Verbal Idea to In-Depth Report
Speak a problem, we research and draft.
Why we love this skill
Transforms spoken ideas into deep research reports, offering multi-dimensional research plans and multiple output formats to make your thinking more systematic and decisions more precise.
Description
This skill is designed to transform your vague research ideas into clear, actionable plans, providing in-depth analysis and ultimately delivering customized research results. Whether you need quick decision-making, standard business analysis, or deep industry research, it can support you. This tool identifies and breaks down your core needs, clarifies research objectives, potential decision actions, and target audience. Based on the complexity of the problem, it recommends three research depths: L1 (Quick Judgment), L2 (Standard Research), or L3 (Deep Research), ensuring the research effort matches the output. It also provides 2-3 differentiated research plans from multiple perspectives such as tool selection, business decision-making, trend analysis, and user needs. After you select a research plan, the skill conducts multiple rounds of information retrieval and cross-validation from various sources, categorizing all information into facts, opinions, and speculations, with special attention to opposing views and limitations, building a comprehensive and traceable research asset package. Finally, it generates the final deliverables in various forms based on your choice: research reports, PPT presentations, web pages, concise summaries, or content conversion packages. Additionally, you can further process the research results into WeChat public account articles, short video scripts, etc., enabling effective reuse of knowledge.
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LearnAll-Around Movie Buddy Pro
Your all-around movie buddy—worth using for any movie. Before the movie, it catches you up and helps you decide if it's worth watching; after the movie, it becomes an Easter egg hunter, searching the web for hidden details and foreshadowing; after chatting, it helps you write a human-sounding review or organize an analysis video script, ready to publish. One buddy, three stages of companionship for your entire movie-watching journey. 🔍 Transparent sourcing, not AI making things up: Every piece of analysis lets you know where it came from—verifiable findings name the source and include a clickable link (Douban, Zhihu, director interviews, etc.). The buddy's interpretations are labeled in natural language with phrases like "the buddy thinks" (not pretending to be authoritative), and things yet to be verified simply say "no reliable source found yet." You can tell at a glance which items are from the web and which are the buddy's own reasoning—they're never mixed up. Every verifiable analysis includes a source link so you can jump to the original material in one click. 📚 Pre-movie catch-up: fast, accurate, and spoiler-free. No time to watch the previous installments before a sequel? Get a quick recap of the story, character relationships, key terminology, and what to expect—only reviewing earlier works and never spoiling the new film. The briefing files are richly illustrated with official posters, concept art, and other public images. There's also an "Is it worth watching?" assessment that checks Douban, Rotten Tomatoes, and IMDb reviews, analyzing the gap between promotional hype and the actual experience. 🥚 Post-movie Easter egg hunter for satisfying deep dives. After the movie, if you're left wondering "What did that detail mean?" it searches the web for Easter eggs, setups and payoffs, character arcs, and cultural references. It answers in a conversational Q&A style—you ask, and it digs up whatever you're curious about. When key scenes come up, it can include public movie stills, and each analysis includes source links. 📝 Note formatting, ready to publish (optional): Want to share after chatting? It can produce a human-sounding review (with opinions and emotions, like something written by a real person—suitable for Douban, WeChat official accounts, and Moments) or a movie analysis video script (with storyboard annotations, and visuals, narration, and on-screen text all set up, ready to cut and post—suitable for Xiaohongshu, Douyin, and Bilibili). The buddy doesn't proactively offer this—it only triggers when you explicitly ask. 🎬 Covers most movies, animation, and TV series. For each popular release, the experience is pre-movie briefing + post-movie deep dive = one complete journey, with note formatting on demand.
LearnFour-Question Reading Coach
Provide a book title (and optionally your occupation, position, or identity). Using the framework of 'Four Questions of an Active Reader' from *How to Read a Book*, this skill flexibly combines existing knowledge, web search, and any materials you upload to produce a structured reading document containing an author bio, a four-question analysis, 10 key quotes, and recommendations for 3 related books.
LearnOffer Toolkit
A job search system backed by 10 years of experience at a major Silicon Valley company, packaging genuine hiring insights and job search methodologies into AI. Offer Toolkit | AI Job Search Assistant From "discovering your dream job" to "landing the offer," it breaks down the entire job search process into three smart modules: ① JD Decoder Deeply analyze the job description and generate a personalized Offer Strategy Report: - Whether it's worth applying - Role fit assessment - Core strengths and skill gaps - Interview focus and high-probability question predictions ② Resume Builder Transform your experience from a "job description" into a compelling impact story that recruiters recognize: - Automatically structure your personal experience - Optimize project descriptions and quantify achievements - Generate ATS-friendly, high-quality resumes - Supports 11+ print-ready professional templates ③ Behavioral Story Library Mine your real experiences to build reusable interview story assets: - Extract key projects and growth experiences - Automatically convert to STAR Framework - Build a personal Behavioral Interview Story Bank - Efficiently handle "Tell me about a time..." questions Whether you're debating "should I apply for this job," want to "optimize your resume," need to "analyze a JD," or are preparing for your next behavioral interview, Offer Toolkit will automatically identify your needs and route you to the most suitable AI module. Keywords: Job Search, Offer, Career, Job Hunt, JD, Job Description, Resume, CV, Behavioral Interview, STAR, Tell me about a time, Interview Preparation ------------------------------------- job-description-skill: Paste a JD and your resume, and you'll get an HTML report telling you: whether you should apply for this job, how well you match, what gaps exist, what the interview will likely ask, whether the salary is reasonable, and what to do in the next 6 weeks. resume-skill: Helps you polish your existing resume, import from LinkedIn, or write one from scratch through conversation. Provides 11 print-ready templates (Classic-ATS, Ledger, Tech Compact, Modern Sidebar, Pillar, Elegant Serif, Atelier, Timeline, Swiss, Executive, Color-block). Each time, it provides two files: one directly printable as PDF, and one you can edit by clicking words in the browser. bq-skill: It doesn't give you ready-made answers; instead, it helps you dig out things you've actually done and organize them into a reusable story library. It will ask about your experiences step by step, help you clarify your thinking using STAR/CAR, and tag them with labels like "decision-making" and "overcoming adversity." It saves one copy in Chinese and one in English, so you can use the same story for different behavioral questions next time. It can also look at a JD and predict 20 questions the company might ask, helping you prepare one by one. Three shared rules: 1. No fabrication. All experiences, responsibilities, and numbers come from what the user has actually said. It can help rephrase weak expressions, but it will never invent companies, positions, achievements, or quantified numbers. Numbers must be verified with the user. 2. Ask only one question at a time. Digging stories, building resumes, and preparing BQs are conversations, not questionnaires. 3. Structure first, then output. First convert to a standard data model, confirm it's correct, then render HTML or generate answers.
Verbal Idea to In-Depth Report
Speak a problem, we research and draft.
Why we love this skill
Transforms spoken ideas into deep research reports, offering multi-dimensional research plans and multiple output formats to make your thinking more systematic and decisions more precise.
Description
This skill is designed to transform your vague research ideas into clear, actionable plans, providing in-depth analysis and ultimately delivering customized research results. Whether you need quick decision-making, standard business analysis, or deep industry research, it can support you. This tool identifies and breaks down your core needs, clarifies research objectives, potential decision actions, and target audience. Based on the complexity of the problem, it recommends three research depths: L1 (Quick Judgment), L2 (Standard Research), or L3 (Deep Research), ensuring the research effort matches the output. It also provides 2-3 differentiated research plans from multiple perspectives such as tool selection, business decision-making, trend analysis, and user needs. After you select a research plan, the skill conducts multiple rounds of information retrieval and cross-validation from various sources, categorizing all information into facts, opinions, and speculations, with special attention to opposing views and limitations, building a comprehensive and traceable research asset package. Finally, it generates the final deliverables in various forms based on your choice: research reports, PPT presentations, web pages, concise summaries, or content conversion packages. Additionally, you can further process the research results into WeChat public account articles, short video scripts, etc., enabling effective reuse of knowledge.
Related Skills
View allLearnAll-Around Movie Buddy Pro
Your all-around movie buddy—worth using for any movie. Before the movie, it catches you up and helps you decide if it's worth watching; after the movie, it becomes an Easter egg hunter, searching the web for hidden details and foreshadowing; after chatting, it helps you write a human-sounding review or organize an analysis video script, ready to publish. One buddy, three stages of companionship for your entire movie-watching journey. 🔍 Transparent sourcing, not AI making things up: Every piece of analysis lets you know where it came from—verifiable findings name the source and include a clickable link (Douban, Zhihu, director interviews, etc.). The buddy's interpretations are labeled in natural language with phrases like "the buddy thinks" (not pretending to be authoritative), and things yet to be verified simply say "no reliable source found yet." You can tell at a glance which items are from the web and which are the buddy's own reasoning—they're never mixed up. Every verifiable analysis includes a source link so you can jump to the original material in one click. 📚 Pre-movie catch-up: fast, accurate, and spoiler-free. No time to watch the previous installments before a sequel? Get a quick recap of the story, character relationships, key terminology, and what to expect—only reviewing earlier works and never spoiling the new film. The briefing files are richly illustrated with official posters, concept art, and other public images. There's also an "Is it worth watching?" assessment that checks Douban, Rotten Tomatoes, and IMDb reviews, analyzing the gap between promotional hype and the actual experience. 🥚 Post-movie Easter egg hunter for satisfying deep dives. After the movie, if you're left wondering "What did that detail mean?" it searches the web for Easter eggs, setups and payoffs, character arcs, and cultural references. It answers in a conversational Q&A style—you ask, and it digs up whatever you're curious about. When key scenes come up, it can include public movie stills, and each analysis includes source links. 📝 Note formatting, ready to publish (optional): Want to share after chatting? It can produce a human-sounding review (with opinions and emotions, like something written by a real person—suitable for Douban, WeChat official accounts, and Moments) or a movie analysis video script (with storyboard annotations, and visuals, narration, and on-screen text all set up, ready to cut and post—suitable for Xiaohongshu, Douyin, and Bilibili). The buddy doesn't proactively offer this—it only triggers when you explicitly ask. 🎬 Covers most movies, animation, and TV series. For each popular release, the experience is pre-movie briefing + post-movie deep dive = one complete journey, with note formatting on demand.
LearnFour-Question Reading Coach
Provide a book title (and optionally your occupation, position, or identity). Using the framework of 'Four Questions of an Active Reader' from *How to Read a Book*, this skill flexibly combines existing knowledge, web search, and any materials you upload to produce a structured reading document containing an author bio, a four-question analysis, 10 key quotes, and recommendations for 3 related books.
LearnOffer Toolkit
A job search system backed by 10 years of experience at a major Silicon Valley company, packaging genuine hiring insights and job search methodologies into AI. Offer Toolkit | AI Job Search Assistant From "discovering your dream job" to "landing the offer," it breaks down the entire job search process into three smart modules: ① JD Decoder Deeply analyze the job description and generate a personalized Offer Strategy Report: - Whether it's worth applying - Role fit assessment - Core strengths and skill gaps - Interview focus and high-probability question predictions ② Resume Builder Transform your experience from a "job description" into a compelling impact story that recruiters recognize: - Automatically structure your personal experience - Optimize project descriptions and quantify achievements - Generate ATS-friendly, high-quality resumes - Supports 11+ print-ready professional templates ③ Behavioral Story Library Mine your real experiences to build reusable interview story assets: - Extract key projects and growth experiences - Automatically convert to STAR Framework - Build a personal Behavioral Interview Story Bank - Efficiently handle "Tell me about a time..." questions Whether you're debating "should I apply for this job," want to "optimize your resume," need to "analyze a JD," or are preparing for your next behavioral interview, Offer Toolkit will automatically identify your needs and route you to the most suitable AI module. Keywords: Job Search, Offer, Career, Job Hunt, JD, Job Description, Resume, CV, Behavioral Interview, STAR, Tell me about a time, Interview Preparation ------------------------------------- job-description-skill: Paste a JD and your resume, and you'll get an HTML report telling you: whether you should apply for this job, how well you match, what gaps exist, what the interview will likely ask, whether the salary is reasonable, and what to do in the next 6 weeks. resume-skill: Helps you polish your existing resume, import from LinkedIn, or write one from scratch through conversation. Provides 11 print-ready templates (Classic-ATS, Ledger, Tech Compact, Modern Sidebar, Pillar, Elegant Serif, Atelier, Timeline, Swiss, Executive, Color-block). Each time, it provides two files: one directly printable as PDF, and one you can edit by clicking words in the browser. bq-skill: It doesn't give you ready-made answers; instead, it helps you dig out things you've actually done and organize them into a reusable story library. It will ask about your experiences step by step, help you clarify your thinking using STAR/CAR, and tag them with labels like "decision-making" and "overcoming adversity." It saves one copy in Chinese and one in English, so you can use the same story for different behavioral questions next time. It can also look at a JD and predict 20 questions the company might ask, helping you prepare one by one. Three shared rules: 1. No fabrication. All experiences, responsibilities, and numbers come from what the user has actually said. It can help rephrase weak expressions, but it will never invent companies, positions, achievements, or quantified numbers. Numbers must be verified with the user. 2. Ask only one question at a time. Digging stories, building resumes, and preparing BQs are conversations, not questionnaires. 3. Structure first, then output. First convert to a standard data model, confirm it's correct, then render HTML or generate answers.
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