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Deep Research Skill

深度研究Skill

Overview

概述

This skill provides a systematic methodology for conducting thorough web research. Load this skill BEFORE starting any content generation task to ensure you gather sufficient information from multiple angles, depths, and sources.
该Skill提供一套系统化的深度网页研究方法。在启动任何内容生成任务前加载该Skill，确保从多个角度、不同深度和各类来源收集充足的信息。

When to Use This Skill

何时使用该Skill

Always load this skill when:
在以下场景请务必加载该Skill：

Research Questions

研究类问题

  • User asks "what is X", "explain X", "research X", "investigate X"
  • User wants to understand a concept, technology, or topic in depth
  • The question requires current, comprehensive information from multiple sources
  • A single web search would be insufficient to answer properly
  • 用户询问“什么是X”、“解释X”、“研究X”、“调查X”
  • 用户希望深入理解某个概念、技术或主题
  • 问题需要来自多个来源的最新、全面信息
  • 单一网页搜索不足以妥善回答问题

Content Generation (Pre-research)

内容生成（预研究阶段）

  • Creating presentations (PPT/slides)
  • Creating frontend designs or UI mockups
  • Writing articles, reports, or documentation
  • Producing videos or multimedia content
  • Any content that requires real-world information, examples, or current data
  • 创建演示文稿（PPT/幻灯片）
  • 进行前端设计或UI原型制作
  • 撰写文章、报告或文档
  • 制作视频或多媒体内容
  • 任何需要真实世界信息、案例或最新数据的内容创作

Core Principle

核心原则

Never generate content based solely on general knowledge. The quality of your output directly depends on the quality and quantity of research conducted beforehand. A single search query is NEVER enough.
绝不要仅基于通用知识生成内容。 输出内容的质量直接取决于事前研究的质量和信息量。单一搜索查询远远不够。

Research Methodology

研究方法

Phase 1: Broad Exploration

第一阶段：广泛探索

Start with broad searches to understand the landscape:
  1. Initial Survey: Search for the main topic to understand the overall context
  2. Identify Dimensions: From initial results, identify key subtopics, themes, angles, or aspects that need deeper exploration
  3. Map the Territory: Note different perspectives, stakeholders, or viewpoints that exist
Example:
Topic: "AI in healthcare"
Initial searches:
- "AI healthcare applications 2024"
- "artificial intelligence medical diagnosis"
- "healthcare AI market trends"

Identified dimensions:
- Diagnostic AI (radiology, pathology)
- Treatment recommendation systems
- Administrative automation
- Patient monitoring
- Regulatory landscape
- Ethical considerations
从宽泛的搜索开始，了解整体情况：
  1. 初步调研：搜索主题核心内容，理解整体背景
  2. 确定维度：从初步搜索结果中，识别需要深入探索的关键子主题、方向、角度或层面
  3. 梳理版图：记录存在的不同观点、利益相关方或视角
示例：
Topic: "AI in healthcare"
Initial searches:
- "AI healthcare applications 2024"
- "artificial intelligence medical diagnosis"
- "healthcare AI market trends"

Identified dimensions:
- Diagnostic AI (radiology, pathology)
- Treatment recommendation systems
- Administrative automation
- Patient monitoring
- Regulatory landscape
- Ethical considerations

Phase 2: Deep Dive

第二阶段：深度挖掘

For each important dimension identified, conduct targeted research:
  1. Specific Queries: Search with precise keywords for each subtopic
  2. Multiple Phrasings: Try different keyword combinations and phrasings
  3. Fetch Full Content: Use 
    web_fetch
    to read important sources in full, not just snippets
  4. Follow References: When sources mention other important resources, search for those too
Example:
Dimension: "Diagnostic AI in radiology"
Targeted searches:
- "AI radiology FDA approved systems"
- "chest X-ray AI detection accuracy"
- "radiology AI clinical trials results"

Then fetch and read:
- Key research papers or summaries
- Industry reports
- Real-world case studies
针对每个识别出的重要维度，开展针对性研究：
  1. 精准查询：为每个子主题使用精准关键词搜索
  2. 多样表述：尝试不同的关键词组合和表述方式
  3. 获取完整内容：使用
    web_fetch
    读取重要来源的完整内容，而非仅依赖摘要片段
  4. 追踪参考资料：当来源提及其他重要资源时，也对这些资源进行搜索
示例：
Dimension: "Diagnostic AI in radiology"
Targeted searches:
- "AI radiology FDA approved systems"
- "chest X-ray AI detection accuracy"
- "radiology AI clinical trials results"

Then fetch and read:
- Key research papers or summaries
- Industry reports
- Real-world case studies

Phase 3: Diversity & Validation

第三阶段：多样性与验证

Ensure comprehensive coverage by seeking diverse information types:
Information TypePurposeExample Searches
Facts & DataConcrete evidence"statistics", "data", "numbers", "market size"
Examples & CasesReal-world applications"case study", "example", "implementation"
Expert OpinionsAuthority perspectives"expert analysis", "interview", "commentary"
Trends & PredictionsFuture direction"trends 2024", "forecast", "future of"
ComparisonsContext and alternatives"vs", "comparison", "alternatives"
Challenges & CriticismsBalanced view"challenges", "limitations", "criticism"
通过获取多种类型的信息，确保研究的全面性：
信息类型目的搜索示例
事实与数据提供确凿证据"statistics", "data", "numbers", "market size"
案例与实例展示真实应用场景"case study", "example", "implementation"
专家观点获取权威视角"expert analysis", "interview", "commentary"
趋势与预测了解未来方向"trends 2024", "forecast", "future of"
对比分析提供背景与替代方案"vs", "comparison", "alternatives"
挑战与批评保持观点平衡"challenges", "limitations", "criticism"

Phase 4: Synthesis Check

第四阶段：综合检查

Before proceeding to content generation, verify:
  • Have I searched from at least 3-5 different angles?
  • Have I fetched and read the most important sources in full?
  • Do I have concrete data, examples, and expert perspectives?
  • Have I explored both positive aspects and challenges/limitations?
  • Is my information current and from authoritative sources?
If any answer is NO, continue researching before generating content.
在开始内容生成前，验证以下内容：
  • 是否从至少3-5个不同角度进行了搜索？
  • 是否获取并阅读了最重要来源的完整内容？
  • 是否掌握了确凿的数据、案例和专家观点？
  • 是否探索了积极面以及挑战/局限性？
  • 信息是否为最新且来自权威来源？
如果有任何一个问题的答案是否定的，请继续研究，再启动内容生成。

Search Strategy Tips

搜索策略技巧

Effective Query Patterns

有效的查询模式

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Be specific with context

明确上下文

❌ "AI trends" ✅ "enterprise AI adoption trends 2024"
❌ "AI trends" ✅ "enterprise AI adoption trends 2024"

Include authoritative source hints

加入权威来源提示

"[topic] research paper" "[topic] McKinsey report" "[topic] industry analysis"
"[topic] research paper" "[topic] McKinsey report" "[topic] industry analysis"

Search for specific content types

搜索特定内容类型

"[topic] case study" "[topic] statistics" "[topic] expert interview"
"[topic] case study" "[topic] statistics" "[topic] expert interview"

Use temporal qualifiers

使用时间限定词

"[topic] 2024" "[topic] latest" "[topic] recent developments"
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"[topic] 2024" "[topic] latest" "[topic] recent developments"
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When to Use web_fetch

何时使用web_fetch

Use 
web_fetch
to read full content when:
  • A search result looks highly relevant and authoritative
  • You need detailed information beyond the snippet
  • The source contains data, case studies, or expert analysis
  • You want to understand the full context of a finding
在以下场景使用
web_fetch
读取完整内容：
  • 搜索结果看起来高度相关且权威
  • 需要摘要片段之外的详细信息
  • 来源包含数据、案例研究或专家分析
  • 希望了解某项发现的完整背景

Iterative Refinement

迭代优化

Research is iterative. After initial searches:
  1. Review what you've learned
  2. Identify gaps in your understanding
  3. Formulate new, more targeted queries
  4. Repeat until you have comprehensive coverage
研究是一个迭代的过程。初步搜索后：
  1. 回顾已获取的知识
  2. 识别理解中的空白
  3. 制定新的、更具针对性的查询
  4. 重复上述步骤，直至覆盖全面

Quality Bar

质量标准

Your research is sufficient when you can confidently answer:
  • What are the key facts and data points?
  • What are 2-3 concrete real-world examples?
  • What do experts say about this topic?
  • What are the current trends and future directions?
  • What are the challenges or limitations?
  • What makes this topic relevant or important now?
当你能自信回答以下问题时，说明研究已足够充分：
  • 核心事实和数据点有哪些？
  • 有2-3个具体的真实世界案例吗？
  • 专家对该主题有何看法？
  • 当前趋势和未来方向是什么？
  • 存在哪些挑战或局限性？
  • 该主题为何在当下具有相关性或重要性？

Common Mistakes to Avoid

需避免的常见错误

  • ❌ Stopping after 1-2 searches
  • ❌ Relying on search snippets without reading full sources
  • ❌ Searching only one aspect of a multi-faceted topic
  • ❌ Ignoring contradicting viewpoints or challenges
  • ❌ Using outdated information when current data exists
  • ❌ Starting content generation before research is complete
  • ❌ 仅进行1-2次搜索就停止
  • ❌ 依赖搜索摘要而不阅读完整来源
  • ❌ 仅搜索多维度主题的单一层面
  • ❌ 忽略对立观点或挑战
  • ❌ 当有最新数据时仍使用过时信息
  • ❌ 研究完成前就开始内容生成

Output

输出成果

After completing research, you should have:
  1. A comprehensive understanding of the topic from multiple angles
  2. Specific facts, data points, and statistics
  3. Real-world examples and case studies
  4. Expert perspectives and authoritative sources
  5. Current trends and relevant context
Only then proceed to content generation, using the gathered information to create high-quality, well-informed content.
完成研究后，你应具备：
  1. 从多个角度对主题的全面理解
  2. 具体的事实、数据点和统计信息
  3. 真实世界的案例和研究实例
  4. 专家观点和权威来源
  5. 当前趋势和相关背景
只有在此时再启动内容生成，利用收集到的信息创作高质量、有充分依据的内容。