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Web Research

Quintusnz
更新日 Today
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GitHubで表示
その他researchwebinformation-gathering

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
メイン
npx skills add Quintusnz/SideKIckOS_V2
プラグインコマンド代替
/plugin add https://github.com/Quintusnz/SideKIckOS_V2
Git クローン代替
git 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

  1. Parse the user query to identify key search terms
  2. Formulate targeted search queries
  3. Search multiple sources (could use web APIs)
  4. Aggregate and synthesize findings
  5. 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

Quintusnz/SideKIckOS_V2
パス: skills/web_research

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