What problem does it solve? Synthesizing verified, citation-backed analysis from scattered enterprise data (emails, meetings, Teams chats, files) is slow and error-prone, and unverified AI summaries risk fabricated claims. This Skill runs a structured multi-phase research pipeline that retrieves internal M365 data, triangulates claims across sources, and delivers validated reports. ## Core Features & Use Cases - Multi-Phase Research Pipeline: Executes Scope, Plan, Retrieve, Triangulate, Synthesize, Critique, Refine, and Package phases with four depth modes (quick, standard, deep, ultradeep). - Enterprise Data Retrieval: Runs parallel WorkIQ queries against Microsoft Graph to search emails, meetings, Teams messages, and documents. - Automated Validation: Verifies citations and runs 8 structural quality checks on every report before delivery. - Multi-Format Output: Generates Markdown, McKinsey-style HTML, and PDF reports saved to organized folders. - Use Case: Ask for a comprehensive analysis of program risks, and receive a verified report with an executive summary, cited findings, and a complete bibliography. ## Quick Start Use deep research to analyze the current status and top risks of my program based on this week's emails and meetings.