品牌解剖室（消费品牌）
适合产品负责人 •生意操盘手 • 创业者 需要做竞品深度分析的人
品牌解剖室（消费品牌）
适合产品负责人 •生意操盘手 • 创业者 需要做竞品深度分析的人
Showcase
Description
大部分人看品牌，看的是官网、广告和热搜——那是品牌想让你看到的。真正的品牌逻辑，藏在产品结构、定价、渠道、爆款、用户讨论和财务报表里。这个 Skill 会把任意一个品牌，通过 2-4 轮联网深度调研，重建为从「创始原点 → 品牌形成 → 风格演变 → 产品资产 → 爆款形成 → 组织能力 → 品牌增长 → 当前状态」的完整 Operating System：覆盖创始人因果链（Founder → Brand Causality Map）、品牌历史与转折点、风格演变与 Brand Code、产品架构与 Hero Product Portfolio、成长路径与品牌资产演变，并沉淀为 Brand Operating System 系列文档（定位反推、叙事系统、投资者视角、组织能力、成长路径、产品规划 + 爆款生命周期与破圈路径研究）。严格区分有证据支持的事实与合理推断、逐条保留来源 citation，不编造数据、销量、排名、复购率、因果或引述。输出不是一篇品牌故事，而是一套可复用的品牌操作系统，供品牌战略借鉴与竞品分析。
Related Skills
View all
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.
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?"
Product Page Builder
Based on product images, names, specifications, selling points, brand materials, and target platforms, automatically extracts product facts, identifies visual anchors, assesses category and sales strategies, builds evidence chains for selling points, maps the purchase decision journey, establishes a visual master template, and generates prompts for each screen. It emphasizes low hallucination, product consistency, commercial conversion, page rhythm, and professional design execution. By default, it outputs a 13-screen JSON prompt list and supports a copy-ready mode.
Information
- Version
- v12
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
