Research System

Orchestrate multi-LLM research pipelines with provenance-tracked guidance for property analysis.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Norfolk-Group/H-Analytics --skill research-system-norfolk-group
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Research System
Source: https://github.com/Norfolk-Group/H-Analytics/tree/main/.claude/skills/research
Command: npx skills add https://github.com/Norfolk-Group/H-Analytics --skill research-system-norfolk-group

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Research System provides market-validated guidance for every financial assumption in the simulation. It orchestrates an 11-layer multi-LLM pipeline with deterministic tools, post-LLM validation, and badge-driven guidance to keep models honest and actionable.

Core Features & Use Cases

  • 11-layer architecture coordination (N+1 synthesis, API validation, Opus synthesis) delivering structured guidance.
  • In-context context packs (PropertyContextPack, CompanyContextPack) and 3-tier badge display (seed/ai/market) for real-time decision support.
  • Guidance extraction and storage pipelines (25+ keys, assumption_guidance, Pinecone indexing) enabling cross-property benchmarking and rapid decision-making.
  • Global event types: property research, company research, and global market research with confidence scoring and provenance.

Quick Start

Run a research workflow from the Property Edit page by clicking "Run Research"; the system will fetch market data, assemble the context, run the orchestration pipeline, validate outputs, and surface AI-assisted guidance.

Frequently Asked Questions about Research System

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

FAQPage Schema
How do I automate property market research for hospitality asset analysis?

You can automate market research for hospitality assets by triggering the research workflow, which orchestrates multi-LLM pipelines and deterministic tools to fetch data, assemble context, and deliver validated guidance with confidence scores.

What is multi-LLM orchestration for market intelligence?

Multi-LLM orchestration for market intelligence coordinates an 11-layer pipeline involving N+1 synthesis, API validation, and Opus synthesis to deliver structured guidance with provenance-tracked citations and confidence scores.

How do I validate financial assumptions using AI-assisted market research?

Validate financial assumptions by applying post-LLM validation and badge-driven guidance to your simulation, using real-time market data and provenance-tracked citations to keep models honest and actionable.

Can I track provenance and confidence scores for AI-generated market research?

Yes, provenance and confidence scores are tracked automatically through badge-driven guidance, source citations, and structured outputs designed to deliver auditable recommendations for decision-making.

Does market research orchestration work for cross-property benchmarking?

Yes, market research orchestration supports cross-property benchmarking through guidance extraction and storage pipelines that index 25+ keys in Pinecone, enabling rapid comparison across multiple property contexts.