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Web Research

  • 54 installs
  • smithery.ai

This is a copy of web-research by langchain-ai - installs and ranking accrue to the original listing.

Helps with ai & agent building tasks during AI-assisted development.

About

web-research is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • web-research
  • AI & Agent Building
  • AI-coding skill

Web Research by the numbers

  • 54 all-time installs (skills.sh)
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/smithery.ai --skill web-research

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Installs54
Repositorysmithery.ai

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

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

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