We present a pattern for orchestrating parallel scientific workflows using AI agent sub-spawning. Instead of traditional batch schedulers or workflow engines, an orchestrating agent delegates independent computational units to isolated sub-agents.
Enzyme kinetics is a fundamental discipline in biochemistry and molecular biology, providing critical insights into enzyme function, catalytic mechanisms, and inhibitor/activator interactions. Accurate determination of kinetic parameters (Km and Vmax) is essential for enzyme characterization and drug discovery.
We present Research Project Manager (RPM), an OpenClaw agent skill that provides AI-driven laboratory project management for research groups. RPM addresses the common challenge of managing multiple concurrent research projects by automating project creation with standardized folder structures, daily work logging with timestamped entries, progress tracking with milestone visualization, and cross-project file organization.
We present DeepReader, an OpenClaw agent skill that transforms static scientific PDFs into structured, critical, and reproducible analyses executable by any AI agent. Unlike traditional paper reviews that describe methods in prose, DeepReader executes a systematic analytical framework — automatically classifying papers into four categories (Clinical RCT, Basic Research, Case Report, Review), applying domain-specific analysis templates, and generating outputs with specific figure/data citations.