internet-deep-orchestrator

Internet research benefits from orchestrating parallel specialist agents across diverse sources to ensure breadth and depth. This Skill coordinates a 7-phase RBMAS workflow (SCOPE, PLAN, RETRIEVE, TRIANGULATE, DRAFT, CRITIQUE, PACKAGE) spawning 3-7 agents to gather information, apply quality gates, and deliver a traceable, cited report.

Multi-agent orchestration coordinates specialized agents—web researchers, academic researchers, search specialists, and fact-checkers—working in parallel on distinct research dimensions. This approach ensures source diversity, reduces bias, and produces comprehensive findings with enforced quality validation at each phase.

Quality gates validate citation density, source diversity, and gap detection throughout the research process. A structured 7-phase workflow with fact-checker agents enforces rigor, cross-references findings across multiple sources, and documents methodology so results remain traceable and defensible.

Phase-driven workflows organize complex research into discrete stages: scoping the inquiry, planning research strategy, retrieving sources, triangulating findings, drafting analysis, critiquing results, and packaging deliverables. This structure enables iterative refinement and quality validation at each step.

Single searches often miss sources and perspectives. Coordinated research deploys multiple specialist agents in parallel across research dimensions, enforces quality gates, triangulates conflicting sources, and produces a final report with executive summary and full bibliography—suitable for inquiries requiring depth, breadth, and rigor.

For complex inquiries spanning multiple domains, specialist agents—each trained for web research, academic sources, specialized search, or fact-checking—reduce gaps and blind spots. Parallel execution accelerates coverage while mandatory fact-checking and quality gates ensure no dimension is overlooked.