What problem does it solve? Producing a complete institutional credit memo requires pulling capital structure, financials, comps, and market pricing from many disconnected sources, then synthesizing them into a consistent format. This Skill orchestrates that entire workflow so analysts get a structured Quick-Cut memo without manually assembling each section. ## Core Features & Use Cases - Ten-Section Memo Orchestration: Produces Subject, The Trade, Capital Structure, Valuation & Entry Create, Business Overview, Financials, Comparable Company Analysis, Return Scenarios, Key Investment Considerations, and Company Background in a defined writing and output order. - Multi-Source Data Collection: Queries Nexus MCP, BigData.com, credit data providers, SEC EDGAR (XBRL and full-text search), internal document search, and web search in parallel, with a strict source hierarchy where uploaded materials override everything. - Confidence Calibration: Appends a mandatory calibrated confidence score with drivers, data gaps, and three-pass calibration for ambiguous cases. - Use Case: A credit analyst receives a CUSIP for a leveraged loan and asks for a Quick-Cut. The Skill resolves the issuer, pulls cap structure and pricing, drafts all sections, and delivers a memo with a confidence assessment and data-gap footer. ## Quick Start Ask the assistant to run a Quick-Cut credit memo on a company by name or security identifier, optionally attaching a CIM or financials for primary data.
