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Api Versioning Strategy

Community
aj-geddes
api-versioning-strategy

Implement API versioning strategies including URL versioning, header versioning, backward compatibility, deprecation strategies, and migration guides. Use when dealing with API versions, deprecating endpoints, or managing breaking changes.

Overview

Publisheraj-geddes
Repositoryuseful-ai-prompts
Skill nameapi-versioning-strategy
Stars
340
Forks
55
Bundled files
14
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aj-geddes on GitHub. Read the source before you install it.

Installation

Install the Api Versioning Strategy AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aj-geddes/useful-ai-prompts.git /tmp/useful-ai-prompts
mkdir -p .claude/skills
cp -r /tmp/useful-ai-prompts/skills/api-versioning-strategy .claude/skills/api-versioning-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Api Versioning Strategy in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Api Versioning Strategy on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Api Versioning Strategy is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

API Versioning Strategy

Table of Contents

Overview

Comprehensive guide to API versioning approaches, deprecation strategies, backward compatibility techniques, and migration planning for REST APIs, GraphQL, and gRPC services.

When to Use

  • Designing new APIs with versioning from the start
  • Adding breaking changes to existing APIs
  • Deprecating old API versions
  • Planning API migrations
  • Ensuring backward compatibility
  • Managing multiple API versions simultaneously
  • Creating API documentation for different versions
  • Implementing API version routing

Quick Start

Minimal working example:

typescript
// express-router.ts
import express from "express";

const app = express();

// Version 1
app.get("/api/v1/users", (req, res) => {
  res.json({
    users: [{ id: 1, name: "John Doe" }],
  });
});

// Version 2 - Added email field
app.get("/api/v2/users", (req, res) => {
  res.json({
    users: [{ id: 1, name: "John Doe", email: "john@example.com" }],
  });
});

// Shared logic with version-specific transformations
app.get("/api/:version/users/:id", async (req, res) => {
  const user = await userService.findById(req.params.id);

  if (req.params.version === "v1") {
    res.json({ id: user.id, name: user.name });
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
Versioning ApproachesVersioning Approaches
Backward Compatibility PatternsBackward Compatibility Patterns
Deprecation StrategyDeprecation Strategy
Migration Guide ExampleMigration Guide Example
Response StructureResponse Structure
Date FormatDate Format, Error Format
JavaScript/TypeScriptJavaScript/TypeScript, Python
GraphQL VersioningGraphQL Versioning
gRPC VersioninggRPC Versioning
Version Detection & RoutingVersion Detection & Routing
Testing Multiple VersionsTesting Multiple Versions
Pattern 1: Version-Agnostic CorePattern 1: Version-Agnostic Core, Pattern 2: Feature Flags for Gradual Rollout, Pattern 3: API Version Metrics

Best Practices

✅ DO

  • Version from day one (even if v1)
  • Document breaking vs non-breaking changes
  • Provide clear migration guides with code examples
  • Use semantic versioning principles
  • Give 6-12 months deprecation notice
  • Monitor usage of deprecated APIs
  • Send deprecation warnings to API consumers
  • Support at least 2 versions simultaneously
  • Use adapters/transformers for version logic
  • Test all supported versions
  • Log which API version is being used
  • Provide migration tooling when possible
  • Be consistent with versioning approach

❌ DON'T

  • Change API behavior without versioning
  • Remove versions without notice
  • Support too many versions (>3)
  • Use different versioning strategies in same API
  • Break APIs without incrementing version
  • Forget to update documentation
  • Deprecate too quickly (<6 months)
  • Ignore feedback from API consumers
  • Make every change a new version
  • Use version numbers inconsistently

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Api Versioning Strategy AI skill do?

Implement API versioning strategies including URL versioning, header versioning, backward compatibility, deprecation strategies, and migration guides. Use when dealing with API versions, deprecating endpoints, or managing breaking changes.

Why use Api Versioning Strategy on TypingMind?

Because you install it once and use it with any model. Api Versioning Strategy is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Api Versioning Strategy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aj-geddes/useful-ai-prompts/tree/main/skills/api-versioning-strategy. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Api Versioning Strategy?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Api Versioning Strategy?

As many as you like. As long as a model supports skills, you can use Api Versioning Strategy with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Api Versioning Strategy AI skill free?

Yes. It is published on GitHub by aj-geddes under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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