research-web

Plan, execute, and synthesize multi-wave web research findings.

4|1|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/doodledood/codex-workflow --skill research-web
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-web
Source: https://github.com/doodledood/codex-workflow/tree/main/skills/research-web
Command: npx skills add https://github.com/doodledood/codex-workflow --skill research-web

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables comprehensive multi-wave web research with strategic source selection, credibility evaluation, cross-referencing, and synthesized recommendations for informed decision making.

Core Features & Use Cases

  • Multi-wave approach: Plan, execute, and consolidate findings across official docs, community resources, and expert sources.
  • Credibility-driven synthesis: Evaluate sources, resolve conflicts, and produce actionable recommendations.
  • Use Case: Ideal for deep technical research, API documentation review, and best-practice discovery in complex tech domains.

Quick Start

Provide a topic in $ARGUMENTS and run the research workflow to generate a structured synthesis.

Frequently Asked Questions about research-web

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

FAQPage Schema
How do I conduct multi-wave web research for API documentation and official guides?

Multi-wave web research automates planning, executing, and synthesizing findings across official docs, code repositories, and expert analyses. It structures the process into sequential waves to evaluate source credibility and cross-reference validation for consolidated technical recommendations.

What is the best way to synthesize conflicting information from community resources and official docs?

Synthesizing conflicting information requires evaluating source credibility across official docs and community resources. The process resolves discrepancies through cross-reference validation, producing actionable recommendations that prioritize high-credibility technical sources over unverified community input.

Can I use this research workflow for deep technical research in complex tech domains?

This research workflow suits deep technical research and best-practice discovery in complex tech domains. It applies strategic source selection across API documentation, code repositories, and expert analyses to generate structured synthesis for informed decision making.

How do I evaluate source credibility when doing web research on official documentation?

Evaluating source credibility involves assessing official docs, community resources, and expert sources during multi-wave research. The workflow checks cross-references and handles conflicts to ensure that synthesized recommendations rely on verified, authoritative technical documentation.

What are the limitations of automated web research for advanced technical sources?

Automated web research depends on the accessibility and structure of official docs, code repositories, and expert analyses. Limitations arise when sources lack clear documentation, require authentication, or present conflicting data that cannot be resolved through cross-reference validation alone.