Web Research
О программе
Этот навык выполняет автоматизированное веб-исследование по любой теме: формирует поисковые запросы, агрегирует информацию из множества источников и синтезирует полученные данные в структурированные отчеты в формате markdown. Он предлагает как режим поверхностного, так и углубленного поиска, что делает его идеальным инструментом для быстрого сбора исчерпывающей информации. Разработчикам следует использовать его для исследовательских задач, сбора информации и отслеживания быстро развивающихся тем.
Быстрая установка
Claude Code
Рекомендуетсяnpx skills add Quintusnz/SideKIckOS_V2/plugin add https://github.com/Quintusnz/SideKIckOS_V2git clone https://github.com/Quintusnz/SideKIckOS_V2.git ~/.claude/skills/Web ResearchСкопируйте и вставьте эту команду в Claude Code для установки этого навыка
Документация
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 репозиторий
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