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Sdk Dx

Community
jonathimer
sdk-dx

Design SDKs that developers love to use—APIs that feel native, error messages that guide, and experiences that reduce friction. This skill covers creating SDKs that drive adoption through exceptional developer experience rather than aggressive marketing. Trigger phrases: "SDK design", "developer experience", "API design", "SDK DX", "error messages", "type safety", "IDE integration", "SDK versioning", "migration guides", "client library design", "making SDKs feel native", "SDK best practices"

Overview

Publisherjonathimer
Repositorydevmarketing-skills
Skill namesdk-dx
Stars
87
Forks
6
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by jonathimer on GitHub. Read the source before you install it.

Installation

Install the Sdk Dx 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/jonathimer/devmarketing-skills.git /tmp/devmarketing-skills
mkdir -p .claude/skills
cp -r /tmp/devmarketing-skills/skills/sdk-dx .claude/skills/sdk-dx
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sdk Dx 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 Sdk Dx 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 Sdk Dx 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.

SDK Design and Developer Experience

The best SDK marketing is an SDK that developers can't stop talking about. When your SDK makes developers feel productive and competent, they become your advocates. When it frustrates them, no amount of marketing will save you.

Overview

SDK developer experience (DX) encompasses everything a developer feels when using your library:

  • Discovery: How easily can they find and install it?
  • Learning: How quickly can they understand how to use it?
  • Using: How productive are they day-to-day?
  • Debugging: How easily can they fix problems?
  • Upgrading: How painlessly can they adopt new versions?

Great SDK DX is a competitive advantage. Developers choose tools that make them feel smart.

Before You Start

Review the developer-audience-context skill to understand:

  • What languages and frameworks do your target developers use?
  • What IDE/editor setups are most common?
  • What's their experience level with your problem domain?
  • What competing SDKs have they used? What do they like/dislike?

SDK design decisions should flow from deep understanding of your users.

API Design Principles

Principle 1: Optimize for the Common Case

The most frequent use case should require the least code.

Good Design:

python
# Common case: send a simple message
client.messages.send("Hello world", to="+1234567890")

# Full control when needed
client.messages.send(
    body="Hello world",
    to="+1234567890",
    from_="+0987654321",
    status_callback="https://...",
    media_urls=["https://..."]
)

Bad Design:

python
# Every call requires full configuration
message = Message(
    body="Hello world",
    to=PhoneNumber("+1234567890"),
    from_=PhoneNumber(config.get_default_from()),
    options=MessageOptions(
        status_callback=None,
        media_urls=[]
    )
)
client.messages.send(message)

Principle 2: Progressive Disclosure

Start simple, reveal complexity as needed.

javascript
// Level 1: Simplest possible usage
const result = await client.analyze("Hello world");

// Level 2: Common options
const result = await client.analyze("Hello world", {
  language: "en",
  features: ["sentiment", "entities"]
});

// Level 3: Full control
const result = await client.analyze("Hello world", {
  language: "en",
  features: ["sentiment", "entities"],
  model: "v2-large",
  timeout: 30000,
  retries: { max: 3, backoff: "exponential" }
});

Principle 3: Fail Fast and Clearly

Catch errors as early as possible, with actionable messages.

Good:

python
# Validation at construction time
client = MyClient(api_key="")
# Raises immediately: ValueError: API key cannot be empty.
# Get your API key at https://dashboard.example.com/keys

# Clear error at runtime
client.users.get("invalid-id")
# Raises: NotFoundError: User 'invalid-id' not found.
# Use client.users.list() to see available users.

Bad:

python
client = MyClient(api_key="")  # No validation
result = client.users.get("invalid-id")
# Returns: None (is this an error? empty result? who knows?)
# Or worse: raises generic Exception with stack trace

Principle 4: Sensible Defaults

Default values should work for most cases without configuration.

javascript
// This should just work without configuration
const client = new MyClient({ apiKey: process.env.MY_API_KEY });

// Sensible defaults:
// - Automatic retries with exponential backoff
// - Reasonable timeouts
// - JSON content type
// - Standard auth headers
// - Connection pooling

Error Messages That Guide

Error messages are documentation. Make them helpful.

The Error Message Framework

Every error message should answer:

  1. What happened?
  2. Why did it happen?
  3. How do I fix it?

Good vs. Bad Error Messages

Good:

AuthenticationError: Invalid API key provided.

The API key 'sk_test_abc...' (test key) cannot be used for
production requests.

To fix this:
1. Go to https://dashboard.example.com/keys
2. Copy your production API key (starts with 'sk_live_')
3. Update your environment variable: MY_API_KEY=sk_live_...

Docs: https://docs.example.com/authentication

Bad:

Error: 401 Unauthorized

Error Types to Distinguish

Create specific error types that developers can catch:

python
from myapi.errors import (
    AuthenticationError,  # Invalid/missing credentials
    AuthorizationError,   # Valid creds, insufficient permissions
    ValidationError,      # Invalid input data
    NotFoundError,        # Resource doesn't exist
    RateLimitError,       # Too many requests
    ServerError,          # Our fault, retry might help
)

try:
    client.users.get(user_id)
except NotFoundError as e:
    # Handle missing user specifically
except AuthenticationError as e:
    # Handle auth issues specifically
except MyAPIError as e:
    # Catch-all for other API errors

Include Context in Errors

javascript
// Bad: generic error
throw new Error("Invalid parameter");

// Good: contextual error
throw new ValidationError({
  message: "Invalid phone number format",
  field: "to",
  value: "+1abc",
  expected: "E.164 format (e.g., +14155551234)",
  docs: "https://docs.example.com/phone-numbers"
});

Type Safety

Type safety is documentation that never goes stale.

TypeScript Best Practices

typescript
// Define explicit types for all inputs and outputs
interface User {
  id: string;
  email: string;
  name: string;
  createdAt: Date;
  metadata?: Record<string, unknown>;
}

interface CreateUserInput {
  email: string;
  name: string;
  metadata?: Record<string, unknown>;
}

// Return types are explicit
async function createUser(input: CreateUserInput): Promise<User> {
  // ...
}

// Use discriminated unions for responses
type ApiResponse<T> =
  | { success: true; data: T }
  | { success: false; error: ApiError };

Autocomplete-Driven Design

Design for IDE autocomplete:

typescript
// Good: autocomplete shows all options
client.messages.create({
  to: "+1...",     // IDE shows: (property) to: string
  body: "...",    // IDE shows: (property) body: string
  // User types 'me' and sees 'mediaUrls' autocomplete
});

// Bad: requires memorization
client.send("messages", { /* what goes here? */ });

Enum and Literal Types

typescript
// Good: constrained values with autocomplete
type MessageStatus = "queued" | "sending" | "sent" | "failed";

interface Message {
  status: MessageStatus;  // IDE shows valid values
}

// Bad: any string accepted
interface Message {
  status: string;  // No guidance, errors at runtime
}

IDE Integration

Make Discovery Easy

Structure your SDK so IDE features help developers:

typescript
// Namespace methods logically
client.users.get(id)
client.users.list()
client.users.create(data)
client.users.update(id, data)
client.users.delete(id)

// After typing 'client.users.' the IDE shows all user operations

JSDoc/Docstrings Everywhere

typescript
/**
 * Creates a new user in your organization.
 *
 * @param input - The user details
 * @param input.email - Must be a valid email address
 * @param input.name - Display name (max 100 characters)
 * @returns The created user with generated ID
 * @throws {ValidationError} If email format is invalid
 * @throws {ConflictError} If email already exists
 *
 * @example
 * const user = await client.users.create({
 *   email: "jane@example.com",
 *   name: "Jane Developer"
 * });
 */
async createUser(input: CreateUserInput): Promise<User>

Inline Examples

python
def send_message(self, body: str, to: str, **kwargs) -> Message:
    """
    Send an SMS message.

    Args:
        body: The message content (max 1600 characters)
        to: Recipient phone number in E.164 format

    Returns:
        Message object with ID and status

    Example:
        >>> message = client.messages.send(
        ...     body="Hello from Python!",
        ...     to="+14155551234"
        ... )
        >>> print(message.status)
        'queued'
    """

Versioning Strategy

Semantic Versioning

Follow semver strictly:

  • MAJOR: Breaking changes (removal, signature changes)
  • MINOR: New features (backward compatible)
  • PATCH: Bug fixes (backward compatible)

What Constitutes a Breaking Change

Breaking changes (require major version bump):

  • Removing a public method or property
  • Changing method signatures
  • Changing return types
  • Changing default behavior
  • Removing support for a language/runtime version

Not breaking (minor or patch):

  • Adding new methods
  • Adding optional parameters
  • Deprecating (but not removing) features
  • Bug fixes that change incorrect behavior

Deprecation Process

python
import warnings

def old_method(self):
    """
    .. deprecated:: 2.3.0
       Use :meth:`new_method` instead. Will be removed in 3.0.0.
    """
    warnings.warn(
        "old_method() is deprecated, use new_method() instead. "
        "See migration guide: https://docs.example.com/migrate-v3",
        DeprecationWarning,
        stacklevel=2
    )
    return self.new_method()

Migration Guides

Migration Guide Structure

markdown
# Migrating from v2 to v3

## Overview
Version 3 introduces [major change] and removes [deprecated feature].
Migration typically takes [time estimate].

## Breaking Changes

### 1. Client Initialization
**Before (v2):**
```python
client = MyClient(key="...")

After (v3):

python
client = MyClient(api_key="...")

Why: Consistency with other SDK parameters.

2. [Next breaking change]

...

Deprecated Features Removed

  • client.old_method() - Use client.new_method() instead
  • LegacyClass - Use ModernClass instead

New Features

  • [Feature that makes migration worthwhile]

Need Help?

  • [Migration support channel]
  • [Office hours for migration questions]

### Codemods and Automation

When possible, provide automated migration:

```bash
# Provide migration scripts
npx @myapi/migrate-v3

# Or codemods
npx jscodeshift -t @myapi/codemods/v2-to-v3 src/

Making SDKs Feel Native

Language Idioms

Python: Use snake_case, context managers, generators

python
# Pythonic
with client.batch() as batch:
    for user in client.users.list():
        batch.add(user.send_notification("Hello"))

# Not Pythonic
users = client.getUsers()
batch = client.createBatch()
for i in range(len(users)):
    batch.addOperation(users[i].sendNotification("Hello"))
batch.execute()

JavaScript: Use Promises, async/await, destructuring

javascript
// Idiomatic JS
const { data, error } = await client.users.get(id);

// Not idiomatic
client.users.get(id, function(err, result) {
    if (err) { /* callback hell */ }
});

Go: Use error returns, interfaces, channels

go
// Idiomatic Go
user, err := client.Users.Get(ctx, userID)
if err != nil {
    return fmt.Errorf("getting user: %w", err)
}

// Not idiomatic
user := client.Users.Get(userID)  // panics on error

Match Ecosystem Conventions

  • Use the package manager developers expect (npm, pip, gem, go get)
  • Follow naming conventions of popular libraries in that language
  • Integrate with popular frameworks (Express, Django, Rails)
  • Support popular testing patterns

SDK Quality Checklist

Before Release

  • All public APIs have documentation
  • All public APIs have types (where language supports)
  • Error messages include remediation steps
  • Code examples in docs are tested automatically
  • Changelog is updated with all changes
  • Migration guide for breaking changes
  • Deprecation warnings for removed features

For Great DX

  • Quickstart achieves success in < 5 minutes
  • IDE autocomplete works for all operations
  • Errors are catchable by specific type
  • Retry logic handles transient failures
  • Logging is configurable and useful
  • Debug mode shows request/response details

Tools

SDK Generation

  • OpenAPI Generator: Generate SDKs from OpenAPI specs
  • Swagger Codegen: Alternative generator
  • Speakeasy: Modern SDK generation platform
  • Fern: Type-safe SDK generation

Testing

  • VCR/Betamax: Record and replay HTTP interactions
  • WireMock: Mock HTTP services
  • Pact: Contract testing

Documentation

  • TypeDoc: TypeScript documentation
  • Sphinx: Python documentation
  • GoDoc: Go documentation
  • YARD: Ruby documentation

Related Skills

  • docs-as-marketing: Documentation that showcases SDK capabilities
  • api-onboarding: First experience with your SDK
  • changelog-updates: Communicating SDK changes effectively
  • developer-sandbox: Try SDK without installing
  • developer-audience-context: Understanding SDK users

Frequently asked questions

What does the Sdk Dx AI skill do?

Design SDKs that developers love to use—APIs that feel native, error messages that guide, and experiences that reduce friction. This skill covers creating SDKs that drive adoption through exceptional developer experience rather than aggressive marketing. Trigger phrases: "SDK design", "developer experience", "API design", "SDK DX", "error messages", "type safety", "IDE integration", "SDK versioning", "migration guides", "client library design", "making SDKs feel native", "SDK best practices"

Why use Sdk Dx on TypingMind?

Because you install it once and use it with any model. Sdk Dx 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 Sdk Dx in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jonathimer/devmarketing-skills/tree/main/skills/sdk-dx. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sdk Dx?

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 Sdk Dx?

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

Is the Sdk Dx AI skill free?

Yes. It is published on GitHub by jonathimer 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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