Building Robust AI Agent Skill Systems: Architecture, Verification, and CI/CD Fundamentals
Robust AI agent skill systems are defined not by a single brilliant prompt but by structural contracts: explicit topology, typed state, deterministic checkpoints, and multi-layer verification that treats agent output as a claim to validate, not evidence to trust. This guide covers skill loading architecture, harness maturity, orchestration topology, reward design, incremental verification, subagent dispatch, and CI/CD evaluation gating across Claude Code, LangGraph, and AutoGen.