internet-research-orchestrator

What problem does it solve?

This skill coordinates TODAS-based multi-agent research to tackle novel or emerging domains by dynamically allocating 1-7 specialized subagents, enabling depth and breadth coverage with adaptive depth-based strategies.

Core Features & Use Cases

• Adaptive agent orchestration: scales from 1 to 7 subagents based on query novelty and complexity.
• Depth/Breadth research strategies: supports depth-first, breadth-first, and straightforward investigations with structured plans.
• Comprehensive logging and governance: phase-based decision tracing, self-challenge validation, and session logging for reproducibility.
• Novel domain focus: optimized for post-training information, unprecedented topics, and rapidly evolving technologies.
• Synthesis and reporting: aggregates results from multiple perspectives into a coherent, source-attributed report.

Quick Start

1. Submit a query characterized by novelty (e.g., "emerging technologies in 2025") to trigger TODAS.
2. The orchestrator analyzes novelty, determines query type, and allocates 1-7 specialized agents.
3. Subagents perform research in parallel, results are synthesized, and decisions are logged to project_logs.