iterative-web-research

Turn user prompts into iterative web research workflows with sourced Markdown reports.

17|2|Updated Dec 15, 2025
One-click install
npx skills add https://github.com/VonEquinox/WebSearchMCP --skill iterative-web-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: iterative-web-research
Source: https://github.com/VonEquinox/WebSearchMCP/tree/main/iterative-web-research
Command: npx skills add https://github.com/VonEquinox/WebSearchMCP --skill iterative-web-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill turns open-ended research tasks into a disciplined, plan-led workflow that produces living artifacts (research-plan.md, evidence-ledger.md, and iteration-log.md) and a sourced Markdown report, enabling repeatable, transparent web discovery.

Core Features & Use Cases

  • Ground the search toolchain by guiding the model through a defined MCP flow (doctor / get_usage_guide / recommend_command) to select the correct final uv run command.
  • Initialize a living research workspace with templates and artifacts that capture questions, evidence, and progress.
  • Orchestrate breadth-first then depth research, fetch primary sources, log iteration history, and enforce stop criteria to produce a report.

Quick Start

Initialize the research workspace with templates and run the doctor-guided MCP flow to begin breadth-first web discovery.

Frequently Asked Questions about iterative-web-research

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

FAQPage Schema
How do I automate iterative web research with source tracking?

Iterative web research is automated by turning prompts into a disciplined workflow that generates living artifacts like an evidence ledger and produces a structured Markdown report with explicit citations.

What is the best way to structure a sourced Markdown report from multiple primary sources?

A sourced Markdown report is structured by fetching primary sources, logging iteration history in tracking files, and enforcing stop criteria to compile breadth-first then depth research into a transparent document.

Can I use this iterative research workflow for tasks requiring up-to-date information?

Yes, this iterative research workflow applies specifically to tasks requiring up-to-date information, orchestrating web discovery to fetch primary sources and capture progress across multiple iterations.

How do I enforce stop criteria during deep web research?

Stop criteria are enforced through templates and guardrails within the research workspace, ensuring the model concludes breadth-first and depth research iterations when defined conditions are met.

Does this web research workflow require dependencies to initialize?

No dependencies are required to initialize the web research workflow, which sets up a research workspace with templates and runs a doctor-guided MCP flow to begin web discovery.