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deal-screening Skill

AI Agent SkillPythonOpen source

Quickly screen inbound deal flow — CIMs, teasers, and broker materials — against the fund's investment criteria. Extracts key deal metrics, runs a pass/fail framework, and outputs a one-page screening memo. Use when reviewing new deal flow, triaging inbound materials, or deciding whether to take a first call. Triggers Published by anthropics in financial-services.

What is deal-screening Skill?

Quickly screen inbound deal flow — CIMs, teasers, and broker materials — against the fund's investment criteria. Extracts key deal metrics, runs a pass/fail framework, and outputs a one-page screening memo. Use when reviewing new deal flow, triaging inbound materials, or deciding whether to take a first call. Triggers 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
  • Developers using financial-services

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use deal-screening Skill

  • Use it for developers using financial-services.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: anthropics
  • Repository: anthropics/financial-services
  • Skill file: plugins/vertical-plugins/private-equity/skills/deal-screening/SKILL.md

What it does

Quickly screen inbound deal flow — CIMs, teasers, and broker materials — against the fund's investment criteria. Extracts key deal metrics, runs a pass/fail framework, and outputs a one-page screening memo. Use when reviewing new deal flow, triaging inbound materials, or deciding whether to take a first call. Triggers

Skill instructions

Deal Screening Workflow Step 1: Extract Deal Facts From the provided CIM, teaser, or description, extract: - Company: Name, location, sector/subsector - Description: What they do (1-2 sentences) - Financials: Revenue, EBITDA, margins, growth rate - Deal type: Platform, add-on, recap, minority, carve-out - Asking price / valuation: Multiple, enterprise value if stated - Seller motivation: Why selling now - Management: Rolling or exiting - Key customers: Concentration risk - Key risks: Obvious red flags Step 2: Screen Against Criteria Apply the fund's investment criteria (ask user if not known): | Criterion | Target | Actual | Pass/Fail | |-----------|--------|--------|-----------| | Revenue range | | | | | EBITDA range | | | | | EBITDA margin | | | | | Growth profile | | | | | Sector fit | | | | | Geography | | | | | Deal size / EV | | | | | Valuation (x EBITDA) | | | | | Customer concentration | | | | | Management continuity | | | | Step 3: Quick Assessment Provide a 3-part assessment:

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Frequently asked questions

What is deal-screening?

deal-screening is a open-source AI agent skill with Copy skill directory. Quickly screen inbound deal flow — CIMs, teasers, and broker materials — against the fund's investment criteria.

Who is deal-screening best for?

deal-screening is best for reusing agent instructions, scripts, and references.

How do I install deal-screening?

Install or run deal-screening using Copy skill directory. Check deal-screening for the latest setup command.

Is deal-screening actively maintained?

deal-screening 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

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