Orchestrate parallel scientist agents to analyze complex research goals.
npx skills add https://github.com/Hyeonjun0527/yeon --skill sciomc-hyeonjun0527
Please help me install this Agent Skill. Skill: sciomc Source: https://github.com/Hyeonjun0527/yeon/tree/main/.codex/skills/sciomc Command: npx skills add https://github.com/Hyeonjun0527/yeon --skill sciomc-hyeonjun0527
Orchestrates parallel scientist agents to perform multi-stage research goals efficiently, reducing manual coordination and turnaround time.
Provide a research goal and start AUTO mode to begin autonomous analysis.
High-intent search queries and answers about installing and using this skill.
Yes, you can execute multi-stage research workflows in parallel. The system supports parallel stage execution across multiple hypotheses or research questions, enabling auto-driven end-to-end execution with built-in verification and synthesis.
This approach applies to goal decomposition, multi-stage parallel execution, cross-validation, and auto-synthesis across diverse codebases and datasets. It reduces manual coordination and significantly cuts down research turnaround time.
You can start by providing a research goal and initiating AUTO mode to begin autonomous analysis. This triggers the system to decompose the goal, route models, execute parallel stages, and synthesize the verified results.
This approach distinguishes itself by autonomously orchestrating parallel scientist agents for multi-stage execution and cross-validation. Unlike basic sequential tools, it provides auto-driven end-to-end execution with flexible routing and comprehensive final reporting.
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