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Quick Web Research Strategy

快速网络研究策略

What This Skill Does

该技能的作用

Provides fast, targeted search methodology for simple questions requiring direct factual answers from authoritative sources. Implements single-pass workflow with precise query formulation and minimal citation overhead.

为需要从权威来源获取直接事实答案的简单问题提供快速、针对性的搜索方法。采用单轮工作流，包含精准的查询构建和最少的引用开销。

When to Use This Skill

适用场景

Use this skill when the research question requires:

Version lookups: "What version of React Router was released in 2025?"
Documentation finding: "Find docs for Terraform AWS provider"
Simple definitions: "What is GraphQL?"
Existence checks: "Does Next.js support Server Components?"
URL/link requests: "Link to Python asyncio documentation"

Triggers: Keywords like "what version", "find docs", "link to", "what is", "does X support", "URL for"

当研究问题属于以下类型时使用该技能：

版本查询：“2025年发布的React Router版本是多少？”
文档查找：“查找Terraform AWS provider的文档”
简单定义：“什么是GraphQL？”
功能支持性检查：“Next.js是否支持Server Components？”
URL/链接获取：“提供Python asyncio文档的链接”

触发关键词：“版本查询”、“查找文档”、“获取链接”、“什么是”、“X是否支持”、“URL地址”

Instructions

操作指南

Single-Pass Workflow

单轮工作流

Objective: Execute 1-2 targeted queries, identify 1-2 authoritative sources, extract concise answer.

目标：执行1-2次针对性查询，识别1-2个权威来源，提取简洁答案。

Step 1: Targeted Query Formulation (1-2 Queries)

步骤1：构建针对性查询（1-2个）

Generate 1-2 highly specific queries using advanced operators:

Query Strategy:

Official Source Priority: Use
```
site:
```
operator for authoritative domains
File Type Targeting: Use
```
filetype:
```
for specific document types
Exact Phrase Matching: Use
```
"exact phrase"
```
for precision
Recent Content: Use
```
after:YYYY
```
for latest information

Examples:

Version Lookup:
- site:npmjs.com "react-router" "version"
- site:github.com "react-router" "releases" after:2025

Documentation Finding:
- site:terraform.io "aws provider" "documentation"
- site:docs.python.org "asyncio"

Simple Definition:
- site:graphql.org "what is GraphQL"
- "GraphQL definition" site:official-docs

Existence Check:
- site:nextjs.org "Server Components" "support"
- "Next.js Server Components" site:vercel.com

使用高级运算符生成1-2个高度具体的查询：

查询策略：

优先官方来源：使用
```
site:
```
运算符指定权威域名
目标文件类型：使用
```
filetype:
```
指定特定文档类型
精确短语匹配：使用
```
"精确短语"
```
提升精准度
最新内容：使用
```
after:YYYY
```
获取最新信息

示例：

版本查询：
- site:npmjs.com "react-router" "version"
- site:github.com "react-router" "releases" after:2025

文档查找：
- site:terraform.io "aws provider" "documentation"
- site:docs.python.org "asyncio"

简单定义：
- site:graphql.org "what is GraphQL"
- "GraphQL definition" site:official-docs

功能支持性检查：
- site:nextjs.org "Server Components" "support"
- "Next.js Server Components" site:vercel.com

Step 2: Authoritative Source Identification (1-2 Sources)

步骤2：识别权威来源（1-2个）

Target Authoritative Sources:

Official documentation: Framework/library official sites
Package registries: npm, PyPI, Maven Central
Official GitHub repos: Releases, changelog
Peer-reviewed sources: Academic papers (rare for quick lookups)

Credibility Hierarchy:

Official docs (highest authority)
Official GitHub/package registry
Established tech publications (MDN, Smashing Magazine)
Community sources (Stack Overflow) - only if official unavailable

目标权威来源：

官方文档：框架/库的官方网站
包注册表：npm、PyPI、Maven Central
官方GitHub仓库：发布记录、变更日志
同行评审来源：学术论文（快速查询中很少使用）

可信度层级：

官方文档（最高权威）
官方GitHub/包注册表
知名技术出版物（MDN、Smashing Magazine）
社区来源（Stack Overflow）- 仅在无官方来源时使用

Step 3: Extract Concise Answer

步骤3：提取简洁答案

Extract direct answer with minimal context:

Answer Format:

markdown

{Concise 1-3 sentence answer with inline citation [1]}

Optional: {1 sentence additional context if needed} [2]

Examples:

markdown

Version Lookup:
React Router v7.2.0 was released on March 15, 2025 [1]. The release introduced new data loading APIs and improved TypeScript support [1].

Documentation Finding:
The Terraform AWS Provider documentation is available at https://registry.terraform.io/providers/hashicorp/aws/latest/docs [1].

Simple Definition:
GraphQL is a query language for APIs that allows clients to request exactly the data they need [1].

Existence Check:
Yes, Next.js 14+ supports Server Components as a stable feature [1]. Server Components are enabled by default in the App Router [1].

提取直接答案，附带最少上下文：

答案格式：

markdown

{1-3句简洁答案，内联引用[1]}

可选：{1句补充上下文（如有需要）} [2]

示例：

markdown

版本查询：
React Router v7.2.0于2025年3月15日发布[1]。该版本引入了新的数据加载API并优化了TypeScript支持[1]。

文档查找：
Terraform AWS Provider的文档可访问：https://registry.terraform.io/providers/hashicorp/aws/latest/docs [1]。

简单定义：
GraphQL是一种API查询语言，允许客户端精准获取所需数据[1]。

功能支持性检查：
是的，Next.js 14+已将Server Components作为稳定功能支持[1]。Server Components在App Router中默认启用[1]。

Step 4: Minimal Citation

步骤4：最少引用

Provide 1-2 citations with essential information only:

Citation Format:

markdown

[1] **{Source Title}**
    - URL: {URL}
    - Author/Org: {organization}
    - Date: {YYYY-MM-DD}
    - Excerpt: "{1-sentence quote}"

Example:

markdown

[1] **React Router v7 Release Notes**
    - URL: https://github.com/remix-run/react-router/releases/tag/v7.2.0
    - Author/Org: Remix Team
    - Date: 2025-03-15
    - Excerpt: "React Router v7.2.0 introduces new data loading APIs..."

提供1-2个仅包含必要信息的引用：

引用格式：

markdown

[1] **{来源标题}**
    - URL: {链接地址}
    - 作者/组织: {组织名称}
    - 日期: {YYYY-MM-DD}
    - 摘录: "{1句引用内容}"

示例：

markdown

[1] **React Router v7版本发布说明**
    - URL: https://github.com/remix-run/react-router/releases/tag/v7.2.0
    - 作者/组织: Remix Team
    - 日期: 2025-03-15
    - 摘录: "React Router v7.2.0引入了新的数据加载API..."

Step 5: Verify Factual Accuracy

步骤5：验证事实准确性

Quick verification checklist:

Answer directly addresses the question?
Source is authoritative (official or highly credible)?
Information is recent (if time-sensitive)?
Citation includes URL for user verification?

No iteration - single pass only for quick mode.

快速验证清单：

答案是否直接回应问题？
来源是否权威（官方或高可信度）？
信息是否最新（若对时间敏感）？
引用是否包含供用户验证的URL？

禁止迭代 - 快速模式仅允许单轮操作。

Output Template

输出模板

markdown

undefined

markdown

undefined

Web Research Analysis (Quick Mode)

网络研究分析（快速模式）

Research Mode: quick Objective: {1-sentence: what was researched}

研究模式: 快速目标: {1句话说明研究内容}

Answer

答案

{Concise 1-3 sentence answer with inline citations [1][2]}

{1-3句简洁答案，内联引用[1][2]}

Source Citations

来源引用

[1] {Source Title} - URL: {URL} - Author/Org: {author/org} - Date: {date} - Excerpt: "{quote}"

[2] {Source Title} (if applicable) - URL: {URL} - Author/Org: {author/org} - Date: {date} - Excerpt: "{quote}"

undefined

[1] {来源标题} - URL: {链接地址} - 作者/组织: {作者/组织} - 日期: {日期} - 摘录: "{引用内容}"

[2] {来源标题}（如适用） - URL: {链接地址} - 作者/组织: {作者/组织} - 日期: {日期} - 摘录: "{引用内容}"

undefined

Examples

示例

Example 1: Version Lookup

示例1：版本查询

Scenario: "What version of React Router was released in 2025?"

Process:

Query (1):
site:github.com "react-router" "releases" "2025"

Source Identified (1):
React Router GitHub Releases [1]

Answer Extracted:
React Router v7.2.0 was released on March 15, 2025 [1].

Citation:
[1] React Router v7.2.0 Release
    - URL: https://github.com/remix-run/react-router/releases/tag/v7.2.0
    - Author/Org: Remix Team
    - Date: 2025-03-15
    - Excerpt: "v7.2.0 Release Notes..."

Verification: ✅ Authoritative (official repo), ✅ Recent, ✅ Directly answers question

Output: Quick Mode Context File with concise answer and 1 citation

场景: "2025年发布的React Router版本是多少？"

流程:

查询(1):
site:github.com "react-router" "releases" "2025"

识别来源(1):
React Router GitHub发布页[1]

提取答案:
React Router v7.2.0于2025年3月15日发布[1]。

引用:
[1] React Router v7.2.0发布记录
    - URL: https://github.com/remix-run/react-router/releases/tag/v7.2.0
    - 作者/组织: Remix Team
    - 日期: 2025-03-15
    - 摘录: "v7.2.0发布说明..."

验证: ✅ 权威来源（官方仓库）, ✅ 最新信息, ✅ 直接回应问题

输出: 包含简洁答案和1个引用的快速模式上下文文件

Example 2: Documentation Finding

示例2：文档查找

Scenario: "Find docs for Python asyncio"

Process:

Query (1):
site:docs.python.org "asyncio"

Source Identified (1):
Python Official Documentation [1]

Answer Extracted:
The Python asyncio documentation is available at https://docs.python.org/3/library/asyncio.html [1].

Citation:
[1] Python asyncio Documentation
    - URL: https://docs.python.org/3/library/asyncio.html
    - Author/Org: Python Software Foundation
    - Date: 2025-01-10 (last updated)
    - Excerpt: "asyncio is a library to write concurrent code using async/await syntax."

Verification: ✅ Official docs, ✅ Recent, ✅ Direct link

Output: Quick Mode summary with documentation URL

场景: "查找Python asyncio的文档"

流程:

查询(1):
site:docs.python.org "asyncio"

识别来源(1):
Python官方文档[1]

提取答案:
Python asyncio的文档可访问：https://docs.python.org/3/library/asyncio.html [1]。

引用:
[1] Python asyncio文档
    - URL: https://docs.python.org/3/library/asyncio.html
    - 作者/组织: Python Software Foundation
    - 日期: 2025-01-10（最后更新时间）
    - 摘录: "asyncio是一个使用async/await语法编写并发代码的库。"

验证: ✅ 官方文档, ✅ 最新信息, ✅ 直接提供链接

输出: 包含文档链接的快速模式摘要

Example 3: Simple Definition

示例3：简单定义

Scenario: "What is GraphQL?"

Process:

Queries (2):
- site:graphql.org "what is GraphQL"
- "GraphQL definition"

Sources Identified (1 primary):
GraphQL Official Site [1]

Answer Extracted:
GraphQL is a query language for APIs and a runtime for fulfilling queries with existing data [1].
It was developed by Facebook and provides a complete description of the data in your API [1].

Citations:
[1] GraphQL Introduction
    - URL: https://graphql.org/
    - Author/Org: GraphQL Foundation
    - Date: 2024-12-01 (last updated)
    - Excerpt: "GraphQL is a query language for APIs and a runtime for fulfilling those queries..."

Verification: ✅ Official source, ✅ Clear definition

Output: Quick Mode summary with definition and official citation

场景: "什么是GraphQL？"

流程:

查询(2):
- site:graphql.org "what is GraphQL"
- "GraphQL definition"

识别来源(1个主来源):
GraphQL官方网站[1]

提取答案:
GraphQL是一种API查询语言，同时也是基于现有数据实现查询的运行时环境[1]。它由Facebook开发，可完整描述API中的数据[1]。

引用:
[1] GraphQL介绍
    - URL: https://graphql.org/
    - 作者/组织: GraphQL Foundation
    - 日期: 2024-12-01（最后更新时间）
    - 摘录: "GraphQL是一种API查询语言，同时也是实现这些查询的运行时环境..."

验证: ✅ 官方来源, ✅ 定义清晰

输出: 包含定义和官方引用的快速模式摘要

Example 4: Existence Check

示例4：功能支持性检查

Scenario: "Does Next.js support Server Components?"

Process:

Query (1):
site:nextjs.org "Server Components" "support"

Source Identified (1):
Next.js Official Documentation [1]

Answer Extracted:
Yes, Next.js 14+ supports Server Components as a stable feature [1]. Server Components are
enabled by default in the App Router and allow rendering components on the server [1].

Citation:
[1] Next.js Server Components Documentation
    - URL: https://nextjs.org/docs/app/building-your-application/rendering/server-components
    - Author/Org: Vercel
    - Date: 2025-01-20
    - Excerpt: "Server Components are a new feature that allow you to render components on the server..."

Verification: ✅ Official docs, ✅ Recent, ✅ Confirms existence and provides context

Output: Quick Mode summary confirming Server Components support

场景: "Next.js是否支持Server Components？"

流程:

查询(1):
site:nextjs.org "Server Components" "support"

识别来源(1):
Next.js官方文档[1]

提取答案:
是的，Next.js 14+已将Server Components作为稳定功能支持[1]。Server Components在App Router中默认启用，允许在服务器端渲染组件[1]。

引用:
[1] Next.js Server Components文档
    - URL: https://nextjs.org/docs/app/building-your-application/rendering/server-components
    - 作者/组织: Vercel
    - 日期: 2025-01-20
    - 摘录: "Server Components是一项新功能，允许你在服务器端渲染组件..."

验证: ✅ 官方文档, ✅ 最新信息, ✅ 确认支持并提供上下文

输出: 确认Server Components支持情况的快速模式摘要

Best Practices

最佳实践

Official Sources First: Always try
```
site:official-domain.com
```
before broader searches
Be Specific: Use exact version numbers, product names, specific terminology
Avoid Over-Research: 1-2 sources sufficient for factual lookups - don't overthink
Verify Recency: For technology topics, check publication/update date
Direct Answers Only: No analysis, no comparison, no deep dive - just the answer
Single Iteration: Never iterate in quick mode - if answer unclear, escalate to standard mode

优先官方来源: 先尝试
```
site:官方域名.com
```
再进行广泛搜索
精准查询: 使用确切的版本号、产品名称、专业术语
避免过度研究: 事实查询只需1-2个来源即可，无需过度纠结
验证时效性: 针对技术主题，检查发布/更新日期
仅提供直接答案: 无需分析、对比或深入研究，只给出答案
单轮迭代: 快速模式下绝不进行迭代，若答案不清晰，升级为标准模式

Common Patterns

常见模式

Pattern 1: Version Lookup

模式1：版本查询

Query: site:{official-repo} "{package}" "version" "release" after:YYYY
Source: GitHub releases, npm registry, official changelog
Answer: "{Package} v{X.Y.Z} released on {date} [1]"

查询: site:{官方仓库地址} "{包名}" "version" "release" after:YYYY
来源: GitHub发布页、npm注册表、官方变更日志
答案: "{包名} v{X.Y.Z}于{日期}发布[1]"

Pattern 2: Documentation URL

模式2：文档URL获取

Query: site:{official-docs-domain} "{topic}"
Source: Official documentation site
Answer: "Documentation available at {URL} [1]"

查询: site:{官方文档域名} "{主题}"
来源: 官方文档网站
答案: "文档可访问：{URL}[1]"

Pattern 3: Yes/No Existence Check

模式3：是/否支持性检查

Query: site:{official-site} "{feature}" "support"
Source: Official feature documentation
Answer: "Yes/No, {product} supports {feature} [1]. {1-sentence context} [1]"

查询: site:{官方网站} "{功能}" "support"
来源: 官方功能文档
答案: "是/否，{产品}支持{功能}[1]。{1句上下文}[1]"

Troubleshooting

故障排除

Issue 1: Multiple Conflicting Versions

Check official source first (GitHub releases, official site)
Verify date (latest is correct for "current version" questions)
If user asks about specific date, note date in answer

Issue 2: No Official Documentation Found

Try package registry (npm, PyPI)
Check official GitHub repo
If still not found, note "No official documentation found; community resources available at {URL}"

Issue 3: Question More Complex Than Expected

Don't force quick mode for complex questions
Note in output: "Question requires deeper analysis; recommend /research:standard or /research:deep"
Provide best-effort answer with caveat

问题1：多个版本存在冲突

优先检查官方来源（GitHub发布页、官方网站）
验证日期（针对“当前版本”问题，最新版本即为正确答案）
若用户询问特定日期的版本，需在答案中注明日期

问题2：未找到官方文档

尝试包注册表（npm、PyPI）
检查官方GitHub仓库
若仍未找到，注明“未找到官方文档；社区资源可访问：{URL}”

问题3：问题复杂度超出预期

不要强行使用快速模式处理复杂问题
在输出中注明：“该问题需要更深入的分析；建议使用/research:standard或/research:deep模式”
在备注前提下提供最佳答案

Integration Points

集成点

WebSearch Tool: Execute 1-2 targeted queries only
Official Sources: Prioritize
```
site:
```
operator for authoritative domains

Context Files: Persist minimal findings to

.agent/Session-{name}/context/research-web-analyst.md

No MCP Servers: Quick mode avoids external dependencies for speed

WebSearch工具: 仅执行1-2次针对性查询
官方来源: 优先使用
```
site:
```
运算符指定权威域名

上下文文件: 将最少研究结果保存至

.agent/Session-{name}/context/research-web-analyst.md

无MCP服务器依赖: 快速模式为追求速度避免外部依赖

Key Terminology

关键术语

Targeted Query: Highly specific search using advanced operators
Authoritative Source: Official documentation, package registry, official repo
Single-Pass: One iteration only, no refinement
Concise Answer: 1-3 sentences directly addressing question
Minimal Citation: 1-2 sources with essential metadata only

针对性查询: 使用高级运算符构建的高度具体的搜索语句
权威来源: 官方文档、包注册表、官方仓库
单轮迭代: 仅执行一次操作，不进行优化调整
简洁答案: 直接回应问题的1-3句话
最少引用: 仅包含必要元数据的1-2个来源引用

Additional Resources

额外资源

Google Search Operators: https://ahrefs.com/blog/google-advanced-search-operators/
Official Documentation Sites: Language/framework official domains
Package Registries: npm (https://npmjs.com), PyPI (https://pypi.org), Maven (https://mvnrepository.com)

Google高级搜索运算符: https://ahrefs.com/blog/google-advanced-search-operators/
官方文档网站: 语言/框架的官方域名
包注册表: npm (https://npmjs.com), PyPI (https://pypi.org), Maven (https://mvnrepository.com)