a5c-ai/typespec-sdk-generator
library/specializations/sdk-platform-development/skills/typespec-sdk-generator/SKILL.md
Microsoft TypeSpec-based API and SDK generation
$ install --global
skillsauthnpx skillsauth add a5c-ai/babysitter typespec-sdk-generatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 2, 2026, 1:57 PM58.0s2 files scanned
SKILL.md
- name:
- typespec-sdk-generator
- description:
- Microsoft TypeSpec-based API and SDK generation
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
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
- Use namespaces to organize API structure
- Leverage decorators for documentation and behavior
- Implement proper versioning with @versioned
- Use templates for reusable patterns
- Define clear model inheritance hierarchies
- Apply Azure SDK guidelines for consistency
Related Skills
a5c-ai/model-card-generator
development
VerifiedTrustedCommunity
Model documentation skill for generating model cards following Google's model card framework.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/mlflow-experiment-tracker
development
VerifiedTrustedCommunity
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/lime-explainer
data-ai
VerifiedTrustedCommunity
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
680SKILL.mdUpdated Apr 28, 2026
a5c-ai/kubeflow-pipeline-executor
devops
VerifiedTrustedCommunity
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.
680SKILL.mdUpdated Apr 28, 2026