ib-check-deck

To review an investment banking presentation for number consistency and formatting, run the ib-check-deck skill using Python scripts to extract data and analyze slide markers provided in markdown input.

Checking data-narrative alignment in a pitch deck involves verifying that claims are supported by data and maintaining narrative consistency across slides. This skill automates that process to ensure client-ready materials.

Python number extraction for investment banking presentation quality control works by processing markdown slide markers to identify conflicting values across slides and verify calculations within the PowerPoint add-in or chat environment.

Yes, you can use this presentation review tool directly within a PowerPoint add-in or chat interface. It processes markdown input with slide markers to check language quality and visual formatting.

Yes, you need to format your presentation as markdown with slide markers before processing. This skill requires markdown input to properly execute Python scripts for number extraction and language polish analysis.

An investment banking presentation review can detect visual formatting errors, missing citations, and formatting inconsistencies. It also checks language against investment banking standards to ensure high-quality materials.