web-research

Structure web research into planning, sub-agent delegation, and synthesis.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/ai-integr8tor/langchain_ai-deepagents --skill web-research-ai-integr8tor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-research
Source: https://github.com/ai-integr8tor/langchain_ai-deepagents/tree/main/libs/cli/examples/skills/web-research
Command: npx skills add https://github.com/ai-integr8tor/langchain_ai-deepagents --skill web-research-ai-integr8tor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines comprehensive web research by providing a structured approach, making it easier to gather and synthesize information from various sources.

Core Features & Use Cases

  • Structured Research Process: Offers a systematic process for conducting web research, including planning, task delegation, and synthesis.
  • Task Delegation: Utilizes sub-agents to perform specific research tasks, ensuring efficient and focused research.
  • Use Case: When conducting in-depth research on a complex topic, this Skill can break down the research into manageable subtopics and coordinate the collection of information from various sources.

Quick Start

Use the web-research skill to research the topic 'LangGraph' and generate a summary.

Frequently Asked Questions about web-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate comprehensive web research for a complex topic?

Automate comprehensive web research by structuring the process into planning, task delegation, and synthesis. The skill uses sub-agents to break down complex topics into manageable subtopics and coordinate multi-source information gathering.

How does task delegation work for gathering information from multiple sources?

Task delegation works by assigning specific research tasks to sub-agents, ensuring efficient and focused information gathering. Each sub-agent handles a targeted subtopic, and the results are systematically synthesized into a final summary.

What is the best way to synthesize findings from multi-source web research?

The best way to synthesize multi-source web research findings is through a systematic process that coordinates sub-agent data collection and merges the gathered information into a structured summary, ensuring all subtopics are covered.

Do I need to create a structured research plan before using sub-agents?

Yes, structured research planning is required before using sub-agents. The web research process depends on upfront planning to break the topic into manageable subtopics, which the sub-agents then execute for focused information gathering.

Can I use this approach to research any topic and generate a summary?

Yes, you can research any topic and generate a summary by applying the structured research process. For example, you can research the topic 'LangGraph' by delegating subtasks to sub-agents and synthesizing their findings into a comprehensive summary.

When should I not use a sub-agent approach for web research?

You should not use a sub-agent approach for simple, single-query lookups. This structured research method is designed for in-depth research on complex topics that require breaking down the subject into multiple manageable subtopics for systematic synthesis.