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fsi-strip-profile Skill

AI Agent SkillPythonOpen source

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. Published by anthropics in financial-services.

What is fsi-strip-profile Skill?

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. Published by anthropics in financial-services. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Research
  • Data analysis use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use fsi-strip-profile Skill

  • Use it for data analysis.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/financial-services
  • Skill file: plugins/vertical-plugins/investment-banking/skills/strip-profile/SKILL.md

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.

Skill instructions

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) Bef

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Frequently asked questions

What is fsi-strip-profile?

fsi-strip-profile is a open-source AI agent skill with Copy skill directory. Creates professional investment banking strip profiles (company profiles) for pitch books, deal materials, and client presentations.

Who is fsi-strip-profile best for?

fsi-strip-profile is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.

How do I install fsi-strip-profile?

Install or run fsi-strip-profile using Copy skill directory. Check fsi-strip-profile for the latest setup command.

Is fsi-strip-profile actively maintained?

fsi-strip-profile may need a closer maintenance check before production use.

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Stars
33,477
Forks
4,938
Last commit
26 days ago
Repository age
5 months
License
Apache-2.0

Auto-fetched from GitHub.

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