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AI Agent Engineering Playbook

🔨 主要內容(Main content)

  • 提供 AI coding agents 重複使用的工程技能(engineering skills)。
  • 這個 repository 收錄常見工程與 agent runtime skills,並依用途分成 contract boundaries、delivery practices、application engineering、operational hardening,以及 runtime governance。

📂 結構(Repository Structure)

ai-agent-engineering-playbook/
  skills-application-engineering/
  skills-contract-boundaries/
  skills-delivery-practices/
  skills-operational-hardening/
  skills-runtime-governance/
  • skills-application-engineering/
    • 用於日常 application implementation。涉及 Node.js/TypeScript service、CLI、async workflow、module boundary、frontend component、layout、interaction state、responsive behavior 或 accessibility。
  • skills-contract-boundaries/
    • 用於設計或修改跨邊界 contract。涉及 API/interface design、BFF transport、frontend streaming events、LangGraph backend contracts、tool result rendering、schema、type boundary、error envelope 或 versioned payload。
  • skills-delivery-practices/
    • 用於控制實作節奏與品質。包含 code review、debugging、root-cause analysis、incremental implementation、test-driven development、bug reproduction 或 regression checks。
  • skills-operational-hardening/
    • 用於強化 production readiness。包含 observability、logging、metrics、tracing、health checks、performance optimization、latency、memory、security hardening、auth、secrets、file uploads 或 privileged actions。
  • skills-runtime-governance/
    • 用於 agent runtime 與長流程治理。若任務涉及 agent state machine、runtime boundary review、context budget、retry policy、idempotency、distributed locking、compensation/saga 或 runtime fault tolerance,可先看這一類。
  • 每個 skill 都包含一個 SKILL.md,內容只保留可移植的 guidance。Project-specific paths、product names、internal workflows、credentials 與 private examples 都已移除。

如何使用(Usage)

  • 將需要的 skills-* 分類目錄複製到支援 skill discovery 的 agent environment,或依需求複製個別 skill folders。
  • 這些 skills 可作為 engineering guardrails 使用。它們不取代 project-specific rules、API contracts、security policies 或 verification requirements。

授權(License)

  • MIT。請見 LICENSE

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🔨Reusable personal Agent Skills and practice-backed Q&A for AI Agent engineering, runtime reliability, multi-agent systems, evaluation, and AI-native frontend.

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