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tech-search

Decompose queries, run parallel web searches, and synthesize structured research reports.

Updated Apr 9, 2026
Search Tags:#software development#web search#technical analysis#knowledge synthesis#query decomposition#deep tech research
One-click install
npx skills add https://github.com/States-Media/claude-code-starter --skill tech-search-states-media
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tech-search
Source: https://github.com/States-Media/claude-code-starter/tree/main/skills/tech-search
Command: npx skills add https://github.com/States-Media/claude-code-starter --skill tech-search-states-media

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex technical research by automating deep web searches, decomposition, and synthesis, saving time for developers and researchers.

Core Features & Use Cases

  • Automated Multi-Phase Search: Performs pattern recognition, decomposes queries, and conducts parallel deep-web searches.
  • Research Synthesis: Gathers and consolidates detailed findings into comprehensive reports.
  • Use Case: A developer wants to compare React Server Components and Client Components; this Skill performs the entire research, from initial query clarification to final report generation, with minimal manual input.

Quick Start

Use the tech-search Skill to perform an in-depth investigation on "micro frontend architectures" with a simple query.

Frequently Asked Questions about tech-search

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

FAQPage Schema
How do I conduct deep tech research for software engineering decisions?▼

Deep tech research for software engineering decisions is streamlined by decomposing user queries, executing parallel web searches, and synthesizing findings into structured reports. This automated multi-phase workflow saves developers time.

How does query decomposition work for technical analysis?▼

Query decomposition for technical analysis works by applying pattern matching and domain detection to break down complex technical questions. It then conducts parallel deep-web searches to gather comprehensive data for final synthesis.

What is the best way to synthesize web search findings into a technical report?▼

The best way to synthesize web search findings into a technical report is by using an automated research workflow that gathers and consolidates detailed findings, delivering in-depth analysis of technologies and best practices.

Can I perform an in-depth technology investigation without external dependencies?▼

Yes, you can perform in-depth technology investigations with zero external dependencies. The research process employs internal pattern matching and multi-phase workflows to deliver comprehensive technical analysis autonomously.

Do I need to install external libraries to automate web search and knowledge synthesis?▼

No, you do not need to install external libraries to automate web search and knowledge synthesis. The process operates entirely without external dependencies, using built-in pattern recognition and domain detection.

When should I use automated multi-phase search for software development research?▼

You should use automated multi-phase search for software development research when comparing technologies like micro frontend architectures. It handles everything from initial query clarification to final report generation with minimal manual input.

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