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deep-research

Orchestrate web searches and codebase analysis into structured research reports.

Updated Aug 23, 2026
Search Tags:#code analysis#web search#deep research#report synthesis#automated investigation
One-click install
npx skills add https://github.com/sdkks/deep-researcher-visualized --skill deep-research-sdkks
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/sdkks/deep-researcher-visualized/tree/main/skills/deep-research
Command: npx skills add https://github.com/sdkks/deep-researcher-visualized --skill deep-research-sdkks

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex research tasks by integrating live web search and codebase analysis into structured, synthesized reports, saving time and increasing accuracy.

Core Features & Use Cases

  • Multi-dimensional analysis: Scopes and investigates multiple facets of a topic simultaneously with specialized subagents.
  • Web and code insights: Combines live web search with in-depth codebase examination for comprehensive understanding.
  • Report synthesis: Cross-verifies findings, classifies confidence tiers, and presents styled, visualized reports with citations.
  • Use Case: For tech evaluations, analyze source code quality, market trends, and regulatory info in parallel, then generate a detailed report.

Quick Start

Instruct the deep research skill to analyze a topic, like "Evaluate the security of serverless architectures", using the default configs, to generate a structured, multi-perspective report.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate web search and code analysis for comprehensive research reports?▼

Automated research reports are generated by orchestrating live web searches and codebase analysis across multiple dimensions, cross-verifying findings, and synthesizing everything into a structured, visualized document with citations.

What is the best way to conduct competitive intelligence and architecture reviews simultaneously?▼

Competitive intelligence and architecture reviews are conducted simultaneously using specialized subagents that scope and investigate multiple facets of a topic in parallel, ensuring automated cross-verification before report synthesis.

Can I analyze source code quality and market trends in parallel for tech evaluations?▼

Source code quality and market trends can be analyzed in parallel for tech evaluations by combining in-depth codebase examination with live web search insights to generate a detailed, multi-perspective report.

How does cross-verification work when synthesizing a multi-dimensional research report?▼

Cross-verification during report synthesis works by classifying confidence tiers across findings gathered from web search and code analysis, ensuring the final styled report maintains high accuracy and includes citations.

Does this deep research approach require manual configuration for rapid onboarding processes?▼

Rapid onboarding processes require no manual configuration, as you can simply instruct the deep research skill to analyze a topic using default configs to immediately generate a structured, multi-perspective report.

When should I use automated investigation instead of manual web search for software engineering tasks?▼

Automated investigation should be used instead of manual web search when you need to streamline complex research tasks like tech evaluations, saving time and increasing accuracy by integrating live web search and codebase analysis.

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