ib-check-deck

Automating pitch deck quality control involves running a Python script that checks for number inconsistencies, validates data-narrative alignment, and scans for IB-standard language. It generates markdown output with slide-level attribution for identified issues.

Pitch deck data-narrative alignment checking verifies that narrative claims are supported by corresponding data. The Skill scans for inconsistencies where text statements lack matching numerical evidence across the presentation slides.

Yes, Python is required to execute the number checking script. The Skill depends on Python execution to identify numerical discrepancies across pitch deck slides and perform the core consistency validation logic.

Yes, the Skill includes a language polish feature that scans pitch decks to verify compliance with investment banking language standards. It identifies phrasing requiring refinement before client distribution.

Using an automated QC Skill to validate visual elements and formatting is the best way to review pitch decks. It ensures visual consistency and professionalism across all slides before client delivery.

Run a pitch deck consistency check immediately before sending the deck to a client. This final comprehensive review catches numerical discrepancies, narrative misalignments, and formatting issues.