sciomc

Orchestrate parallel scientist agents to execute multi-stage research workflows.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/ClementATH/oh-my-claudecode --skill sciomc-clementath
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sciomc
Source: https://github.com/ClementATH/oh-my-claudecode/tree/main/skills/sciomc
Command: npx skills add https://github.com/ClementATH/oh-my-claudecode --skill sciomc-clementath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates complex research workflows by coordinating multiple scientist agents to explore hypotheses in parallel, accelerating discovery and ensuring thorough verification.

Core Features & Use Cases

  • Decomposition: break a research goal into independent stages that can run concurrently.
  • Parallel Execution: dispatch multiple agents to run stages in parallel, then synchronize results.
  • Verification & Synthesis: cross-validate findings and generate a comprehensive report; supports AUTO mode for autonomous execution.

Quick Start

Start a new sciomc session with your research goal, e.g., '/oh-my-claudecode:sciomc <goal>'.

Frequently Asked Questions about sciomc

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate multi-stage research workflows with parallel agents?▼

Parallel scientist agents decompose complex research goals into independent stages, run investigations concurrently, cross-validate findings, and synthesize comprehensive reports for automated research workflows.

What is the best way to decompose complex research goals into parallelizable stages?▼

Explicit stage decomposition breaks complex research goals into independent concurrent investigations, dispatching multiple agents to run stages in parallel and synchronizing cross-validated findings into a synthesized report.

Can I run autonomous parallel investigations without manual intervention?▼

Yes, the optional AUTO mode enables autonomous execution of parallel scientist agent investigations, allowing multi-stage research goals to run without manual intervention while maintaining cross-validation and comprehensive report synthesis.

How does cross-validation work when running parallel research agents?▼

Cross-validation in parallel research agent orchestration synchronizes independent agent findings and cross-checks them before synthesis, enforcing guardrails for safe, auditable execution and accurate verification of multi-stage research results.

Are there guardrails for safe and auditable execution in automated research orchestration?▼

Automated research orchestration enforces guardrails for safe, auditable execution through explicit stage decomposition, cross-validation of parallel agent findings, and session management to ensure verified synthesis of comprehensive reports.