Skills

Fsi Strip Profile

Creates professional investment banking strip profiles (company profiles) for pitch...

Install

npx skills add AI4Finance-Foundation/FinRobot --skill fsi-strip-profile -g -a claude-code -y
Category
Documents
Updated
11d ago
License
Apache-2.0
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Creates professional investment banking strip profiles (company profiles) for pitch books, deal materials, and client presentations. Generates 1-4 information-dense slides with quadrant layouts, charts, and tables.

Workflow

1. Clarify Requirements

  • Ask the user: Single-slide or multi-slide (3-4 slides)?
  • Ask the user: Any specific focus areas or topics to emphasize?
  • Only after user confirms, proceed to research

2. Research & Planning

Data Sources:

  • Primary: Company filings (BamSEC, SEC EDGAR - "Item 1. Business", MD&A), investor presentations, corporate website
  • Market data: Bloomberg, FactSet, CapIQ (price, shares, market cap, net debt, EV, ownership)
  • Estimates: FactSet/CapIQ consensus for NTM revenue, EBITDA, EPS
  • News: Press releases from last 90 days, M&A activity, guidance changes

Required Metrics:

  • Financials: Revenue, EBITDA, margins (%), EPS, FCF for ±3 years
  • Valuation: Market Cap, EV, EV/Revenue, EV/EBITDA, P/E multiples
  • Growth: YoY growth rates (%)
  • Ownership: Top 5 shareholders with % ownership
  • Segments: Product mix and/or geographic mix (% breakdown)

Normalization:

  • Convert all amounts to consistent currency
  • Scale consistently ($mm or $bn throughout, not mixed)

Before Building:

  • Print outline to chat with 4-5 bullet points per item (actual numbers, no placeholders)
  • Print style choices: fonts, colors (hex codes), chart types for each data set
  • Get user alignment: "Does this outline and visual strategy align with your vision?"

3. Slide-by-Slide Creation

CRITICAL: You MUST create ONE slide at a time and get user approval before proceeding to the next slide.

Read the whole SKILL.md on GitHub

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