research

Guide systematic research of unfamiliar codebases using parallel agents and evidence synthesis.

1|Updated Mar 5, 2026

Search Tags:#research #methodology #investigation #codebase understanding #technical exploration #knowledge gathering

Ready to run

npx skills add https://github.com/baphled/dotopencode --skill research-baphled

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/baphled/dotopencode/tree/main/skills/research
Command: npx skills add https://github.com/baphled/dotopencode --skill research-baphled

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a structured methodology for deep investigation and systematic research, enabling users to thoroughly understand unfamiliar codebases, technologies, or complex topics.

Core Features & Use Cases

Methodical Exploration: Guides users through a process of searching existing knowledge, exploring codebases with parallel agents, and synthesizing findings with evidence.
Evidence-Based Understanding: Emphasizes gathering concrete data like file paths and line numbers to support conclusions.
Use Case: When encountering a large, unfamiliar legacy system, this Skill can be used to systematically research its architecture, identify key modules, and understand data flow before making any modifications.

Quick Start

Use the research skill to investigate the authentication module of the project.

Frequently Asked Questions about research

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

FAQPage Schema

How do I systematically investigate an unfamiliar codebase?▼

Systematic investigation of legacy systems requires gathering concrete data like file paths and line numbers to support conclusions, ensuring deep technical understanding and knowledge acquisition before modifying complex systems.

What is the best way to research complex technical concepts I don't understand?▼

To research complex technical concepts, apply a methodology of methodical exploration that searches existing knowledge, uses parallel agents for technical exploration, and synthesizes evidence-based findings for deep technical understanding.

How do I explore a legacy system architecture before making modifications?▼

To explore legacy system architecture before modifications, use systematic investigation to identify key modules and understand data flow, gathering concrete evidence like file paths and line numbers to support architectural conclusions.

Can I use parallel agents for technical exploration of large codebases?▼

Parallel agents can be used for technical exploration of large codebases to systematically investigate architecture and gather concrete evidence like file paths and line numbers, supporting evidence-based synthesis of findings.

Does systematic research methodology require concrete evidence for codebase understanding?▼

Systematic research methodology requires concrete evidence like file paths and line numbers to support conclusions, enabling evidence-based synthesis of findings for thorough codebase understanding and knowledge acquisition in complex systems.

When do I need a structured methodology for investigating unfamiliar technologies?▼

A structured methodology for investigating unfamiliar technologies is needed when encountering large, complex systems requiring deep technical understanding, enabling systematic research of architecture and identification of key modules before making modifications.