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Skills/Backend & APIs
alirezarezvani avatar

Caio Review

alirezarezvani/claude-skills

Pressure-tests AI plans across model selection, regulatory compliance, cost economics, and team structure. Use before shipping any AI feature, committing to AI infrastructure, or hiring AI roles—especially for EU launches or regulated domains.

skills.sh installs
378
GitHub stars
29.5K
last updated
Aug 21, 2026
View on GitHubSave

Install

$ npx -y skills add alirezarezvani/claude-skills --skill caio-review --agent claude-code

Installs into .claude/skills of the current project.

Files

/c-level-agents:caio-review — CAIO Forcing Questions

Command: /c-level-agents: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
  • Edge cases: ambiguous, adversarial, format-edge
  • If you can't write down what "good" looks like, you don't have a feature; you have a vibe.
SKILL.md on GitHub

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Details

Repository
github.com/alirezarezvani/claude-skills
Categories
Backend & APIs, Git & Pull Requests, Code Review & Quality, Productivity & Planning
First seen
Jun 3, 2026

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