhances video conversion capabilities. Input a short story, and I output: ✓ Slicing options (short story/single chapter/long chapter/full book - your choice) ✓ Character design images (define the characters' appearance first, then reuse them in each frame) ✓ 10-panel storyboard (scene size, emotion, text placement - all designed) ✓ Dual-track style library: 14 ancient styles (Luoshen Fu Tu/A Thousand Miles of Rivers and Mountains/Shi Tao's Ink Splashing...) + 8 modern styles (Makoto Shinkai/Cyberpunk/American Comics/Korean Comics) ✓ Novel-specific syntax: Dialogue → speech bubbles, Psychology → jagged borders, Action → speed lines ✓ Frame-by-frame AI drawing Prompt (Chinese and English bilingual, copy and paste directly) ✓ PRO version = comic strip + video storyboard + background music + editing script Give me a short story and I output a complete solution (slices + characters + storyboard + Prompt) You copy it to Doubao/Keling/Jimeng, first generate character images for confirmation, then generate scenes

Transform ancient Chinese poems/texts into AI-generated comic strip storyboards. Deep text analysis → storyboard design → character selection → frame-by-frame prompt generation. Supports 14 ancient painting styles (such as *The Goddess of the Luo River*, *A Thousand Miles of Rivers and Mountains*, and *Dwelling in the Fuchun Mountains*), 7 layout schemes, and mandatory reuse of visual anchor points to ensure character consistency. An optional PRO version outputs a dynamic video script and editing scheme. Input a piece of ancient text, and we output: ✓ Character design (determine the characters' appearance first, reused in each frame) ✓ 8-frame storyboard (shot size, emotion, text position—all designed) ✓ Frame-by-frame AI drawing prompt (bilingual in Chinese and English, copy and paste directly) ✓ 14 ancient painting styles (*The Goddess of the Luo River*, *A Thousand Miles of Rivers and Mountains*, *Dwelling in the Fuchun Mountains*, etc., all verifiable) ✓ Compositing scheme (open-page/long scroll/strip—telling a story like turning the pages of a book) ✓ PRO version = comic strip + video storyboard + background music + editing script

Top Journal Submission Pre-screening Expert V6.0 is a pre-screening skill for the entire submission process for social science and humanities scholars. It simulates the perspective of senior reviewers from Nature/Science/ASR/AJS-level journals, driven by a dual-core adversarial engine (reviewer killer + polishing craftsman) that operates collaboratively across five phases. Key features include: • Six virtual reviewer profiles (methodological hawk, theoretical fundamentalist, situationalist, ethics reviewer, etc.), automatically activating 3-4 profiles based on research type. • Full language support: Chinese → English / English → English / Chinese → Chinese, with a Chinglish terminator engine covering 7 high-frequency error types. • 15 quick commands (/express /jump /benchmark /ethics-scan, etc.). • Five-dimensional comparison of benchmark papers + downgrade path without benchmarks. • Automatic generation of review memos, with cross-phase vulnerability tracking. Applicable scenarios: self-checking by social science doctoral students/young teachers before submission, mentor guidance for student revisions, and discussion of submission strategies within research groups. Supports full-process guidance for native Chinese speakers submitting in English.

A full-process research proposal writing assistant—from topic selection and conception, literature review, research framework to final draft polishing, it is suitable for various types of research projects, including those funded by the National Social Science Fund of China, the National Natural Science Foundation of China, the Ministry of Education's Humanities and Social Sciences, and provincial and ministerial-level projects, supporting both one-step and step-by-step approaches.

The most expensive thing in a bull market isn't stocks, it's not knowing what to buy. This isn't anxiety selling. This is a lesson the A-share market taught all retail investors in the first half of 2026. Chip stocks rose 50%, and you were holding cash. Energy storage stocks went through three waves, and you were still scrolling through posts on Xueqiu (a Chinese investment platform). Stocks in the Changxin industry chain have doubled, and you can't even say how many upstream material stocks there are. You're not lacking courage, you lack a clear strategy. You buy based on news, sell based on intuition, and filter based on "I heard XX is doing well recently." This approach might work in a volatile market, but in a structural bull market, you'll just watch others make money while you don't even get a taste. What is a "High-Elasticity Growth Stock Hunter"? It's a stock selection skill that automatically filters out high-elasticity candidates in the A-share market by inputting keywords related to the sector. The core is a three-layer filter: The first layer is financial analysis to eliminate purely speculative stocks. Only stocks with strong performance indicators such as revenue growth, gross profit margin, and R&D investment are considered for the next round. Speculative stocks, junk stocks, and stocks that promise easy gains are excluded. The second layer, technical analysis, focuses solely on volume and price structure. Only stocks breaking out with increased volume at the bottom are kept; those with high-volume bearish candles at high levels are immediately rejected. Avoid chasing highs and becoming suckers. The third layer, industry logic, is the most rigorous. Targets must be at key nodes in the industry chain—either upstream suppliers or indispensable midstream players. Downstream assembly plants, pure distributors, and companies undergoing transformation based on narratives are excluded. After all three layers, the result isn't just "recommended stocks," but a candidate pool with the rationale behind their selection. For each selected stock, you can see: why it's there, what the logic is, and where the risks lie. Who needs this? If you fit any of the following descriptions: • You know a certain sector is about to take off, but don't know which stock to buy. • You're more confused after reading three research reports because each recommends different stocks. • You've bought chips, new energy, and innovative drugs, but bought at the peak of each wave. • Your account is full of stocks "recommended by friends" and "recommended by influential figures," none of which you chose yourself. • You believe there are still opportunities in the A-share market, but you need a logic you can understand and reuse, not just code someone else feeds you next time. Then this skill is made for you. Why this price? 1999 credits, not cheap. But do the math: If you chase the high once, you'll lose more than this. If you miss a sure-fire opportunity, you'll miss out on more than this. If you spend three hours reading all the research reports, that's more time-consuming than that. This skill doesn't give you a single stock; it gives you a reusable hunting framework. Use it once to break even, use it ten times and you'll start to develop your judgment. Finally, a truthful statement: bull markets don't wait for anyone. But bull markets don't reward impulsiveness either. It rewards those who correctly identify the direction, choose the right targets, and maintain a steady pace. The "High-Elasticity Growth Stock Hunter" doesn't guarantee you'll win every time—nothing is guaranteed. But it guarantees that next time you make a move, you'll have a map in hand, logic in your eyes, and composure in your heart. Ready to enter the game? Let the hunter lead you into the forest.

When inspiration runs dry, let a thousand-year-old ethnic craft paint a stroke for you. 🎭 Intelligent detection of your vague intuition—A word, an emotion, or even just "browsing around" can match you with the right Chinese ethnic intangible cultural heritage (Tibetan, Mongolian, Miao, Yi, Zhuang, Dong, Tujia, Dai, Qiang, Uyghur…) 🔍 In-depth exploration of ethnic visual genes—Online search for authentic intangible cultural heritage materials, extracting pattern characteristics, color systems, and craftsmanship textures, along with cultural origin tracing, ensuring designs don't become mere superficial symbol stacking 🎨 Four-dimensional translation of traditional aesthetics—Minimalist abstraction/deconstruction and reconstruction/material translation/modern color schemes, translating millennia-old craftsmanship into contemporary design language 🖼️ Parallel output of multi-form visual solutions—Patterns/Illustrations/Posters/Color mood boards/Cultural and creative concepts, at least 3 visual forms each time, ensuring diverse inspiration 📦 Complete inspiration board package delivery—Each visual solution includes cultural annotations (where it comes from, how it was transformed, and where it's used), which can be directly shared with the team or archived for reuse. How to use it? Once opened, simply say "Give me inspiration" or enter a keyword (such as "Dragon," "Tranquility," or "Miao ethnic group"), and follow the 5-step rhythm—you can go back and change direction at each step. Several designers have already turned China's ethnic intangible cultural heritage into their own rich source of inspiration.

😤 Do you ever feel this way—you spend an hour scrolling through viral articles, saving seven or eight, feeling like you've "learned something"? But when you sit down to think about a topic—your mind goes blank. Hundreds of articles in your saved list, but not a single one becomes your own content. You don't lack material; you lack a method to "extract your own topics from other people's viral articles." 🔍 What's the problem?—Every viral article with over 100,000 views contains several viewpoints that "most people agree with, but are actually untenable." Most people read it and move on. A few people pick out these viewpoints, think about them from a different perspective—and a new topic emerges. The difference lies in this one "deconstruction" action. 🛠️ How does it help you?—📥 Just send in a link to a viral article🔬 It automatically scans the entire text, picking out the "soundingly correct, but the conditions for validity have been quietly eroded" common consensus❓ It asks three key questions for each point: ① Under what circumstances is it invalid? ② What does it oversimplify? ③ From which scenario did it smuggle itself in? 🔄 Reversed into 3-7 counterintuitive topic ideas 📊 Each with complete output: ✅ Argumentation path—Why this topic is valid ✅ Audience emotional anchor—Who is it written for, and how to resonate with them ✅ Risk boundaries—Where is it easy to go astray? ✅ 5-dimensional viral score—How powerful a topic is isn't just giving you a bunch of directions to think of yourself, but giving you topics you can start writing about immediately. ✍️ 🚀 Give it a try—Search "Dissecting Viral Articles and Creating Topic Ideas" on YouMind to find it. After opening it, post a link to a viral article you recently saw, and it will guide you step-by-step to analyze the topic. 🗂️ Supports in-depth analysis of single articles + batch filtering 📎 Opinion articles, experience sharing, tutorial lists—no article type restrictions.

Based on the novel's title, author, style, character settings, and layout preferences, use an image generation tool to directly generate high-quality, trending novel covers with text in one step.

A novel chapter writing and review system. Two modes: write a first draft from a detailed outline / provide layered diagnosis and demonstration rewriting of existing manuscripts. Covers eight techniques including iceberg-like blank spaces, conveying emotion through details, using empty scenes to conclude emotions, MRU scene arrangement, two-dimensional rhythm diagnosis, hook-like pacing, and special scene arrangement. Distinguish between hard guidelines and aesthetic suggestions, providing specific alternative writing methods for each. Suitable for any novelist who wants to make their writing more vivid and evocative.

Create an unforgettable surprise for your child's special birthday! This skill, designed for parents, helps you easily customize personalized, high-end birthday posters or invitations. Whether you want to create a precious memory for your newborn or a stylish celebration for your growing child, we can meet your needs. Simply provide your child's name, age, and gender, and we'll automatically generate high-quality AI image-generating prompts based on this information, combined with eight unique styles (such as luxurious studio, dreamy princess, minimalist sophistication, or cyberpunk futurism). These prompts can be directly used with mainstream AI painting tools such as Midjourney, DALL-E, and Stable Diffusion, allowing you to easily achieve professional-grade visual effects. We'll also intelligently adjust color schemes, clothing, and decorative elements based on your child's specific age and gender, ensuring that every design is both playful and stylish. You can also upload a reference photo of your child, and we'll combine it with the generated prompts to create a unique birthday poster for you. Let this lovingly customized poster become the brightest spot at your child's birthday party, capturing that beautiful moment.

Meta-skill: Generates a unique ancient-style poster prompt for any skill pack. It integrates the visual grammar of ancient Chinese painting (7 styles) with poster design frameworks (three-second rule/information hierarchy/color emotion/composition formula/font and sound/ambition of white space), outputting a bilingual (Chinese and English) prompt. Supports both traditional ancient painting style and a style that shares the same artistic essence.

University students' use of internet memes requires more than just management; it needs guidance. University students aren't unfamiliar with memes; they often use them to express attitudes, pressure, banter, questioning, and social group identity. The problem lies in the fact that some internet memes excessively trivialize serious discussions, some mask real pressures, and some may involve offensive expressions based on gender, region, appearance, illness, or class. University teachers cannot simply "ban" these memes; they need to transform online language into a gateway for classroom discussion, value analysis, and expression training. This skill is aimed at university teachers of ideological and political education, counselors, class advisors, public course teachers, general education course teachers, career guidance teachers, and student affairs workers. This skill integrates university classroom teaching experience, observations of youth online culture, and real-world educational communication practices. It doesn't simply view university students' use of memes as a "classroom problem," but rather helps teachers understand the emotions, attitudes, and value orientations behind them, and transform them into more educational classroom resources.

‼️ Have you ever felt this way—you prepare a lesson for three hours, create a beautiful PPT, and deliver a fluent lecture, but afterwards, there's always an inexplicable emptiness: Did the students really learn anything? This isn't because you didn't try hard enough. It's because you've fallen into the most hidden trap in higher education: mistaking "completing the content" for "completing the teaching." Why does the more effort you put into lesson preparation sometimes lead to worse results? Most teachers prepare lessons in this order: Open the textbook → Organize the knowledge points → Make the PPT → Think about what examples to use → This order has a fatal problem: Your starting point is "What do I want to teach?", not "What can students do after class?" This leads to three typical failures: Symptoms Root Cause The objective is "understand/master," but the exam requires analysis and application. Misalignment between objective level and assessment Classroom activities are lively, but unrelated to assessment Activities are disconnected from objectives Starting from scratch every time you prepare, becoming increasingly tiring. Lack of a reusable design framework These three problems can be solved with an AI Skill. What is the "Lesson Preparation Technique"? This is an AI-powered lesson plan design skill specifically designed for university teachers. Its underlying logic can be summarized in one sentence: First, figure out what students should be able to do, then work backward to determine what to teach, how to teach it, and how to assess it. This is the reverse design principle in education, validated over decades—and now it's packaged into a tool you can use with just a few words. How simple is it to use? You only need to tell it three things: I will be teaching Fourier transform in "Signals and Systems" next week. The students are third-year students, it's a two-period class, 80 minutes long. This is a required course for science and engineering students, and they have previously studied calculus. It will automatically generate the following for you: ① Measurable tiered learning objectives are no longer "understanding Fourier transform," but rather: Memory layer: able to write the standard definition of Fourier transform; Understanding layer: able to explain the meaning of the frequency domain to time domain conversion; Application layer: able to independently perform transform calculations for a given signal; Analysis layer: able to judge the physical meaning of the transform result and troubleshoot errors. ② Classroom activities precisely aligned with the objectives are designed and automatically allocated according to a 40/80 minute class rhythm: Introductory activity (activating prior knowledge); New knowledge instruction segment (cognitive load control); Participation segment (every 20 minutes, to prevent distraction); Emergency interaction plan (3 backup strategies if students are silent). ③ Accompanying assessment toolkit: In-class test questions (corresponding to the objective level); Formative assessment design suggestions; Final assessment points hints. A quick glance at an alignment checklist 30 seconds before class—check if the objectives, activities, and assessments form a triangular closure.

"How do you transform criticism into feedback that students are willing to listen to, accept, and can actually use?" This is a question every mentor repeatedly asks themselves during late-night debriefings. Have you ever encountered this moment? You know where the problem lies, but you also know that once harsh words are uttered, students will be hesitant and timid for the rest of the day. Not saying anything is unacceptable, being too harsh is also problematic, and being too lenient might not be effective enough. "Intelligent Teaching Feedback" is designed for this dilemma. You only need to describe what happened in a sentence or two, and it will automatically: 🧠 Select the most suitable feedback model from six professional feedback models: COIN, SBI, Pendleton, NVC, Sandwich, and GROW 🎯 Generate a verbal response that you can directly articulate—conversational, warm, and specific to the event 🛡️ Ensure criticism is wrapped in a constructive framework, protecting students' self-esteem and stimulating self-motivation 🔄 Simultaneously provide alternative solutions, giving you choices and confidence. It doesn't speak for you; it helps you figure out how to say things that resonate with students. Clinical teaching, classroom theory, and skills training—automatically adapting to different feedback styles across various fields. Safety is never compromised, and novice students are never discouraged. From now on, every feedback is an empowerment, not a blow.

Students' classroom jokes should no longer be met with immediate anger. When a student suddenly blurts out something like "So what?", "Just take it," or "Can't do anything," an immediate outburst from the teacher might trigger laughter and confrontation; ignoring it entirely could lead to the continuous breaking of classroom rules. Sometimes student jokes are simply meant to liven things up, but other times they could be a way to avoid criticism, refuse tasks, disrupt the class, or even harm classmates. This skill is designed for primary and secondary school homeroom teachers, subject teachers, moral education teachers, school counselors, and school administrators. Simply select the student's grade level, the joke scenario, the type of internet meme, the number of students involved, the frequency of occurrence, and the consequences. The system will automatically generate: the nature and risk level of the event; a 10-30 second immediate classroom response script; an outline for individual after-class conversations; alternative solutions for students' proper expression; a home-school communication text; classroom language education activities; and a warning about the risk of peer harm or bullying. This skill is based on educational experience, observations of student communication, and real-life family education scenarios. It doesn't simply allow teachers to "control students," but rather helps teachers quickly assess and stabilize the classroom, provide after-class guidance, and identify the risk of peer harm when necessary.

Please select the child's age, type of internet meme, context of occurrence, frequency of occurrence, and actual impact in that order; if you are unsure of the meaning of the meme, you can upload a screenshot/recording or enter the original words.