Skills for Real Engineers. Straight from my .agents directory.
39 skills
chief-ai-officer-advisor
Agent skill from
Use for AI strategy decisions: API vs fine-tune vs build, EU AI Act or US state risk classification, when self-hosting pays off, or AI hiring order. Runs model_buildvsbuy_calculator.py, ai_risk_classifier.py and ai_cost_economics.py.
How to install chief-ai-officer-advisor
install chief-ai-officer-advisor
# install the claude-skills pack with the skills CLI
npx skills add alirezarezvani/claude-skills# or add only this skill to Claude Code: copy the folder
c-level-advisor/skills/chief-ai-officer-advisor/
# into
~/.claude/skills/chief-ai-officer-advisor/ (all projects)
.claude/skills/chief-ai-officer-advisor/ (one project)
1# Chief AI Officer Advisor23Strategic AI leadership for startup CAIOs and founders without one. **Four decisions, no AI hype:**451. **Should we use an API, fine-tune, or build our own?** — model build-vs-buy with 3-year TCO62. **Is this AI use case high-risk under regulation, and how do we govern it?** — EU AI Act + NIST AI RMF + US state patchwork73. **When do we switch from API to self-hosted, and at what cost?** — token economics with breakeven analysis84. **What AI role do we hire next?** — stage-to-role map (AI engineer ≠ ML engineer ≠ research scientist)910This skill does **not** cover tactical AI/ML engineering. For RAG implementation, agent design, prompt engineering, eval infrastructure, model deployment, or cost optimization, see `engineering/rag-architect/`, `engineering/agent-designer/`, `engineering/prompt-governance/`, `engineering/self-eval/`, `engineering/llm-cost-optimizer/`.1112## Keywords13…
Excerpt shown under the repository's MIT license.
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