Manages end-to-end bioinformatics research by orchestrating hypothesis-driven experiment planning, execution, and standardized lab notebook documentation.
This skill provides a robust framework for conducting bioinformatics research, guiding the user through a structured lifecycle from project setup and hypothesis formation to data analysis and reporting. It enforces scientific rigor by standardizing lab notebook formats, ensuring that observations, hypotheses, and conclusions are clearly delineated and linked across iterative experiments. By managing a specialized document hierarchy and automating task delegation via subagents, it helps researchers maintain a reproducible and well-organized scientific workflow while tracking progress through dynamic status steering.
주요 기능
01Structured lab notebook management with narrative hypothesis tracking
02Integrated validation workflows to ensure scientific accuracy and consistency
03Automated subagent delegation for specialized experiment and analysis tasks
04Phase-based project orchestration from initial setup to final reporting
05Comprehensive document hierarchy for tracking status, tasks, and knowledge
060 GitHub stars
사용 사례
01Orchestrating complex bioinformatics experiments with multiple sub-steps and rigorous data documentation
02Planning and executing a multi-stage sequence analysis or genomic study
03Maintaining a standardized electronic lab notebook for reproducible computational research