tech-search

Decompose technical questions into sub-queries and synthesize source-grounded reports.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/freitassph/aiox-core --skill tech-search-freitassph
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tech-search
Source: https://github.com/freitassph/aiox-core/tree/main/.claude/skills/tech-search
Command: npx skills add https://github.com/freitassph/aiox-core --skill tech-search-freitassph

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates time-consuming manual searching by producing deep, structured research on complex technical questions with traceable sources.

Core Features & Use Cases

  • Deep tech research pipeline: runs a multi-phase workflow (clarify, decompose, parallel search, evaluate, synthesize).
  • Source-grounded outputs: prioritizes evidence quality using web search, deep reads, and credibility labeling.
  • Documentation-first results: saves a complete research package to docs/research/{YYYY-MM-DD}-{slug}/ without generating production code.

Quick Start

Ask: /tech-search "React Server Components vs Client Components"

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 for framework comparisons?

Automate technical research by decomposing natural-language questions into sub-queries, running parallel web searches, and synthesizing evidence-based reports with traceable sources.

Can I generate decision-making documentation from web search results?

Generate decision-making documentation by saving synthesized, source-grounded research packages directly into a structured docs/research directory without writing production code.

What is the best way to find up-to-date engineering best practices?

Find up-to-date engineering best practices through a multi-phase workflow that clarifies your query, performs deep page reads, and labels source credibility for an evidence-based report.

How does deep research handle complex technical questions?

Deep research handles complex technical questions by breaking them into searchable sub-queries, evaluating parallel search results, and synthesizing the findings into a structured report.

Does this technical research workflow write implementation files?

No, the technical research workflow strictly vetoes implementation or file writes elsewhere, mandating documentation-first outputs exclusively within the docs/research directory.