learn How to quickly understand an industry 📋 User Guide: This Skill is an industry research engine driven by McKinsey methodologies, based on the eight-dimensional framework in Xiao Jing's "How to Quickly Understand an Industry." You tell it an industry name, and it generates a systematic industry research report for you. —————————————————————————————— 🚀 Basic Usage: Simply tell me what industry you want to research, the more specific the better: a. "Please analyze the solid-state battery industry for me" b. "Look at the humanoid robot industry chain from an entrepreneurial perspective" c. "Is the photovoltaic industry still worth investing in?" You can include three pieces of information (not mandatory, I will use the default if missing): 1. Industry Name: The more specific the better, such as "perovskite photovoltaics" rather than "new energy," this is "required"; 2. Goal: Investment/Career Selection/Entrepreneurship/Competitive Analysis/Popular Science, default: Investment; 3. Region: China Market/Global/USA/Southeast Asia..., default: China Market; —————————————————————————————— ⚙️ What will it do automatically? The entire process is divided into four stages: 1. Multiple rounds of online searches to gather evidence of market size/growth rate/penetration rate, industry chain, competitive landscape, moat, policies, and valuation—every conclusion has a source and timeframe, and is never fabricated; 2. Life cycle positioning: using penetration rate to determine whether the industry is in the introduction/growth/maturity/decline stage, with completely different research focuses at each stage; 3. In-depth analysis across eight dimensions: business model → market size → moat (mandatory in-depth analysis of dynamic trends) → competitive landscape (mandatory scoring of each of the five forces) → valuation → PEST analysis → business climate; 4. Anti-consensus testing: distinguishing between market-priced, obvious trends and overlooked real problems, and providing decision-making suggestions; —————————————————————————————— 📊 What will be produced? A professional industry research report in Markdown format is structured as follows: 1. ⚡ 30-Second Quick Assessment — Stage / Core Profitability Logic / Greatest Opportunity / Greatest Risk / One-Sentence Conclusion; 2. Research Subject and Boundary Definition; 3. Life Cycle Positioning (including penetration rate data); 4. Eight-Dimensional Item-by-Item Analysis (Moat includes dynamic trend table and Porter's Five Forces scoring table); 5. Anti-Consensus Test; 6. Conclusions and Decision Recommendations; 7. Key Risk List; 8. Data Sources and Time Explanation; —————————————————————————————— 🔑 Two Core Highlights 1. In-depth Moat Analysis: Not just discussing barrier types, but requiring an answer to "has it widened or narrowed in the past 2-3 years," using market share / gross profit margin / pricing power data; 2. Porter's Five Forces Scoring: All five criteria are assessed, leaving no room for shortcuts, determining who currently has the strongest bargaining power and whether the market structure is favorable or deteriorating for leading companies; —————————————————————————————— ⏱️ This takes approximately 2-4 minutes, as it requires multiple rounds of searching, dimension-by-dimensional analysis, and report writing. —————————————————————————————— 🧩 After the report output is expanded, we can continue with two specialized analyses (you will need to manually confirm these; they won't run automatically): 1. "Dissecting the Chain to Find Bottlenecks": Identifying unavoidable physical bottlenecks in the industry chain during a trend surge, and pinpointing the true beneficiaries; 2. "DCF Valuation": Running a complete discounted cash flow model for specific companies within the industry; —————————————————————————————— ▶️ Want to try? Just tell me an industry name, such as "Please take a look at the AI Agent industry from a startup perspective" or "What's the current situation of the hydrogen energy industry chain?"
learn How to quickly understand a company Enter a company name or stock, and use Charlie Munger's multidimensional thinking model to conduct in-depth investment research and analysis of the stock from the perspective of value investing. SKILL automatically connects to the Internet to mine in-depth information, forces a search before judgment, cross-references two sources, and labels the scope and source. It conducts in-depth analysis according to the seven-dimensional framework of value investing, provides three-scenario valuation and 2×2 quality/price decision, and produces an actionable "In-Depth Analysis of Value Investing" report.
learn Literature search on the method of peeling onions upside down Enter a topic phrase, and it automatically breaks down the topic structure using the "onion peeling method" → expands synonyms → generates four-layer search queries (CNKI + WoS/Google Scholar), and provides an execution list and filtering strategy. Applicable to all disciplines, the search queries can be directly pasted and used. 🎯 What pain points does it solve? ❌ Directly entering a whole sentence into the search box → 0 results ❌ Searching for only one keyword → 5000 results with no idea where to start ❌ Not knowing how to break down a topic → No direction in search terms ✅ Enter "Middle-class educational anxiety and shadow education practices" → Output 30+ directly pasteable search queries + a thesaurus + a layered execution list 📐 Core method: The onion peeling method expands from the inside out, from narrow to wide, in three progressively deeper layers—the core layer precisely identifies 4 essential reading articles, the expansion layer finds 48 directly related studies, and the panoramic layer establishes a comprehensive understanding of the field's scope. 🔧 Output includes: • Breakdown of the three elements of topic selection (qualifiers + research unit + research dimension) • 5-8 related concepts for each element + Chinese-English comparison + superordinate/subordinate concepts • First layer: 8 sets of three-element combination search formulas (title → topic, tight → loose) • Second layer: 3 types of two-element pairings (marking core/background uses) • Third layer: Single-element panoramic search formula • Fourth layer: Superordinate concept expansion strategy • 📋 Six-step execution checklist + screening criteria for each layer (highly cited + cutting-edge) 👥 Who is it suitable for? Academic novices, graduate students, young scholars—anyone who needs to systematically conduct literature searches rather than searching keywords based on intuition.
