tech-search

Decompose complex queries into atomic sub-tasks and execute parallel web searches.

Updated May 27, 2026
One-click install
npx skills add https://github.com/bychrisr/now-company --skill tech-search-bychrisr
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tech-search
Source: https://github.com/bychrisr/now-company/tree/main/.claude/skills/tech-search
Command: npx skills add https://github.com/bychrisr/now-company --skill tech-search-bychrisr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of fragmented, shallow, or unreliable technical research by automating a rigorous, multi-phase investigation pipeline that ensures high-quality, evidence-based results.

Core Features & Use Cases

  • Automated Research Pipeline: Executes a 6-phase workflow including query decomposition, parallel searching, and synthesis.
  • Evidence-Based Synthesis: Consolidates findings into structured reports with expert quotes, code examples, and actionable insights.
  • Use Case: Use this skill to compare complex architectural patterns like React Server Components versus Client Components, ensuring you have a comprehensive, expert-vetted summary without needing to manually browse dozens of search results.

Quick Start

Invoke the tech-search skill by providing your research topic as a string argument to the command.

Frequently Asked Questions about tech-search

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

FAQPage Schema
How do I automate technical research and synthesis for complex architectural comparisons?

Automate technical research by decomposing complex queries into atomic sub-tasks and executing parallel web searches to generate evidence-based synthesis. This pipeline consolidates findings into structured reports with expert quotes and actionable insights.

What is the best way to perform a state-of-the-art technology assessment without manual browsing?

Perform a state-of-the-art technology assessment using an autonomous 6-phase research workflow that executes parallel web searches and synthesizes findings. It consolidates fragmented search results into structured documentation with expert quotes and code examples.

Can I use automated research to compare complex libraries and technical architectural patterns?

Yes, you can compare complex libraries and technical architectural patterns by decomposing queries into parallel sub-tasks. The research pipeline evaluates evidence from multiple sources to deliver comprehensive, expert-vetted summaries.

How does evidence-based technical documentation synthesis work for deep-dive research?

Evidence-based technical documentation synthesis works by executing parallel web searches across decomposed sub-tasks and consolidating the results. It extracts expert quotes, code examples, and actionable insights into structured reports.

When do I need an autonomous deep-tech research pipeline instead of a standard web search?

You need an autonomous deep-tech research pipeline when standard web searches yield fragmented or shallow results for complex queries. It ensures high-quality, evidence-based synthesis by automating a rigorous, multi-phase investigation workflow.