web-researcher

Research external grounding on a topic and summarize prior art, market signals, and cross-domain analogies.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/Andreicr1/netz-analysis-engine --skill web-researcher-andreicr1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: web-researcher
Source: https://github.com/Andreicr1/netz-analysis-engine/tree/main/.gemini/skills/web-researcher
Command: npx skills add https://github.com/Andreicr1/netz-analysis-engine --skill web-researcher-andreicr1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill surfaces prior art, adjacent solutions, market signals, and cross-domain analogies to inform decision-making when ideating beyond the current codebase or internal memory.

Core Features & Use Cases

  • Iterative web research to surface external grounding
  • Structured digest with priors, market signals, and cross-domain analogies
  • Use cases: ideation, competitive scanning, and cross-domain pattern discovery

Quick Start

Provide a concise external grounding digest for a given topic by performing iterative web searches and summarizing prior art, adjacent solutions, market signals, and cross-domain analogies.

Frequently Asked Questions about web-researcher

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

FAQPage Schema
How do I find prior art and adjacent solutions for ideation beyond my current codebase?

To find prior art and adjacent solutions, perform iterative web research to surface external grounding, summarizing market signals and cross-domain analogies into a structured digest for strategy validation.

What is external grounding and how does it apply to competitive scanning?

External grounding is the process of using recent, credible web sources to validate strategy during competitive scanning, highlighting verifiable engineering patterns and market signals rather than marketing copy.

How do I discover cross-domain analogies for strategy validation?

Discover cross-domain analogies by executing iterative web searches on a given topic, summarizing findings to reveal patterns and adjacent solutions across different domains in a structured digest.

Does this external grounding approach work for discovering market signals in 2026?

Yes, external grounding for market signals in 2026 relies on recent, credible sources to show verifiable patterns and engineering depth, explicitly avoiding marketing copy to ensure strategy validation accuracy.

What are the limitations of using web research for structured digests?

The main limitation of web research for structured digests is the reliance on external sources, meaning output quality depends entirely on the availability of recent, credible documentation with sufficient engineering depth.

Can I use this for competitive scanning and ideation without internal memory?

Yes, you can use iterative web research for competitive scanning and ideation without internal memory, summarizing external sources to surface prior art, market signals, and cross-domain analogies in a structured format.