Web Research
About
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.
Documentation
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
Quick Install
/plugin add https://github.com/Quintusnz/SideKIckOS_V2/tree/main/web_researchCopy and paste this command in Claude Code to install this skill
GitHub 仓库
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