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ai-readiness Skill

AI Agent SkillPythonOpen source

Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time. Ingests quarterly updates and financials across multiple portfolio companies, identifies quick wins at each, and stacks them into a single ranked action list. Use during quarterly portfolio reviews, annual plan Published by anthropics in financial-services.

What is ai-readiness Skill?

Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time. Ingests quarterly updates and financials across multiple portfolio companies, identifies quick wins at each, and stacks them into a single ranked action list. Use during quarterly portfolio reviews, annual plan 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
  • Database workflows
  • Deployment
  • Data analysis
  • Database workflows use cases
  • Deployment use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use ai-readiness Skill

  • Use it for database workflows.
  • Use it for deployment.
  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

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

What it does

Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time. Ingests quarterly updates and financials across multiple portfolio companies, identifies quick wins at each, and stacks them into a single ranked action list. Use during quarterly portfolio reviews, annual plan

Skill instructions

Portfolio AI Readiness Workflow Step 1: Connect to Portfolio Data First, ask the user where the portfolio materials live. Don't assume — offer the options: - MCP servers — data room, SharePoint, Google Drive, or a portfolio-ops database if one is connected - Local files — a folder path on disk with quarterly decks, financials, board packs - File uploads — drag PDFs, PowerPoint, or Excel directly into the conversation Once connected, pull quarterly updates, board decks, and financials for the portfolio (or a subset). For each company, extract: sector, revenue, headcount by function, tech stack mentioned, and any AI/automation initiatives already in flight. If the user provides a single company, still run the scan but skip the cross-portfolio ranking. Ask up front if not obvious from materials: - Hold period remaining per company (AI payback matters less 12 months from exit) - Whether any portco has already deployed something that worked Step 2: Per-Company Scan For each company, answer

Explore related resources

Frequently asked questions

What is ai-readiness?

ai-readiness is a open-source AI agent skill with Copy skill directory. Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time.

Who is ai-readiness best for?

ai-readiness is best for reusing agent instructions, scripts, and references, database workflows, deployment workflows, data analysis workflows.

How do I install ai-readiness?

Install or run ai-readiness using Copy skill directory. Check ai-readiness for the latest setup command.

Is ai-readiness actively maintained?

ai-readiness may need a closer maintenance check before production use.

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

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