sciomc

Orchestrate parallel scientist agents for research workflows with AUTO mode.

Updated Mar 11, 2025

Search Tags:#parallel processing #data analysis #research automation #AI research #research management

Ready to run

npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill sciomc-mohammedsaudalsahli

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sciomc
Source: https://github.com/MohammedSaudAlsahli/dotfiles/tree/main/ai/agents-skills/sciomc
Command: npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill sciomc-mohammedsaudalsahli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates and orchestrates complex research workflows, breaking down research goals into parallel investigations and managing the entire process with AUTO mode for autonomous execution.

Core Features & Use Cases

Parallel Scientist Agents: Orchestrate parallel scientist agents for comprehensive research.
AUTO Mode: Fully autonomous execution of research workflows.
Research Protocol: Detailed steps for decomposition, execution, verification, and synthesis of research goals.
Session Management: Track and manage research sessions with state and progress details.
Tag Extraction: Extract structured tags for findings and evidence.
Report Generation: Generate comprehensive research reports with visualizations and findings.

Quick Start

Run the sciomc skill with your research goal: /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 complex research workflows with parallel processing?▼

Automate research workflows by orchestrating parallel scientist agents that decompose research goals into parallel investigations. AUTO mode enables fully autonomous execution, handling decomposition, execution, verification, and synthesis to generate comprehensive reports.

What is AUTO mode for autonomous research management?▼

AUTO mode is a fully autonomous execution setting for research workflows. It manages the entire research protocol automatically, breaking down goals, running parallel scientist agents, verifying findings, and synthesizing comprehensive reports without manual intervention.

How do I generate comprehensive research reports with structured evidence tags?▼

Generate comprehensive research reports by running parallel investigations that extract structured tags for findings and evidence. The synthesis process compiles verified findings, visualizations, and structured data into a final report automatically.

Can I track research session state and progress during parallel investigations?▼

Yes, research session management tracks state and progress details throughout parallel investigations. The system monitors decomposition, execution, verification, and synthesis phases, maintaining session state for autonomous research workflows.

What is the best way to decompose research goals into parallel scientist agents?▼

The best way to decompose research goals is using an automated research protocol that breaks objectives into parallel investigations. Parallel scientist agents execute decomposed tasks concurrently, followed by verification and synthesis of all findings.

Do I need any dependencies to run autonomous research workflows?▼

No external dependencies are required to run autonomous research workflows. The system operates independently using built-in scripts, references, and assets to orchestrate parallel scientist agents and generate comprehensive research reports.