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lead-ai-transformation

Leads enterprise AI transformation—platform engineering, hiring AI teams, ROI via eval frameworks, values-based investment review, and safe adoption patterns.

Skill by hiteshbandhu

IndexedMIT★ 2
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/hiteshbandhu-lead-ai-transformation

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Leads enterprise AI transformation—platform engineering, hiring AI teams, ROI via eval frameworks, values-based investment review, and safe adoption patterns. Use when a VP/Director plans AI platform teams, enterprise LLM ROI, hiring, or governance at AI Engineer World's Fair 2024 leadership sessions.

Use cases: ml, sales

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/lead-ai-transformation

What's inside

Skill name
lead-ai-transformation
Description
Leads enterprise AI transformation—platform engineering, hiring AI teams, ROI via eval frameworks, values-based investment review, and safe adoption patterns. Use when a VP/Director plans AI platform teams, enterprise LLM ROI, hiring, or governance at AI Engineer World's Fair 2024 leadership sessions.
License
MIT
Instructions
51 lines in SKILL.md · view on GitHub

Files (4)

  • README.md
  • SKILL.md
  • source-index.md
  • workflows.md

SKILL.md (first lines)

# Lead AI transformation

Action playbook from seven AIEWF 2024 leadership talks. **Do not summarize** — pick a workflow.

**Supporting files:** [workflows.md](workflows.md) · [source-index.md](source-index.md)

Optional: `./skill-outputs/lead-ai-transformation/`

---

## Step 0 — Pick workflow

```
What is the user trying to do?
├─ Stand up internal AI platform / paved road          → ai-platform
├─ Hire and structure AI engineering teams             → hiring-teams
├─ Prove enterprise ROI with evals                     → roi-evals
├─ Executive values / capex decisions (E-values)       → values-governance
├─ Enterprise stack (Cohere-class retrieval)           → enterprise-stack
└─ Safe adoption (assistive vs autonomous agents)      → safe-adoption
```

---

## Install

```bash
cp -r skills/lead-ai-transformation ~/.cursor/skills/
```

Source: `playlists/ai-leadership-aie-world-s-fair-2024/`.

---

## Cross-cutting rules

| Rule | Source |
|------|--------|
| Evaluation is core to ROI narrative, not dashboards alone | [src-003 @ 0:09:26] |
| Hire for eval + data literacy early | [src-002 @ 0:07:19] |
| Consolidate POC stacks into platform before sprawl | [src-001 @ 0:06:02] |
| Prefer assistive AI in enterprise until readiness | [src-005 @ 0:04:03] |
| Board-level AI bets need values + economics, not MMLU | [src-004 @ 0:06:30] |

---

## Output

Name workflow; artifacts under `./skill-outputs/lead-ai-transformation/` when requested.

From hiteshbandhu/skills-i-use, MIT.

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Last commit (this folder)
May 25, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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lead-ai-transformation skill. Agent Mart. https://agentmart.dev/skills/hiteshbandhu-lead-ai-transformation (last updated 2026-10-24)