typespec-sdk-generator

Microsoft TypeSpec-based API and SDK generation

509 stars

Best use case

typespec-sdk-generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Microsoft TypeSpec-based API and SDK generation

Teams using typespec-sdk-generator should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/typespec-sdk-generator/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/sdk-platform-development/skills/typespec-sdk-generator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/typespec-sdk-generator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How typespec-sdk-generator Compares

Feature / Agenttypespec-sdk-generatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Microsoft TypeSpec-based API and SDK generation

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# TypeSpec SDK Generator Skill

## Overview

This skill utilizes Microsoft TypeSpec (formerly Cadl) to design APIs and generate multi-language SDKs following Azure SDK guidelines. TypeSpec provides a concise, type-safe language for API definition.

## Capabilities

- Design APIs using TypeSpec language
- Generate multi-language SDKs (TypeScript, Python, Java, C#, Go)
- Emit OpenAPI and other specification formats
- Apply Azure SDK style guidelines automatically
- Implement decorators for rich API semantics
- Support versioning and deprecation patterns
- Generate strongly-typed clients

## Target Processes

- SDK Code Generation Pipeline
- API Design Specification
- Multi-Language SDK Strategy

## Integration Points

- TypeSpec compiler and emitters
- AutoRest for SDK generation
- Azure SDK code generation pipeline
- OpenAPI emitters
- Custom emitter development

## Input Requirements

- TypeSpec model files (.tsp)
- Emitter configurations per target
- Versioning requirements
- Style guide preferences
- Custom decorators (if any)

## Output Artifacts

- Generated SDK source code per language
- OpenAPI specifications
- JSON schemas
- API documentation
- Client library packages

## Usage Example

```yaml
skill:
  name: typespec-sdk-generator
  context:
    modelDirectory: ./typespec
    emitters:
      - "@azure-tools/typespec-ts"
      - "@azure-tools/typespec-python"
      - "@typespec/openapi3"
    applyAzureGuidelines: true
    apiVersion: "2024-01-01"
```

## Best Practices

1. Use namespaces to organize API structure
2. Leverage decorators for documentation and behavior
3. Implement proper versioning with @versioned
4. Use templates for reusable patterns
5. Define clear model inheritance hierarchies
6. Apply Azure SDK guidelines for consistency

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