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hv-analysis

横纵分析法（Horizontal-Vertical Analysis）深度研究Skill。由数字生命卡兹克提出，融合了索绪尔的历时-共时分析、社会科学的纵向-横截面研究设计、商学院案例研究法与竞争战略分析的核心思想。 当用户想要系统性研究一个产品、公司、概念、技术或人物时使用。核心是双轴分析：纵轴追踪从诞生到当下的完整生命历程（以叙事故事呈现），横轴在当下时间截面上与竞品/同类进行系统性横向对比，最后交叉两条轴产出独到洞察。最终产出一份排版精美的PDF研究报告。 触发词包括但不限于：横纵分析、研究一下、帮我分析、深度研究、做个研究、调研一下、竞品分析、帮我看看这个东西怎么样、这个产品/公司/概念是怎么回事、帮我摸清楚、帮我搞懂、帮我做个deep research。 即使用户只是说"帮我了解一下XX"或"XX是什么来头"，只要上下文暗示需要系统性的深度研究（而非简单的概念解释），都应该触发。也适用于用户丢来一个产品名、公司名、技术名词说"帮我研究一下这个"的场景。 不要用于简单的名词解释（用户只是问"XX是什么"）、不要用于公众号写作（那个用khazix-writer）、不要用于纯标题摘要生成（用wechat-title）。

hv-analysis In-Depth Research Skill Using the Horizontal–Vertical Analysis Method — AI Deep Research and Competitive Analysis Report Generation

Skill Overview

hv-analysis is an AI-powered deep research skill based on the horizontal–vertical analysis method. Its vertical axis reconstructs the subject’s complete life cycle from its origins to the present along a timeline, while its horizontal axis conducts a systematic comparison with competitors at the current point in time. By intersecting these two axes, it produces distinctive insights and ultimately generates a beautifully formatted PDF research report of 10,000 to 30,000 Chinese characters. It is suitable for systematic research into products, companies, concepts, and individuals.

Applicable Scenarios

  1. Systematic in-depth research: When you say, “Help me research XX” or “Help me do some deep research,” and genuinely want to understand the full background and development of a product, company, technological concept, or individual—not just receive a brief definition—this skill can be used to trace the subject’s origins and evolution along the vertical axis.
  2. Competitive analysis and industry research: When you need to understand the subject’s position within its competitive landscape, the skill selects 3–5 representative competitors at the current point in time and conducts an in-depth comparison covering technology approaches, authentic user feedback, ecosystem positioning, and trend analysis.
  3. Production of a deliverable research report: When you need a complete, beautifully formatted PDF research report that can be used directly for presentations or archiving—including a cover, table of contents, headers and footers, and a list of information sources—for presentations, investment references, or content creation, this skill can deliver it.

Core Functions

  1. Dual-axis analytical framework: The vertical axis performs diachronic analysis, reconstructing origins, key milestones, decision-making logic, and stages of development in a narrative format (6,000–15,000 Chinese characters) to explain “why it evolved into what it is today.” The horizontal axis performs synchronic analysis, conducting a systematic comparison with competitors in the same sector (3,000–10,000 Chinese characters). Finally, the two axes are cross-referenced to produce 1,500–3,000 Chinese characters of integrated insights.
  2. Online information gathering and source verification: Built-in parallel search strategies use WebSearch/WebFetch and arXiv academic searches to obtain first-hand sources, including official blogs, GitHub releases, funding announcements, and community discussions. The system also conducts a self-check of information sufficiency. Information that cannot be found is honestly marked as “currently unavailable,” and is never fabricated.
  3. Integrated insights and PDF report generation: By combining the longitudinal narrative with the horizontal competitive landscape, the skill analyzes the historical roots of the subject’s strengths and weaknesses and develops three future scenarios: the most likely, the most dangerous, and the most optimistic. Once the report is completed, the built-in WeasyPrint conversion script can be used to generate a beautifully formatted PDF with a cover page, table of contents, and unified color scheme in one step.

Frequently Asked Questions

What types of subjects is hv-analysis suitable for researching?

It can be used for four categories of subjects: products, companies, concepts, and individuals. The skill automatically adjusts its focus according to the type of subject being researched: product research emphasizes version iterations, technology pathways, and user growth; company research focuses on founding teams, financing history, and strategic shifts; concept research focuses on origins, popularization, and the evolution of debates; and individual research focuses on personal experiences, key decisions, and comparisons of approaches taken by others in the same field.

How is it different from ordinary AI search or Deep Research?

Ordinary AI search provides information summaries, whereas hv-analysis provides structured judgments. It divides research into two axes: the vertical axis places the subject on a timeline and presents a complete causal narrative; the horizontal axis situates it within the competitive landscape for contemporaneous comparison. The two axes are then cross-referenced to answer the question, “How has history shaped its current competitive position?” and to project three possible future scenarios. The final deliverable is a 10,000- to 30,000-character PDF report rather than a brief overview.

What scenarios are not suitable for this skill?

Three types of scenarios are better handled with other tools: when you only want a simple definition of “what is XX”; when you are writing an article for a public account (please use khazix-writer); and when you only need a title or abstract generated (please use wechat-title). It should also be noted that a complete horizontal–vertical analysis typically exceeds 10,000 Chinese characters and requires multiple rounds of online searching. Users seeking a quick answer within 30 seconds may find it too heavyweight.