Microsoft TypeSpec-based API and SDK generation
Scanned 9/2/2026
Install to Claude Code
npx -y skills add a5c-ai/babysitter --skill typespec-sdk-generator --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: typespec-sdk-generator
description: Microsoft TypeSpec-based API and SDK generation
allowed-tools:
- Read
- Write
- Edit
- Glob
- Grep
- Bash
graph:
domains: [domain:software-engineering]
specializations: [specialization:sdk-platform-development]
skillAreas: [skill-area:sdk-codegen, skill-area:api-design]
roles: [role:platform-engineer]
topics: [topic:api-design, topic:developer-experience]
---
# 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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