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GustaPaes
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tech-search

Performs deep technical research via web search and evidence extraction.

Updated May 28, 2026
Search Tags:#documentation#web search#tech research#evidence synthesis#deep reading#technical comparison#coverage evaluation
One-click install
npx skills add https://github.com/GustaPaes/aiox-sprint-canvas --skill tech-search-gustapaes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tech-search
Source: https://github.com/GustaPaes/aiox-sprint-canvas/tree/main/.claude/skills/tech-search
Command: npx skills add https://github.com/GustaPaes/aiox-sprint-canvas --skill tech-search-gustapaes

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you quickly get deep, technical research without relying on external AI APIs or manual web digging, so you can make better decisions faster.

Core Features & Use Cases

  • Multi-phase research pipeline: Automatically clarifies intent, decomposes the query into targeted sub-queries, searches in parallel, evaluates coverage, then synthesizes findings.
  • Evidence-focused web collection: Uses WebSearch/WebFetch (optionally MCP tools) to extract key facts, code snippets, expert quotes, and warnings from relevant sources.
  • Documentation-first outputs: Saves a structured research set into docs/research/{YYYY-MM-DD}-{slug}/, including an indexed README and recommendations for next steps.

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 conduct deep technical research for SDK and library comparisons?▼

Deep technical research for SDK and library comparisons uses a multi-phase pipeline that decomposes queries, runs parallel web searches, extracts evidence, and synthesizes source-backed findings into structured documentation.

What is the best way to generate source-backed technical documentation from web searches?▼

Generating source-backed technical documentation uses evidence-focused web collection to extract facts, code snippets, and expert quotes, saving an indexed README with recommendations into a structured research directory.

Does technical research work without external API dependencies for tradeoff analysis?▼

Technical research for tradeoff analysis operates with zero external dependencies beyond standard web search and fetch tools, applying safe guardrails to evaluate coverage and write synthesized outputs.

How do I evaluate coverage when researching technology comparisons?▼

Evaluating coverage during technology comparisons involves assessing extracted evidence against targeted sub-queries, identifying gaps, and performing additional deep reads before synthesizing the final written output.

Can I use web search to extract code snippets and warnings for technical investigations?▼

Web search for technical investigations extracts key facts, code snippets, expert quotes, and warnings from relevant sources using WebSearch and WebFetch tools to build self-contained research.

What are the limitations of automated deep reading for technical research?▼

Automated deep reading for technical research never implements code and strictly writes outputs under a dated research directory, meaning it provides synthesized findings and recommendations rather than executable solutions.

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