Guide systematic research of unfamiliar codebases using parallel agents and evidence synthesis.
npx skills add https://github.com/baphled/dotopencode --skill research-baphled
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
This Skill provides a structured methodology for deep investigation and systematic research, enabling users to thoroughly understand unfamiliar codebases, technologies, or complex topics.
Use the research skill to investigate the authentication module of the project.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
thktAnalyze codebase structure, data flow, and dependencies through systematic research.
kriegcloudDecompose complex codebase questions into parallel exploration tracks with cited findings.
umputunRun two opposing agents to gather supporting and opposing evidence with file-line citations.
bettercallfanExtract data flow relations from Python source code using static AST analysis.
