Install
$ agentstack add skill-hiteshbandhu-skills-i-use-lead-ai-transformation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: hiteshbandhu
- Source: hiteshbandhu/skills-i-use
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.