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Chief AI Officer Advisor

Advises on AI build-vs-buy, regulatory risk tiers, API-vs-self-hosted costs, and AI hiring for startups

Source Download skill
Repository
alirezarezvani/claude-skills
Stars
29,149
Licence
MIT
Files
8 files

What it does

This skill gives the agent a strategic advisor role for startups deciding how to use AI. It helps compare calling a model API, fine-tuning a smaller model, or building one in-house, using a 3-year cost comparison. It also helps classify an AI use case against EU AI Act and US state rules, estimate when self-hosting becomes cheaper than paying per token, and suggest which AI role to hire next. It is explicitly strategic and points engineering tasks like RAG or prompt work to other skills.

Great for

  • Founders or CTOs without a Chief AI Officer who need a structured first pass on AI strategy
  • Startup leaders weighing whether to self-host an open model to cut API bills
  • Teams wanting a rough regulatory risk screen before launching an AI feature in the EU or US

Skip it if

  • Legal compliance decisions: the classifier is described as not legal advice and should be reviewed by qualified AI counsel
  • Hands-on engineering work such as RAG, model deployment or eval infrastructure, which the skill says it does not cover
  • Precise cost forecasts: the calculators use built-in assumptions and sample data that may not match real GPU or vendor prices

Try asking

  • “Should we call a frontier API or fine-tune a smaller model for our customer support replies? Run the build-vs-buy analysis.”
  • “Classify our AI resume-screening tool under the EU AI Act and US state laws and list the required controls.”
  • “At 5 million tokens a day, when does self-hosting an open model beat our API bill?”
  • “What AI role should we hire next at our seed-stage startup: an AI engineer or an ML research scientist?”
Step-by-step guide: how to use Chief AI Officer AdvisorInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 8 original files, the MIT licence and an attribution note.

    chief-ai-officer-advisor.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip chief-ai-officer-advisor.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip chief-ai-officer-advisor.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Provide a JSON profile of your real use case or workload instead of relying on the embedded samples, since outputs depend on your inputs.
  • Treat regulatory classifications as a starting point and confirm them with qualified counsel before launch.
  • Check the GPU rate and token price assumptions in the scripts against current vendor pricing before relying on breakeven numbers.

What's inside

  • references/ai_cost_economics.md
  • references/ai_risk_governance.md
  • references/ai_team_org_evolution.md
  • references/model_buildvsbuy_strategy.md
  • scripts/ai_cost_economics.py
  • scripts/ai_risk_classifier.py
  • scripts/model_buildvsbuy_calculator.py
  • SKILL.md

Redistributed unmodified from alirezarezvani/claude-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.