Brand Dissection Lab
For product leads, operators & founders
Description
Most people judge a brand by its website, ads, and trending topics—that’s what the brand wants you to see. The real brand logic is hidden in its product structure, pricing, channels, breakout products, customer conversations, and financial statements. This Skill dissects any brand across 9 modules, covering everything from the founder’s background and how the brand makes money to why people choose it and whether it can still thrive ten years from now. The output isn’t a brand story, but a reusable “brand operating system.” Enter a brand name to automatically conduct in-depth research and save it as a standalone document: 9 core modules (reverse-engineering positioning, narrative system, investor perspective, organizational capabilities, growth path, and product planning), plus research into breakout product lifecycles and paths to mainstream adoption, consumer and demand systems, and the founder’s background—for brand strategy and competitive analysis.
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ResearchRapid Industry Understanding
📋 Usage Guide This Skill is an industry research engine based on McKinsey methodology, using the eight-dimension framework from Xiao Jing's "How to Quickly Understand an Industry". Tell it an industry name, and it produces a systematic research report. —————————————————————————————— 🚀 Basic Usage Just tell me the industry you want to research—the more specific, the better: a. "Analyze the solid-state battery industry" b. "Look at the humanoid robot supply chain from an entrepreneurial perspective" c. "Is the solar industry still investable now?" You can optionally provide three details (if missing, I'll use defaults): 1. Industry name: be specific, e.g., "perovskite solar" instead of "new energy"—required; 2. Goal: investment / career / entrepreneurship / competitive analysis / education, default: investment; 3. Region: China market / global / US / Southeast Asia..., default: China market; —————————————————————————————— ⚙️ What it does automatically? The entire process has 4 stages: 1. Multi-round web searches for market size/growth/penetration rate, supply chain, competitive landscape, moat evidence, policy, valuation—every conclusion has a source and timestamp, never fabricated; 2. Lifecycle positioning: use penetration rate to determine if the industry is in introduction/growth/maturity/decline—different stages have completely different research focuses; 3. Eight-dimension deep dive: business model → market size → moat (forced deep dive into dynamic trends) → competitive landscape (forced scoring on each of Porter's Five Forces) → valuation → PEST → business cycle; 4. Contrarian check: distinguish market priced-in consensus from overlooked real issues, and provide decision recommendations; —————————————————————————————— 📊 What it outputs? A professional research report in Markdown format, structured as: 1. ⚡ 30-second verdict — stage / core profit logic / biggest opportunity / biggest risk / one-sentence conclusion; 2. Research object and boundary definition; 3. Lifecycle positioning (with penetration rate data); 4. Eight-dimension analysis (moat includes dynamic trend table, Porter's Five Forces scoring table); 5. Contrarian check; 6. Conclusion and decision recommendations; 7. Key risk list; 8. Data sources and time notes; —————————————————————————————— 🔑 Two Core Highlights 1. Forced deep dive on moat: not just the type of barrier, but must answer "has it widened or narrowed in the past 2-3 years?" using market share/gross margin/pricing power data; 2. Porter's Five Forces scored individually: all five forces scored to avoid shortcuts, determining who has the strongest bargaining power now and whether the landscape is favorable or deteriorating for leaders; —————————————————————————————— ⏱️ Time Approximately 2-4 minutes, due to multiple rounds of search + dimension-by-dimension analysis + report writing —————————————————————————————— 🧩 Subsequent Extensions After the report is generated, you can continue with two specialized analyses (requires manual confirmation, won't run automatically): 1. "Unchain to find bottlenecks": identify physical bottlenecks in the supply chain that can't be bypassed when trends scale, locking in true beneficiary targets; 2. "DCF valuation": run a full discounted cash flow model for a specific company within the industry; —————————————————————————————— ▶️ Want to try? Just tell me an industry name, e.g., "Take a look at the AI agent industry from an entrepreneurial perspective" or "What's the situation with the hydrogen energy supply chain?"
Six-Dimension Skill Analyzer
Deeply analyze any Skill at the product level. Use a six-dimension framework—positioning precision, product structure, packaging and presentation, pricing logic, iteration path, and go-to-market launch—to provide quantitative scores and actionable improvement recommendations. Suitable for: learning the design logic behind successful Skills, diagnosing and optimizing your own Skill, deciding whether a Skill is worth buying, and conducting side-by-side competitor comparisons. Not suitable for: Skill usage tutorials, technical implementation analysis, or simple feature introductions. Triggered when the user says, "Help me analyze/break down this Skill," "What do you think of this Skill?" or "Help me see what I can improve in my Skill."
Competitive Intel Analyst
Start with a broad view to build a persuasive competitor database, then focus the output on the company’s core business and decision-making needs. This elevates competitor research from “case hunting” to a decision basis that can be verified, compared, and acted on. This is not a prompt that merely lists a few competitors and stitches together webpage screenshots, nor one that crams every database detail into a PPT. “Competitive Intel Analyst” is suitable for consumer goods, technology products, software services, healthcare, education, retail, manufacturing, and other industries. It first defines the research scope and builds a multidimensional search framework covering markets, companies, products/services, user value, technology paths, business models, pricing and channels, intellectual property, partners, and evidence sources. It then creates a continuously updateable, deduplicated, traceable competitor database. Finally, based on the company’s core business, intended use cases, and leadership’s decision questions, it selects a small number of highly relevant benchmarks and produces a conclusion-first leadership briefing PPT, opportunity gaps, and an action roadmap. Suitable for: Panoramic scans of new markets or product categories Product planning, technology planning, and annual strategy research Tracking key competitors, patents, suppliers, or partner ecosystems Adding to, cleaning, and updating evidence in existing competitor databases or PPTs Investment, business development, and management decision briefings Condensing large volumes of material into conclusions that leaders can understand and teams can act on Typical deliverables include a complete competitor database, a shortlist of core competitors, a leadership briefing PPT, technology/patent/ecosystem maps (as needed), an opportunity and risk list, 90/180/365-day action roadmaps, and a source index.
Brand Dissection Lab
For product leads, operators & founders
Description
Most people judge a brand by its website, ads, and trending topics—that’s what the brand wants you to see. The real brand logic is hidden in its product structure, pricing, channels, breakout products, customer conversations, and financial statements. This Skill dissects any brand across 9 modules, covering everything from the founder’s background and how the brand makes money to why people choose it and whether it can still thrive ten years from now. The output isn’t a brand story, but a reusable “brand operating system.” Enter a brand name to automatically conduct in-depth research and save it as a standalone document: 9 core modules (reverse-engineering positioning, narrative system, investor perspective, organizational capabilities, growth path, and product planning), plus research into breakout product lifecycles and paths to mainstream adoption, consumer and demand systems, and the founder’s background—for brand strategy and competitive analysis.
Related Skills
View allResearchRapid Industry Understanding
📋 Usage Guide This Skill is an industry research engine based on McKinsey methodology, using the eight-dimension framework from Xiao Jing's "How to Quickly Understand an Industry". Tell it an industry name, and it produces a systematic research report. —————————————————————————————— 🚀 Basic Usage Just tell me the industry you want to research—the more specific, the better: a. "Analyze the solid-state battery industry" b. "Look at the humanoid robot supply chain from an entrepreneurial perspective" c. "Is the solar industry still investable now?" You can optionally provide three details (if missing, I'll use defaults): 1. Industry name: be specific, e.g., "perovskite solar" instead of "new energy"—required; 2. Goal: investment / career / entrepreneurship / competitive analysis / education, default: investment; 3. Region: China market / global / US / Southeast Asia..., default: China market; —————————————————————————————— ⚙️ What it does automatically? The entire process has 4 stages: 1. Multi-round web searches for market size/growth/penetration rate, supply chain, competitive landscape, moat evidence, policy, valuation—every conclusion has a source and timestamp, never fabricated; 2. Lifecycle positioning: use penetration rate to determine if the industry is in introduction/growth/maturity/decline—different stages have completely different research focuses; 3. Eight-dimension deep dive: business model → market size → moat (forced deep dive into dynamic trends) → competitive landscape (forced scoring on each of Porter's Five Forces) → valuation → PEST → business cycle; 4. Contrarian check: distinguish market priced-in consensus from overlooked real issues, and provide decision recommendations; —————————————————————————————— 📊 What it outputs? A professional research report in Markdown format, structured as: 1. ⚡ 30-second verdict — stage / core profit logic / biggest opportunity / biggest risk / one-sentence conclusion; 2. Research object and boundary definition; 3. Lifecycle positioning (with penetration rate data); 4. Eight-dimension analysis (moat includes dynamic trend table, Porter's Five Forces scoring table); 5. Contrarian check; 6. Conclusion and decision recommendations; 7. Key risk list; 8. Data sources and time notes; —————————————————————————————— 🔑 Two Core Highlights 1. Forced deep dive on moat: not just the type of barrier, but must answer "has it widened or narrowed in the past 2-3 years?" using market share/gross margin/pricing power data; 2. Porter's Five Forces scored individually: all five forces scored to avoid shortcuts, determining who has the strongest bargaining power now and whether the landscape is favorable or deteriorating for leaders; —————————————————————————————— ⏱️ Time Approximately 2-4 minutes, due to multiple rounds of search + dimension-by-dimension analysis + report writing —————————————————————————————— 🧩 Subsequent Extensions After the report is generated, you can continue with two specialized analyses (requires manual confirmation, won't run automatically): 1. "Unchain to find bottlenecks": identify physical bottlenecks in the supply chain that can't be bypassed when trends scale, locking in true beneficiary targets; 2. "DCF valuation": run a full discounted cash flow model for a specific company within the industry; —————————————————————————————— ▶️ Want to try? Just tell me an industry name, e.g., "Take a look at the AI agent industry from an entrepreneurial perspective" or "What's the situation with the hydrogen energy supply chain?"
Six-Dimension Skill Analyzer
Deeply analyze any Skill at the product level. Use a six-dimension framework—positioning precision, product structure, packaging and presentation, pricing logic, iteration path, and go-to-market launch—to provide quantitative scores and actionable improvement recommendations. Suitable for: learning the design logic behind successful Skills, diagnosing and optimizing your own Skill, deciding whether a Skill is worth buying, and conducting side-by-side competitor comparisons. Not suitable for: Skill usage tutorials, technical implementation analysis, or simple feature introductions. Triggered when the user says, "Help me analyze/break down this Skill," "What do you think of this Skill?" or "Help me see what I can improve in my Skill."
Competitive Intel Analyst
Start with a broad view to build a persuasive competitor database, then focus the output on the company’s core business and decision-making needs. This elevates competitor research from “case hunting” to a decision basis that can be verified, compared, and acted on. This is not a prompt that merely lists a few competitors and stitches together webpage screenshots, nor one that crams every database detail into a PPT. “Competitive Intel Analyst” is suitable for consumer goods, technology products, software services, healthcare, education, retail, manufacturing, and other industries. It first defines the research scope and builds a multidimensional search framework covering markets, companies, products/services, user value, technology paths, business models, pricing and channels, intellectual property, partners, and evidence sources. It then creates a continuously updateable, deduplicated, traceable competitor database. Finally, based on the company’s core business, intended use cases, and leadership’s decision questions, it selects a small number of highly relevant benchmarks and produces a conclusion-first leadership briefing PPT, opportunity gaps, and an action roadmap. Suitable for: Panoramic scans of new markets or product categories Product planning, technology planning, and annual strategy research Tracking key competitors, patents, suppliers, or partner ecosystems Adding to, cleaning, and updating evidence in existing competitor databases or PPTs Investment, business development, and management decision briefings Condensing large volumes of material into conclusions that leaders can understand and teams can act on Typical deliverables include a complete competitor database, a shortlist of core competitors, a leadership briefing PPT, technology/patent/ecosystem maps (as needed), an opportunity and risk list, 90/180/365-day action roadmaps, and a source index.
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