Orchestrates parallel scientist agents to decompose, execute, verify and synthesize research goals into reports.
npx skills add https://github.com/Rheinmir/skills-kit --skill sciomc-rheinmir
Please help me install this Agent Skill. Skill: sciomc Source: https://github.com/Rheinmir/skills-kit/tree/main/skills/sciomc Command: npx skills add https://github.com/Rheinmir/skills-kit --skill sciomc-rheinmir
Orchestrate parallel scientist agents for comprehensive research workflows with optional AUTO mode for fully autonomous execution.
Initiate an AUTO-mode research session with a defined goal to run parallel investigations.
High-intent search queries and answers about installing and using this skill.
Parallel research analysis decomposes complex goals into independent stages and executes them concurrently using multiple scientist agents. This approach accelerates investigations by running parallel processing and cross-validating findings before synthesis into a final report.
Orchestrating autonomous scientist agents requires clear goals and stage definitions to coordinate a diverse set of models. You initiate an AUTO-mode session to run parallel investigations, cross-validate findings, and synthesize comprehensive reports end-to-end.
Yes, parallel research analysis requires access to a diverse set of agent models to coordinate independent investigations. You must also provide clear research goals and stage definitions to decompose tasks and execute parallel processing effectively.
AUTO mode enables fully autonomous execution of end-to-end research workflows. It automates goal decomposition, parallel scientist agent execution, cross-validation of findings, and synthesis into a final report without requiring manual intervention between stages.
Parallel agent orchestration depends entirely on clear goals and stage definitions to decompose tasks effectively. Without access to a diverse set of agent models, the autonomous scientist teams cannot coordinate independent investigations or cross-validate findings for final synthesis.
jimmi2051Orchestrate parallel scientist agents to decompose research goals into stages and synthesize final reports.
charleshall888Dispatch parallel reviewer agents to synthesize objections into a structured critique.
aimentoraiFetch product data from MCP and generate curated Excel reports.
frankxaiCoordinate multi-agent collaboration using orchestration patterns like Sequential Pipeline and Parallel Fan-Out.
