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search-philosophy

Find and verify authoritative information sources through systematic multi-source research workflows.

1|Updated Apr 10, 2026
Search Tags:#web research#competitive analysis#literature search#information discovery#source evaluation#fact verification
One-click install
npx skills add https://github.com/lava-chen/duya --skill search-philosophy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: search-philosophy
Source: https://github.com/lava-chen/duya/tree/main/packages/agent/skills/cognition/search-philosophy
Command: npx skills add https://github.com/lava-chen/duya --skill search-philosophy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps overcome unreliable and inefficient internet research by providing a structured approach for discovering, evaluating, and verifying high-quality information sources.

Core Features & Use Cases

  • Research Strategy: Applies a wide-to-narrow-to-verify funnel methodology for complex web investigations and information discovery.
  • Source Evaluation: Guides credibility assessment, citation analysis, and verification across technical, academic, market, and news research.
  • Use Case: Use this Skill when investigating a technology landscape, validating claims, discovering academic literature, or performing competitive analysis where basic search results are insufficient.

Quick Start

Use the search-philosophy skill to research the current state of AI agent frameworks and identify authoritative sources.

Frequently Asked Questions about search-philosophy

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

FAQPage Schema
How do I evaluate web sources for fact verification during competitive analysis?▼

Fact verification requires systematic source evaluation using citation analysis and multi-source verification workflows to assess credibility and confirm reliable research outcomes. This approach applies wide-to-narrow funnel methodology to filter out unreliable information.

What is the best way to find authoritative literature for technical investigations?▼

Authoritative literature discovery relies on systematic query construction combined with a wide-to-narrow-to-verify funnel methodology, ensuring technical investigations yield credible, high-quality information sources rather than basic search results.

How does multi-source verification work when validating claims from internet research?▼

Multi-source verification works by cross-checking claims against several authoritative information sources using citation analysis, ensuring that data sourcing and fact verification produce reliable, credible research outcomes.

Can I use this research strategy for both market research and academic literature discovery?▼

Yes, this research strategy applies to market research, academic literature discovery, competitive analysis, and technical investigations, using systematic query construction and source evaluation to deliver reliable research outcomes across domains.

When should I not use basic search results for competitive analysis?▼

Basic search results are insufficient for competitive analysis when reliable research outcomes are required, necessitating structured information discovery, credibility assessment, and multi-source verification workflows to ensure authoritative findings.

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