deep-research

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深度研究 Skill

In-depth Research Skill

你是一个专业的研究助手,负责对给定选题进行联网搜索和资料收集。
You are a professional research assistant responsible for web-based searching and data collection on given topics.

搜索工具自动检测

Automatic Search Tool Detection

本 Skill 会自动检测当前环境中可用的网络搜索工具,按以下优先级顺序选择:
  1. Claude 内置
    WebSearch
    :Claude 原生模型的默认搜索工具
  2. MCP 搜索工具:自定义模型厂商提供的搜索工具,常见名称如
    mcp__minimax__web_search
    ,或其他包含
    search
    web
    关键词的 MCP 工具
  3. DDGS 回退:当以上工具均不可用时,使用 ddgs Python 库
This Skill automatically detects available web search tools in the current environment, selecting them in the following priority order:
  1. Claude Built-in
    WebSearch
    : Default search tool for Claude native models
  2. MCP Search Tool: Custom model vendor-provided search tools, common names such as
    mcp__minimax__web_search
    , or other MCP tools containing
    search
    or
    web
    keywords
  3. DDGS Fallback: When none of the above tools are available, use the ddgs Python library

检测流程

Detection Process

开始搜索
    ├── WebSearch 可用? ──是──▶ 使用 WebSearch
    ├── MCP 搜索工具可用? ──是──▶ 使用 MCP 工具
    └── 都不可用 ──▶ 回退到 DDGS
搜索方式工具特点
WebSearchClaude 内置搜索质量高、结果更相关
MCP 搜索工具厂商提供(如 Brave、Tavily、Exa 等)自定义模型的搜索能力
DDGS(回退)ddgs Python 库免费、不消耗额度
Start Search
    ├── WebSearch Available? ──Yes──▶ Use WebSearch
    ├── MCP Search Tool Available? ──Yes──▶ Use MCP Tool
    └── None Available ──▶ Fall back to DDGS
Search MethodToolFeatures
WebSearchClaude Built-inHigh search quality, more relevant results
MCP Search ToolVendor-provided (e.g., Brave, Tavily, Exa, etc.)Search capabilities for custom models
DDGS (Fallback)ddgs Python libraryFree, no quota consumption

核心能力

Core Capabilities

  1. 多维度搜索:围绕主题生成多个搜索关键词,从不同角度收集信息
  2. 时效性控制:支持按时间范围过滤结果(天/周/月/年)
  3. 来源追溯:所有信息都附带原始来源链接
  4. 结构化输出:将收集的资料整理为易于使用的 Markdown 格式
  1. Multi-dimensional Search: Generate multiple search keywords around the topic to collect information from different perspectives
  2. Timeliness Control: Support filtering results by time range (day/week/month/year)
  3. Source Traceability: All information is accompanied by original source links
  4. Structured Output: Organize collected materials into easy-to-use Markdown format

使用方式

Usage Methods

联网搜索(优先)

Web Search (Priority)

当检测到可用的网络搜索工具时,直接使用该工具进行搜索。
执行步骤:
  1. 检测可用的搜索工具(WebSearch 或 MCP 搜索工具)
  2. 围绕主题生成 3-5 个搜索关键词(主关键词 + 扩展词如"最新"、"评测"、"教程")
  3. 依次使用搜索工具搜索每个关键词
  4. 整理搜索结果,按 URL 去重
  5. 输出结构化的 Markdown 研究报告(格式见下方"输出格式"章节)
示例调用:
undefined
When an available search tool is detected, use it directly for searching.
Execution Steps:
  1. Detect available search tools (WebSearch or MCP search tool)
  2. Generate 3-5 search keywords around the topic (main keyword + extended terms like "latest", "review", "tutorial")
  3. Use the search tool to search each keyword in sequence
  4. Organize search results and remove duplicates by URL
  5. Output structured Markdown research report (see "Output Format" section below for format)
Example Calls:
undefined

Claude 原生环境

Claude Native Environment

使用 WebSearch 搜索: "AI 写作工具"
Use WebSearch to search: "AI Writing Tools"

自定义模型环境(示例)

Custom Model Environment (Example)

使用 mcp__brave__web_search 搜索: "AI 写作工具"
undefined
Use mcp__brave__web_search to search: "AI Writing Tools"
undefined

DDGS 回退

DDGS Fallback

当没有可用的网络搜索工具时,回退到 ddgs Python 库。
执行步骤:
运行研究脚本:
bash
python scripts/research.py "搜索主题" --max_results 20 --timelimit m --region zh-cn
参数说明:
  • query
    :搜索主题(必填)
  • --max_results
    :每个关键词返回的最大结果数(默认 10)
  • --timelimit
    :时间限制,可选
    d
    (天)、
    w
    (周)、
    m
    (月)、
    y
    (年)
  • --region
    :搜索区域,如
    zh-cn
    us-en
  • --expand
    :是否扩展关键词(默认开启)
  • --output
    :输出文件路径(默认输出到标准输出)
When no web search tools are available, fall back to the ddgs Python library.
Execution Steps:
Run the research script:
bash
python scripts/research.py "Search Topic" --max_results 20 --timelimit m --region zh-cn
Parameter Explanation:
  • query
    : Search topic (required)
  • --max_results
    : Maximum number of results returned per keyword (default 10)
  • --timelimit
    : Time limit, options include
    d
    (day),
    w
    (week),
    m
    (month),
    y
    (year)
  • --region
    : Search region, e.g.,
    zh-cn
    ,
    us-en
  • --expand
    : Whether to expand keywords (enabled by default)
  • --output
    : Output file path (defaults to standard output)

输出格式

Output Format

无论使用哪种搜索模式,都应输出统一格式的 Markdown 研究报告:
markdown
undefined
Regardless of the search mode used, a unified format Markdown research report should be output:
markdown
undefined

研究报告:[主题]

Research Report: [Topic]

搜索概览

Search Overview

  • 搜索时间:2026-01-21
  • 搜索模式:WebSearch / DDGS
  • 关键词:主关键词, 扩展关键词1, 扩展关键词2
  • 结果数量:XX 条
  • Search Time: 2026-01-21
  • Search Mode: WebSearch / DDGS
  • Keywords: Main Keyword, Extended Keyword 1, Extended Keyword 2
  • Number of Results: XX

核心发现

Key Findings

1. [发现标题]

1. [Finding Title]

[内容摘要]
来源:标题
[Content Summary]
Source: Title

2. [发现标题]

2. [Finding Title]

...
...

参考资料

References

  1. 标题1
  2. 标题2 ...
undefined
  1. Title1
  2. Title2 ...
undefined

研究策略

Research Strategy

关键词扩展

Keyword Expansion

对于主题 "AI 写作工具",会自动扩展为:
  • AI 写作工具(原始关键词)
  • AI 写作工具 评测/对比
  • AI 写作工具 使用教程
  • AI 写作工具 最新动态
For the topic "AI Writing Tools", it will be automatically expanded to:
  • AI Writing Tools (original keyword)
  • AI Writing Tools Reviews/Comparisons
  • AI Writing Tools Usage Tutorials
  • Latest Developments in AI Writing Tools

信息去重

Information Deduplication

  • 按 URL 去重,避免重复内容
  • 按内容相似度合并相近结果
  • Remove duplicates by URL to avoid repeated content
  • Merge similar results by content similarity

质量筛选

Quality Filtering

  • 优先保留权威来源(官方文档、知名媒体)
  • 过滤明显的广告和低质量内容
  • Prioritize authoritative sources (official documents, well-known media)
  • Filter obvious advertisements and low-quality content

输出示例

Output Example

markdown
undefined
markdown
undefined

研究报告:Claude AI 最新功能

Research Report: Latest Features of Claude AI

搜索概览

Search Overview

  • 搜索时间:2026-01-21
  • 关键词:Claude AI 最新功能, Claude AI 更新, Claude 3.5 特性
  • 结果数量:28 条(去重后)
  • Search Time: 2026-01-21
  • Keywords: Latest Features of Claude AI, Claude AI Updates, Claude 3.5 Features
  • Number of Results: 28 (after deduplication)

核心发现

Key Findings

1. Claude 3.5 Sonnet 发布

1. Release of Claude 3.5 Sonnet

Anthropic 于 2025 年发布了 Claude 3.5 Sonnet,在代码生成和长文本理解方面有显著提升。
Anthropic released Claude 3.5 Sonnet in 2025, with significant improvements in code generation and long text understanding.

2. 工具使用能力增强

2. Enhanced Tool Usage Capabilities

新版本支持更复杂的工具调用链...
The new version supports more complex tool call chains...

参考资料

References

注意事项

Notes

联网搜索(WebSearch / MCP)

Web Search (WebSearch / MCP)

  1. 额度消耗:每次搜索可能消耗额度(取决于具体工具)
  2. 搜索质量:结果更相关、更准确
  3. 推荐使用:重要选题、需要高质量资料时
  1. Quota Consumption: Each search may consume quota (depending on the specific tool)
  2. Search Quality: More relevant and accurate results
  3. Recommended Usage: For important topics requiring high-quality materials

DDGS 回退

DDGS Fallback

  1. 网络要求:需要能够访问 DuckDuckGo 搜索服务
  2. 速率限制:避免短时间内大量请求,建议每次搜索间隔 1-2 秒
  3. 结果时效:搜索结果可能有几小时到几天的延迟
  4. 语言偏好:中文主题建议使用
    zh-cn
    区域设置
  5. 何时使用:仅当没有可用的联网搜索工具时自动回退
  1. Network Requirements: Need access to DuckDuckGo search service
  2. Rate Limiting: Avoid a large number of requests in a short time, it is recommended to wait 1-2 seconds between each search
  3. Result Timeliness: Search results may have a delay of a few hours to a few days
  4. Language Preference: For Chinese topics, it is recommended to use the
    zh-cn
    region setting
  5. When to Use: Automatically fall back only when no web search tools are available