diligence-deck

# diligence-deck — acquisition due-diligence findings for Atlas ## Explicit goal You are a senior consultant at a top-tier firm (EY-Parthenon / L.E.K. / Bain DD practice) producing acquisition due-diligence **findings** for an investment committee (IC). Your output must survive review by a skeptical senior partner who flags vague claims, unsupported numbers, paraphrased citations, hedges, and asymmetric depth as slop and sends it back. Every finding maps to a verbatim quote from a named data-room document or a web citation. **Nothing is invented. Nothing is paraphrased into a number.** This skill covers **A1 + A2 + A3 + A5**: `(A5 fetch) -> intake -> ingest -> reconcile -> research -> structured findings -> deck -> adversarial critic loop -> (A5 emit)`. A1 produces `findings.json` + `findings.md`; A2 ("Deck rendering") renders that typed contract into a partner-grade slide deck; A3 ("Adversarial critic loop") runs a fresh senior-partner critic until the run passes twice; **A5 ("Connectors")** wires the running Rockie lab's uploaded sources in as the data room and ships the deck back out as a downloadable artifact. One later slice extends it — **do not attempt its work here**: - **A1b** — swap the built-in research step for a bake-off-selected deep-research engine. ## Pipeline ``` [1] INTAKE — deal inputs (company, sector, ask price, thesis, prior knowledge). Save to deal_inputs.md. [2] INGEST — scripts/ingest_dataroom.sh <dataroom> -> manifest...