web-research

Plan structured web research, delegate subtopics to sub-agents, and synthesize findings into reports.

50|4|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/Hmbown/rlmagents --skill web-research-hmbown
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-research
Source: https://github.com/Hmbown/rlmagents/tree/main/libs/cli/examples/skills/web-research
Command: npx skills add https://github.com/Hmbown/rlmagents --skill web-research-hmbown

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill streamlines the process of conducting in-depth web research by breaking down complex topics into manageable sub-tasks, delegating them to specialized sub-agents, and synthesizing the findings into a coherent report.

Core Features & Use Cases

  • Structured Research Planning: Guides users to create detailed research plans for organized information gathering.
  • Sub-agent Delegation: Leverages task tool to spawn specialized research agents for specific subtopics.
  • Systematic Synthesis: Consolidates information from multiple sources and sub-agents into a comprehensive final output.
  • Use Case: Researching the market trends for electric vehicles, breaking it down into subtopics like battery technology, charging infrastructure, and government incentives, then synthesizing the findings into a market analysis report.

Quick Start

Use the web-research skill to research the impact of climate change on global agriculture, saving findings to a research_climate_agriculture folder.

Frequently Asked Questions about web-research

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

FAQPage Schema
How do I conduct structured web research for complex topic investigations?

Structured web research is conducted by creating a detailed research plan, delegating subtopics to specialized sub-agents, and systematically synthesizing the findings into a comprehensive, well-sourced report.

What's the best way to break down complex research topics into manageable sub-tasks?

The best way to break down complex research topics is to plan the information gathering systematically, then leverage sub-agent delegation to spawn specialized agents for investigating specific subtopics independently.

Can I use sub-agents to gather information and synthesize comparative analyses?

Yes, you can use sub-agents to gather information for comparative analyses by delegating specific research subtopics to them, then consolidating the information from multiple sources into a final synthesized report.

How does sub-agent delegation work for generating well-sourced research reports?

Sub-agent delegation works by using the task tool to spawn specialized agents that investigate specific subtopics, fetching URLs and writing files to consolidate information into a well-sourced research report.

Do I need to use task and fetch_url tools for effective web scraping and information gathering?

Yes, systematic use of task, fetch_url, write_file, and read_file tools is required for effective web scraping and information gathering to properly delegate subtasks and consolidate research findings.