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API 版本管理與向後相容性

設計能優雅演進且不破壞現有使用者的 API 版本化策略、棄用工作流程,以及標頭/URL/內容版本管理。

API 版本管理與向後相容性 是什麼?

此技能提供一套完整的 API 版本化與向後相容性策略,協助開發者在 API 演進過程中避免破壞現有的客戶端。它涵蓋多種版本化方法,包括 URL 路徑版本化(如 `/v2/`)、請求標頭版本化(如 `API-Version`)以及內容協商版本化(如 `application/vnd.myapi.v2+json`),並遵循 RFC 8594 標準的 Sunset 標頭來通知消費者舊版本的淘汰時間。技能設定明確的觸發條件,例如「API 版本化」、「向後相容性」、「中斷性變更」、「v1 v2」等,而對於資料結構演進或閘道路由等場景,則建議使用其他專門技能。核心能力包括決策樹:判斷變更是否僅為新增(安全)、修改(可能中斷)或移除(中斷),並據此選擇版本化策略;實作範例展示如何在 Express.js 中平行佈署多個版本,並透過中介層自動添加 Sunset 與 Deprecation 標頭。此外,該技能提醒常見的反模式,例如過早版本化、未設定淘汰時間、複製整個控制器邏輯,並提供了一份品質檢查清單,確保團隊在版本管理、監控、OpenAPI 規格發佈及消費者通知等方面都能符合最佳實務。

相容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/api-versioning-backward-compatibility

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

API 版本管理與向後相容性 是做什麼的?

設計能優雅演進且不破壞現有使用者的 API 版本化策略。

觸發條件

啟用於:「API 版本化」、「向後相容性」、「棄用」、「中斷性變更」、「API 遷移」、「v1 v2」、「sunset 標頭」、「API 演進」、「非中斷性變更」

不適用於: 資料結構演進 → schema-evolution-manager | 閘道路由版本化 → api-gateway-reverse-proxy-expert | GraphQL 棄用 → graphql-server-architect

快速入門

  1. 分類變更類型 — 新增(安全)、修改(可能中斷)、移除(中斷)
  2. 選擇策略 — URL 路徑(/v2/)、標頭(API-Version)或內容協商
  3. 實作 Sunset 標頭 — RFC 8594 告知消費者舊版本何時淘汰
  4. 平行佈署版本 — 主要版本至少重疊 6 個月
  5. 監控採用率 — 追蹤各版本流量,以決定何時淘汰

核心能力

領域技術
URL 版本化/api/v1/、/api/v2/ 路徑式路由
標頭版本化API-Version: 2024-01-15、Accept-Version
內容協商Accept: application/vnd.myapi.v2+json
棄用Sunset 標頭 (RFC 8594)、Deprecation 標頭
工具鏈OpenAPI 3.1 overlays、Optic、Bump.sh

架構模式

版本化策略決策樹

是否僅為新增?(新欄位、新端點)
  ├─ 是 → 不需版本 bump(向後相容)
  └─ 否 → 是否為欄位重新命名/型態變更?
       ├─ 是 → 能否同時保留新舊欄位?
       │    ├─ 是 → 新增新欄位,棄用舊欄位(次要版本)
       │    └─ 否 → 主要版本 bump(v1 → v2)
       └─ 否 → 是否為移除?
            └─ 是 → 主要版本 bump,並設定淘汰期間

平行版本佈署

// 使用基於版本路由的 Express 路由器
import { Router } from 'express';

const v1Router = Router();
const v2Router = Router();

// v1:回傳 { name: string }
v1Router.get('/users/:id', async (req, res) => {
  const user = await getUser(req.params.id);
  res.json({ name: user.fullName }); // 舊版格式
});

// v2:回傳 { firstName, lastName, displayName }
v2Router.get('/users/:id', async (req, res) => {
  const user = await getUser(req.params.id);
  res.json({
    firstName: user.firstName,
    lastName: user.lastName,
    displayName: user.fullName,
  });
});

app.use('/api/v1', v1Router);
app.use('/api/v2', v2Router);

// v1 的 Sunset 標頭中介層
v1Router.use((req, res, next) => {
  res.set('Sunset', 'Sat, 01 Nov 2026 00:00:00 GMT');
  res.set('Deprecation', 'true');
  res.set('Link', '</api/v2>; rel="successor-version"');
  next();
});

基於日期的版本化(Stripe 模型)

API-Version: 2026-03-15

變更綁定於日期,而非整數:
  2026-01-01 → 基準線
  2026-03-15 → 將 `name` 重新命名為 `display_name`
  2026-06-01 → 移除 `legacy_field`

伺服器將未指定版本的請求,固定使用帳戶的預設版本。
每個版本都是對標準內部模型的轉換層。

反模式

  1. 過早版本化 — 大多數變更都是新增,不需要版本 bump;應自由新增欄位
  2. 無淘汰時間表 — 棄用卻未設定具體停用日期,導致版本永久存在
  3. 複製整個控制器 — 應使用轉換/配接層,而非每個版本複製商業邏輯
  4. 忽略未知欄位 — API 應為寬容的讀取者;在輸入時忽略未知欄位(Postel 定律)
  5. 在次要版本中引入中斷性變更 — 只要使用者依賴了該功能,移除它就是中斷性變更,無論你的意圖為何

品質檢查清單

  • 新增變更(新欄位、新端點)不需版本 bump
  • 中斷性變更需要主要版本,並設定 6 個月以上的淘汰期間
  • 在已棄用版本上設定 Sunset 標頭(RFC 8594)
  • Link 標頭指向使用者的後續版本
  • 監控各版本流量以追蹤遷移進度
  • 每個版本發佈 OpenAPI 規格,並搭配差異比較工具(Optic/Bump.sh)
  • 使用者通知計畫:更新日誌、電子郵件、儀表板警告
  • 版本路由在閘道層級處理,而非應用程式程式碼中
  • 整合測試驗證向後相容性(契約測試)

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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