iterative-web-research

Name: iterative-web-research
Availability: InStock
Author: vonequinox

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

17|2|Updated Dec 15, 2025

Search Tags:#iterative #web-research #markdown-report #primary-sources #source-tracking #evidence-ledger #stop-criteria

Ready to run

npx skills add https://github.com/VonEquinox/WebSearchMCP --skill iterative-web-research

💬 Prompt for ChatGPT / Claude Chat▼

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.