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10x-research

Spawn parallel sub-agents to analyze codebase components and generate research documents.

Updated May 25, 2026
Search Tags:#code analysis#parallel processing#codebase research#sub-agent#research documentation
One-click install
npx skills add https://github.com/bvshi/fodswap --skill 10x-research-bvshi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 10x-research
Source: https://github.com/bvshi/fodswap/tree/main/.agents/skills/10x-research
Command: npx skills add https://github.com/bvshi/fodswap --skill 10x-research-bvshi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines comprehensive codebase research by leveraging parallel sub-agents to answer complex questions efficiently.

Core Features & Use Cases

  • Parallel Sub-Agent Research: Utilizes multiple sub-agents for concurrent analysis of codebase components.
  • File Reading and Analysis: Focuses on reading specific files and synthesizing findings.
  • Research Documentation: Generates detailed research documents with metadata and findings.
  • Use Case: When a developer needs to understand the inner workings of a specific feature in a codebase, they can use this Skill to get a thorough analysis.

Quick Start

Run the 10x-research skill with 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 specific features?▼

Comprehensive codebase research is conducted by spawning parallel sub-agents that analyze specific components and connections. This approach reads targeted files concurrently to synthesize findings into a detailed research document.

How does parallel processing improve code analysis for large codebases?▼

Parallel processing improves code analysis by utilizing multiple sub-agents concurrently to investigate specific codebase components. This concurrent execution allows complex questions to be answered efficiently by distributing the reading and synthesis workload.

What is needed to generate research documentation from a codebase?▼

Generating research documentation requires access to the codebase and specific files relevant to your question. The system analyzes these inputs and outputs a research document complete with detailed findings and metadata.

Can I use sub-agents to understand the inner workings of an unfamiliar codebase?▼

Yes, you can use parallel sub-agents to understand an unfamiliar codebase by having them analyze specific components and connections. This provides a thorough analysis of how specific features work internally.

What is the best way to analyze specific codebase components and their connections?▼

The best way to analyze specific codebase components and connections is using parallel sub-agents for concurrent analysis. This method focuses on reading specific files and synthesizing the findings into comprehensive research documentation.

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