Web Research

This orchestrates multi-source research by spinning up subagents for different subtopics, having them save findings to files, then synthesizing everything into cited reports. You create a research plan, delegate 2-5 focused questions to parallel subagents (each doing 3-5 searches max), then read their findings files and combine them. It's structured around file-based coordination rather than direct returns, which keeps things organized in a dedicated folder. The workflow is methodical: plan, delegate, synthesize. Works well when you need to compare options or investigate something with multiple angles, though the overhead probably isn't worth it for simple lookups.

skills.sh installs: 3.9K
GitHub stars: 31.2K
last updated: Aug 21, 2026

View on GitHub

Install

$ npx -y skills add langchain-ai/deepagents --skill web-research --agent claude-code

Installs into .claude/skills of the current project.

Files

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
- 2-5 specific subtopics to investigate
- Expected information from each subtopic
- How results will be synthesized