Web Research
について
このスキルは、検索クエリの作成、複数ソースからの情報収集、そして構造化されたマークダウン形式のレポートへの調査結果の統合を通じて、あらゆるトピックに関する自動化されたWeb調査を実行します。浅い検索モードと深い検索モードの両方を提供するため、迅速に包括的な情報を収集するのに最適です。開発者は、調査タスク、情報収集、急速に進化するトピックの最新動向の把握にこれを活用すべきです。
クイックインストール
Claude Code
推奨/plugin add https://github.com/Quintusnz/SideKIckOS_V2git clone https://github.com/Quintusnz/SideKIckOS_V2.git ~/.claude/skills/Web ResearchこのコマンドをClaude Codeにコピー&ペーストしてスキルをインストールします
ドキュメント
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 リポジトリ
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