internet-deep-orchestrator
CommunityCoordinate 7-phase RBMAS research.
Education & Research#quality gates#multi-agent orchestration#specialist agents#internet research#phase-driven workflow#RBMAS
Authorahmedibrahim085
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill resolves the complexity of conducting high-quality internet research by coordinating a seven-phase RBMAS workflow with multiple specialist subagents, ensuring depth, breadth, and traceability.
Core Features & Use Cases
- Seven-phase RBMAS workflow (SCOPE → PLAN → RETRIEVE → TRIANGULATE → DRAFT → CRITIQUE → PACKAGE) to organize complex investigations.
- Parallel spawning of 3-7 agents (e.g., web-researcher, academic-researcher, search-specialist, fact-checker) to gather diverse sources in parallel.
- Quality gates including citation density, source diversity, and gap detection to verify findings.
- Final packaged report with executive summary, bibliography, and documented methodology.
Quick Start
Initiate a 4+ dimension internet research task, spawn the necessary subagents, and follow the seven RBMAS phases to deliver a comprehensive report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: internet-deep-orchestrator Download link: https://github.com/ahmedibrahim085/Multi-Agent-Research-System/archive/main.zip#internet-deep-orchestrator Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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