Web Research

Quintusnz

更新于 Today

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其他researchwebinformation-gathering

关于

This skill performs automated web research on any topic by formulating search queries, aggregating information from multiple sources, and synthesizing findings into structured markdown reports. It offers both shallow and deep search modes, making it ideal for gathering comprehensive information quickly. Developers should use it for research tasks, information gathering, and staying current on rapidly evolving topics.

快速安装

Claude Code

技能文档

name: Web Research version: 1.0.0 description: Performs web-based research on any topic category: research tools:

web_search
summarization input_schema: query: type: string description: Topic to research depth: type: string enum: [shallow, deep] default: shallow output_format: markdown estimated_tokens: 2000 author: SkillsFlow tags:
research
web
information-gathering

Web Research Skill

Purpose

Conduct comprehensive internet-based research and gather relevant information about any topic.

How It Works

Parse the user query to identify key search terms
Formulate targeted search queries
Search multiple sources (could use web APIs)
Aggregate and synthesize findings
Return structured markdown report

Example Usage

Shallow Search

Query: "Latest trends in renewable energy"
Expected Output: Brief overview (500-1000 words)

Deep Search

Query: "Impact of AI on employment"
Expected Output: Comprehensive analysis (2000+ words) with citations

Constraints

Only whitelisted APIs allowed
Maximum 3 search calls per invocation
30-second timeout limit
Must cite sources

Output Format

Returns markdown with:

Executive summary
Key findings (bullet points)
Detailed analysis
Source citations

Success Criteria

✓ Relevant results found ✓ Multiple sources cited ✓ Well-organized markdown ✓ Information is current and accurate

GitHub 仓库

Quintusnz/SideKIckOS_V2

路径: skills/web_research