Agent skill · marketing growth · anthropics
ai-readiness
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 planning, or when deciding which companies get AI investment first. Triggers on "AI readiness", "AI opportunity scan", "where should we deploy AI", "AI across the portfolio", "AI quick wins", or "which portcos are ready for AI".
Why this skill is useful
Provides a structured framework for identifying and ranking AI opportunities across portfolio companies, which the AI wouldn't generate on its own.
What it needs
About 4k tokens when loaded. Last updated 2026-08-04. 34,059 stars on the source repository.
What this skill does
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 three gate questions. All three yes → Go. Any no → Wait with a note on what unblocks it. 1. Is the data there? Can they produce a clean input for the use case — customer list, invoice feed, contract repository — without a 6-month data project first? 2. Is there an owner? Someone on the management team who will drive this, not a sponsor who will "support" it. 3. Can we pilot in 30 days? One team, one workflow, off-the-shelf tooling. If the answer starts with "first we'd need to...", it's not a quick win. Then identify the top 2-3 leverage points. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills anthropics/ai-readiness