fsi-strip-profile

Generate investment banking strip profile slides with PptxGenJS from SEC filings.

31|4|Updated Jun 13, 2026
One-click install
npx skills add https://github.com/r9412460971-cloud/OPC-skill --skill fsi-strip-profile-r9412460971-cloud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fsi-strip-profile
Source: https://github.com/r9412460971-cloud/OPC-skill/tree/main/skills/strip-profile
Command: npx skills add https://github.com/r9412460971-cloud/OPC-skill --skill fsi-strip-profile-r9412460971-cloud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the hours of manual work, inconsistent formatting, and repeated quality checks required to create professional investment banking strip profiles for pitch books, deal materials, and client presentations, which are critical for winning mandates and communicating company value to stakeholders.

Core Features & Use Cases

  • Automated Slide Generation: Creates 1-4 information-dense slides with quadrant layouts, charts, and tables that meet top-tier investment bank (Goldman Sachs, Morgan Stanley, JPMorgan) presentation standards.
  • Integrated Data Workflow: Aggregates and normalizes data from company SEC filings, market data providers, and consensus estimates, ensuring consistent currency scaling and metric formatting across all slides.
  • Rigorous Quality Validation: Enforces mandatory visual review steps to catch text overlap, cutoff, and layout bleeding, with automatic fixes and user approval gates before finalizing each slide.
  • Use Case: An investment banker preparing a client pitch can use this Skill to generate a polished, data-rich strip profile for a target company in a fraction of the time it would take to build manually, with guaranteed visual and data quality.

Quick Start

Use the fsi-strip-profile skill to generate a 1-slide strip profile for Tesla, Inc. (TSLA) including company overview, business positioning, key financials, and 1-year stock performance.

Frequently Asked Questions about fsi-strip-profile

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate investment banking strip profiles for pitch books?

Generating investment banking strip profiles for pitch books is automated by creating 1-4 information-dense slides with quadrant layouts, normalized financial metrics, and brand-aligned formatting. It aggregates data from SEC filings and market providers to meet top-tier presentation standards.

What is an IB strip profile and when do I need it for deal materials?

An IB strip profile is an information-dense slide layout used in deal materials and client presentations to communicate company value. You need it when preparing pitch books for public or private companies, requiring normalized financial metrics and strict visual quality checks.

Can I create pitch book slides with PptxGenJS and ensure layout integrity?

Yes, you can create pitch book slides using PptxGenJS-based generation that enforces strict quality checks for layout integrity. The workflow validates text overflow, cutoffs, and layout bleeding, applying automatic fixes and user approval gates before finalizing each slide.

How do I normalize financial metrics from SEC filings for a company profile?

To normalize financial metrics from SEC filings for a company profile, the automated data workflow aggregates consensus estimates and market data. This ensures consistent currency scaling and metric formatting across all generated slides for public and private companies.

Does automated slide generation work for both public and private companies?

Yes, automated slide generation works for both public and private companies. It aggregates and normalizes data from SEC filings, market data providers, and consensus estimates to generate professional strip profiles suitable for various investment banking workflows.

Why does text overlap and cutoff occur in financial presentations and how is it fixed?

Text overlap and cutoff occur in financial presentations when dense data exceeds layout boundaries. The generation process enforces mandatory visual review steps to catch these layout bleeding issues, applying automatic fixes and requiring user approval before finalizing slides.