Research Skill

Performs recursive web research to extract and synthesize authoritative information.

71|8|Updated Feb 16, 2026
One-click install
npx skills add https://github.com/larchanka/manbot --skill research-skill-larchanka
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Research Skill
Source: https://github.com/larchanka/manbot/tree/main/skills/research
Command: npx skills add https://github.com/larchanka/manbot --skill research-skill-larchanka

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a disciplined, depth-first research workflow to answer complex, fragmented, or time-sensitive questions by iteratively searching, browsing, extracting, and synthesizing web sources until major gaps are closed.

Core Features & Use Cases

  • Adaptive tool selection: begin with fast search tools and escalate to the lynx text browser for multi-step manual exploration when necessary.
  • Recursive gap-driven loop: plan subtopics, generate diverse queries, identify high-value links, browse and extract content, detect gaps, and repeat until termination criteria are met.
  • Source prioritization & validation: prefer authoritative and recent sources, cross-check contradictions, and synthesize findings into a clear final output.
  • Use cases include technical comparisons, investigative literature reviews, comprehensive fact-checking, and any research task requiring thorough multi-source synthesis.

Quick Start

Ask the Research Skill to perform deep iterative web research on your topic and return a structured synthesis with sources and unresolved gaps.

Frequently Asked Questions about Research Skill

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

FAQPage Schema
How do I perform recursive web research and fact-checking on complex topics?

Recursive web research and fact-checking is performed by iteratively generating diverse queries, browsing high-value links, extracting content, and cross-validating contradictions until information gaps are closed. The process prioritizes authoritative sources and escalates to the lynx text browser when deep extraction is required.

What is the best way to synthesize authoritative information from fragmented web sources?

The best way to synthesize authoritative information from fragmented web sources is to use a depth-first research workflow that selectively escalates between search APIs and the lynx text browser. This approach extracts, cross-checks, and prioritizes recent sources to resolve contradictions and build a structured synthesis.

How does the lynx text browser work for multi-step web research queries?

The lynx text browser works for multi-step web research queries by enabling manual, depth-first exploration of web links identified during initial search API lookups. It extracts raw text content from prioritized sources, allowing the research loop to detect gaps and validate facts directly from the target pages.

Can I use this approach for technical comparisons and investigative literature reviews?

Yes, you can use this approach for technical comparisons and investigative literature reviews. The iterative research loop is designed to handle complex, fragmented, or time-sensitive questions by continuously browsing, extracting, and cross-validating data across multiple sources until the literature gaps are closed.

How to resolve contradictions and validate sources during iterative web browsing?

To resolve contradictions and validate sources during iterative web browsing, the workflow cross-checks conflicting information across multiple high-value links. It prioritizes authoritative and recent sources, using selective escalation to the lynx text browser for deeper extraction and gap detection until termination criteria are met.