geledek/enterprise-ai-transformation-skills

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# Enterprise AI Transformation Skills

Sixteen installable skills that help executives, operators, and consultants run enterprise AI transformation — from "where do we start?" to "is our agent governed correctly?" — distilled from 21 flagship research sources (Stanford, MIT, McKinsey, BCG, Deloitte, PwC, Accenture, NIST, EU AI Act, IMDA, WEF) published 2024–2026.

> **TL;DR.** 95% of enterprise GenAI pilots return zero P&L impact. The 5% that win don't have better models — they operate differently across **people, process, technology**, and a layer of **general** strategy/diagnostics. This skill library encodes those operating patterns. Each skill is a structured prompt the AI runs for you; you ask the question, the skill produces a board-ready output.

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## The four buckets (30 seconds)

Skills are grouped by what they fix. Pick the bucket that matches your problem; pick the skill inside it that matches the question.

| Prefix | What it covers | Use when… |
|---|---|---|
| `general-` | Cross-cutting strategy, selection, diagnosis | You don't yet know *which* layer is broken |
| `people-` | Leadership, workforce, frontline change | Tech works, value isn't landing |
| `process-` | Pilot design, productionization, observability | You have a candidate / a prototype / a portfolio |
| `tech-` | Stack, sourcing, data deployment, agent guardrails | You're choosing a vendor, a tier, a model, or governing an agent |

**The default order is general → process → tech → people**, but most real engagements jump around. The "Which skill when?" decision tree below does the picking for you.

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