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Matheusvs1998
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tech-search

Execute a 6-phase deep tech research process with Haiku workers.

1|Updated May 12, 2026
Search Tags:#parallel processing#AI research#tech research#deep search#MCPs
One-click install
npx skills add https://github.com/Matheusvs1998/Site-campeonato-de-fifa --skill tech-search-matheusvs1998
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tech-search
Source: https://github.com/Matheusvs1998/Site-campeonato-de-fifa/tree/main/site-fifa/.claude/skills/tech-search
Command: npx skills add https://github.com/Matheusvs1998/Site-campeonato-de-fifa --skill tech-search-matheusvs1998

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of deep tech research, offering a structured approach to gather, evaluate, and synthesize information on technical topics.

Core Features & Use Cases

  • Structured Research Pipeline: Executes a 6-phase workflow for comprehensive research.
  • Parallel Search: Utilizes Haiku workers for efficient parallel processing of sub-queries.
  • Zero External Dependencies: Operates independently, ensuring privacy and security.
  • Use Case: For a project exploring the latest advancements in AI, use this Skill to gather information on new algorithms, frameworks, and best practices.

Quick Start

/tech-search "AI advancements in 2023"

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 on complex technical topics?▼

Deep tech research requires a structured approach to gather and synthesize information. This Skill executes a 6-phase pipeline to search, evaluate, and synthesize technical data efficiently.

Can I use parallel processing to speed up technical research?▼

Yes, parallel processing accelerates technical research. This Skill utilizes Haiku workers to process multiple sub-queries simultaneously, ensuring comprehensive coverage and faster results.

How does a 6-phase research pipeline work for AI research?▼

A 6-phase research pipeline systematically searches, evaluates, and synthesizes information. It breaks down AI research into structured steps, moving from initial sub-queries to final data synthesis.

Do I need external dependencies or MCPs for deep technical research?▼

No external dependencies are required for this deep technical research. The Skill operates independently using multiple MCPs internally, ensuring privacy and security without external setup.

What is the best way to synthesize information on new algorithms and frameworks?▼

The best way to synthesize information on algorithms and frameworks is through parallel search and structured evaluation. This approach gathers data on new advancements and best practices comprehensively.

Are there limitations when using independent tools for tech research?▼

Independent tech research tools operate without external dependencies, which limits integration with external data sources. However, this constraint ensures complete privacy and secure processing.

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