/cs:caio-review <plan> — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and self-hosted, or
Installs just this skill. Get the whole plugin for auto-invocation.
⚡ How it fires
How this skill gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/caio-review
👁️ Context preview
The summary Claude sees to decide when to auto-load this skill.
/cs:caio-review <plan> — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and self-hosted, or
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LicenseMIT
📦 Ships with claude-skills
</> SKILL.md
caio-review.SKILL.md
---name: "caio-review"
description: "/cs:caio-review <plan> — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and self-hosted, or classifying a use case under the EU AI Act."
---# /cs:caio-review — CAIO Forcing Questions
**Command:** `/cs:caio-review <plan>`
The eval-demanding CAIO pressure-tests any plan that involves AI. Six questions before any AI feature ships, any multi-year vendor commitment, or any AI team expansion.
## When to Run
- Before shipping any new AI-powered feature
- Before signing a multi-year AI vendor contract (API or self-hosted infra)
- Before EU launch of any AI feature
- Before a major AI team hire (especially ML engineer or research scientist)
- Before a fine-tuning project commitment
- Before adopting AI in a regulated domain (employment, credit, healthcare, education, etc.)
- When the founder uses the word "AI" near "competitive advantage" or "moat"
## The Six CAIO Questions
### 1. What does this AI need to be good at, and how would you measure it?
**No eval set = no ship.** Before any AI feature deploys, define the eval criteria.
- 50-100 representative inputs minimum
- Expected outputs OR rubric for grading
