Architecting Enterprise Agent Skills: A2A 1.0 Protocols, Context Engineering & Fail-Closed Multi-Agent Governance
Answer-first: Architecting enterprise agent skills packs transforms ad-hoc prompts into deterministic multi-agent swarms using a 4-layer prompt stack aligned with KV cache breakpoints, contract-first A2A 1.0 JSON-RPC protocols, and fail-closed policy engines. This case study details how @vesviet/agent-skills v5.7.2 achieves 85% cache hit rates, 70% token cost reduction, and zero-trust OWASP ASI01–10 security across 39 specialized principal engineering roles. Prerequisite: Advanced understanding of LLM context window mechanics (KV caching, prefix caching breakpoints), multi-agent architectures (A2A JSON-RPC 2.0 / SSE), JSON Schema Draft 2020-12, Policy-as-Code governance, and OWASP Top 10 for Agentic Applications 2026 (ASI01–ASI10). ...