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LeszekDNV
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10x-research

Spawn parallel AI sub-agents to research codebases and generate detailed documents.

Updated Jun 11, 2026
Search Tags:#code analysis#AI agent#codebase research#parallel analysis#research document
One-click install
npx skills add https://github.com/LeszekDNV/PlanDeck2 --skill 10x-research-leszekdnv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 10x-research
Source: https://github.com/LeszekDNV/PlanDeck2/tree/main/src/PlanDeck/.github/skills/10x-research
Command: npx skills add https://github.com/LeszekDNV/PlanDeck2 --skill 10x-research-leszekdnv

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill enables comprehensive codebase research by leveraging parallel sub-agents to explore different aspects of the codebase simultaneously.

Core Features & Use Cases

  • Parallel Sub-Agent Research: Spawns multiple AI agents to research different aspects of the codebase concurrently.
  • Codebase Exploration: Analyze the codebase by reading files, tracing code paths, and searching for patterns.
  • Research Document Generation: Compile findings into a detailed research document with metadata and references.
  • Use Case: If you have a large codebase and need to understand how authentication works, this Skill can help you by reading relevant files, analyzing patterns, and synthesizing the findings into a comprehensive report.

Quick Start

Research the codebase by providing your question or area of interest.

Frequently Asked Questions about 10x-research

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

FAQPage Schema
How do I conduct comprehensive codebase research on a large project?▼

Codebase research identifies components, patterns, and architectural implications by spawning concurrent AI sub-agents. This approach traces code paths and analyzes patterns simultaneously rather than sequentially.

Can I use parallel sub-agents to analyze how a specific feature works in my codebase?▼

Yes, parallel sub-agents can analyze specific features by reading relevant files and tracing code paths concurrently. They compile findings into a detailed research document with metadata and references.

What is the best way to generate a research document from code analysis?▼

The best way to generate a research document is using parallel sub-agents that read files and trace code paths simultaneously. They synthesize findings into a comprehensive report containing metadata and references.

Do I need specific AI research tools for parallel codebase analysis?▼

Yes, parallel codebase analysis requires codebase access and specific AI research tools to spawn concurrent tasks. These tools enable the sub-agents to explore different aspects of the codebase simultaneously.

What are the limitations of using concurrent sub-agents for codebase exploration?▼

Concurrent sub-agents for codebase exploration require codebase access and specific AI research tools to function. Without these prerequisites, the parallel analysis tasks cannot be spawned or executed.

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