AI Skills

Build AI products that survive production

A curated track through the skills for shipping AI features that hold up under real use: specs, evals, agents, RAG, guardrails, testing, and observability. Each one names the hard part a generalist misses, not just the steps.

Two learning paths

Start here if you want a sequence rather than a menu. Same skill library, ordered for the job you actually have.

For engineers

Spec → Prototype → Eval → Deploy → Monitor

For product managers

Market → Adoption → Health → Cost → Governance

The skills, by phase

The full AI-building set, grouped by where it sits in the lifecycle. Click any skill for the full process.

Spec & plan

Decide why AI, which model, and what good looks like before any code.

AI Product Spec

Spec the feature: why-AI gate, model requirements, prompt architecture, cost, guardrails.

Multi-Model Strategy

Match models to jobs; route by cost, quality, and latency instead of defaulting to one.

Build

Get it working: prototype, the agent loop, and grounding in your own data.

AI Prototype Guide

Stand up a working version fast with AI coding tools.

AI Agent Design

Multi-step agents: tool surface, loop and termination, state, failure recovery.

RAG Implementation

Ground the model in your documents: RAG vs fine-tune vs long context, chunking, retrieval evals.

Evaluate & harden

Define quality, test the system, and defend it against misuse.

AI Eval Design

Rubric, golden dataset, pass bar, and hard-fails. What good means, made measurable.

AI Testing Strategy

The testing pyramid, regression suites, red-teaming, and deploy gates.

AI Guardrails Design

Layered input validation, output filtering, and abuse detection.

Ship & monitor

Watch quality and cost in production, because neither throws an error.

LLM Observability Plan

Quality metrics, logging, cost-reduction playbook, drift detection, A/B in prod.

Assess & govern

Diagnose AI readiness and set the limits before scale forces them.

AI Adoption Evaluator

Assess whether and how AI actually gets used.

AI Health Check

Run an AI Health Indicator assessment.

AI Maturity Assess

Individual AI maturity self-assessment.

AI Maturity (Org)

Organizational AI maturity assessment.

Looking for something else?

These are the AI-building skills. The full library covers product management, engineering, design, facilitation, and research too.

Browse all skills