Agent Skillslangchain-ai/deepagents › web-research

web-research

GitHub

用于在线搜索多个来源、综合发现并生成引用研究报告的技能。通过分解问题、委派子代理并行调研,最后汇总结果,适用于需要查找当前信息或比较选项的场景。

libs/cli/examples/skills/web-research/SKILL.md langchain-ai/deepagents

Trigger Scenarios

用户要求研究特定主题 需要搜索网络获取最新信息 要求生成带有引用的研究报告 需要对比不同选项

Install

npx skills add langchain-ai/deepagents --skill web-research -g -y
More Options

Non-standard path

npx skills add https://github.com/langchain-ai/deepagents/tree/main/libs/cli/examples/skills/web-research -g -y

Use without installing

npx skills use langchain-ai/deepagents@web-research

指定 Agent (Claude Code)

npx skills add langchain-ai/deepagents --skill web-research -a claude-code -g -y

安装 repo 全部 skill

npx skills add langchain-ai/deepagents --all -g -y

预览 repo 内 skill

npx skills add langchain-ai/deepagents --list

SKILL.md

Frontmatter
{
    "name": "web-research",
    "description": "Searches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report."
}

Web Research Skill

Research Process

Step 1: Create and Save Research Plan

Before delegating to subagents, you MUST:

  1. 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.

  2. Analyze the research question - Break it down into distinct, non-overlapping subtopics

  3. Write a research plan file - Use the write_file tool to create research_[topic_name]/research_plan.md containing:

    • The main research question
    • 2-5 specific subtopics to investigate
    • Expected information from each subtopic
    • How results will be synthesized

Planning Guidelines:

  • Simple fact-finding: 1-2 subtopics
  • Comparative analysis: 1 subtopic per comparison element (max 3)
  • Complex investigations: 3-5 subtopics

Step 2: Delegate to Research Subagents

For each subtopic in your plan:

  1. Use the task tool to spawn a research subagent with:

    • Clear, specific research question (no acronyms)
    • Instructions to write findings to a file: research_[topic_name]/findings_[subtopic].md
    • Budget: 3-5 web searches maximum
  2. 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:

  1. Review the findings files that were saved locally:

    • First run list_files research_[topic_name] to see what files were created
    • Then use read_file with the file paths (e.g., research_[topic_name]/findings_*.md)
    • Important: Use read_file for LOCAL files only, not URLs
  2. Synthesize the information - Create a comprehensive response that:

    • Directly answers the original question
    • Integrates insights from all subtopics
    • Cites specific sources with URLs (from the findings files)
    • Identifies any gaps or limitations
  3. 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

  • Plan before delegating - Always write research_plan.md first
  • Clear subtopics - Ensure each subagent has distinct, non-overlapping scope
  • File-based communication - Have subagents save findings to files, not return them directly
  • Systematic synthesis - Read all findings files before creating final response
  • Stop appropriately - Don't over-research; 3-5 searches per subtopic is usually sufficient

Version History

  • 1e4f507 Current 2026-08-20 16:33

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