web-research
研究計画を策定・保存し、すべての研究ファイルを専用フォルダに整理します。AIエージェントスキルとして、作業効率と自動化能力を向上させます。
npx skills add langchain-ai/deepagents --skill web-researchBefore / After 効果比較
1 组ネットワークリサーチを行う際、明確な計画と組織がなければ、情報過多、重複検索、有効な情報の選別が困難になりがちで、最終的に研究成果の質が低く、時間もかかります。
ネットワークリサーチスキルを活用することで、体系的に研究計画を作成し、すべての研究ファイルを専用フォルダーに整理し、研究課題を分解することができます。これにより、研究効率が向上し、高品質で体系的な研究成果を確実に得られます。
description SKILL.md
web-research
Web Research Skill
Research Process
Step 1: Create and Save Research Plan
Before delegating to subagents, you MUST:
Create a research folder - Organize all research files in a dedicated folder relative to the current working directory:
mkdir research_[topic_name]
This keeps files organized and prevents clutter in the working directory.
Analyze the research question - Break it down into distinct, non-overlapping subtopics
Write a research plan file - Use the write_file tool to create research_[topic_name]/research_plan.md containing:
The main research question
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2-5 specific subtopics to investigate
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Expected information from each subtopic
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How results will be synthesized
Planning Guidelines:
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Simple fact-finding: 1-2 subtopics
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Comparative analysis: 1 subtopic per comparison element (max 3)
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Complex investigations: 3-5 subtopics
Step 2: Delegate to Research Subagents
For each subtopic in your plan:
Use the task tool to spawn a research subagent with:
Clear, specific research question (no acronyms)
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Instructions to write findings to a file:
research_[topic_name]/findings_[subtopic].md -
Budget: 3-5 web searches maximum
Run up to 3 subagents in parallel for efficient research
Subagent Instructions Template:
Research [SPECIFIC TOPIC]. Use the web_search tool to gather information.
After completing your research, use write_file to save your findings to research_[topic_name]/findings_[subtopic].md.
Include key facts, relevant quotes, and source URLs.
Use 3-5 web searches maximum.
Step 3: Synthesize Findings
After all subagents complete:
Review the findings files that were saved locally:
First run list_files research_[topic_name] to see what files were created
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Then use
read_filewith the file paths (e.g.,research_[topic_name]/findings_*.md) -
Important: Use
read_filefor LOCAL files only, not URLs
Synthesize the information - Create a comprehensive response that:
Directly answers the original question
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Integrates insights from all subtopics
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Cites specific sources with URLs (from the findings files)
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Identifies any gaps or limitations
Write final report (optional) - Use write_file to create research_[topic_name]/research_report.md if requested
Note: If you need to fetch additional information from URLs, use the fetch_url tool, not read_file.
Best Practices
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Plan before delegating - Always write research_plan.md first
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Clear subtopics - Ensure each subagent has distinct, non-overlapping scope
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File-based communication - Have subagents save findings to files, not return them directly
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Systematic synthesis - Read all findings files before creating final response
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Stop appropriately - Don't over-research; 3-5 searches per subtopic is usually sufficient
Weekly Installs881Repositorylangchain-ai/deepagentsGitHub Stars14.3KFirst SeenJan 22, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykWarnInstalled onopencode792codex769gemini-cli764github-copilot719cursor711kimi-cli664
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