Showing 12 of 50355 results
microsoft/agent-skills
Microsoft
Manages Azure Key Vault operations and interactions using TypeScript, enabling secure retrieval, storage, and manipulation of secrets and cryptographic keys.
k-dense-ai/claude-scientific-writer
Generates comprehensive clinical reports across case studies, diagnostics, trials, and patient documentation with regulatory compliance and precision.
microsoft/agent-skills
Microsoft
Securely retrieves and manages Azure Key Vault secrets and keys using .NET SDK for seamless credential and configuration management.
microsoft/agent-skills
Microsoft
fastapi-router skill from microsoft/agent-skills
jordanburke/functype
Generates TypeScript function type definitions, validates complex function signatures, and provides advanced type inference for intricate function patterns.
jordanburke/functype
Infers and validates function types dynamically, providing robust type checking and runtime type safety for JavaScript functions.
microsoft/agent-skills
Microsoft
Manages Azure Bot Service resources programmatically using Python, enabling creation, configuration, and deployment of bot services through Azure SDK interactions.
microsoft/agent-skills
Microsoft
Enables Python-based OpenTelemetry instrumentation and tracing for monitoring and observing performance and behavior of Python applications and services.
microsoft/skills
Microsoft
Manages and interacts with Azure API Center resources, enabling programmatic discovery, registration, and governance of API catalogs in Python.
microsoft/skills
Microsoft
Uploads, downloads, and manages Azure Blob Storage resources using Rust, providing efficient cloud storage interactions.
microsoft/skills
Microsoft
Manage and configure Azure Application Insights resources programmatically using .NET SDK for monitoring, telemetry, and performance insights.
black940514/aiengineer-code-mentor
This skill is designed to help developers who simply copy-paste AI-generated ML code without truly understanding it. The main functionality of this skill is to: 1. Explain the meaning and "why" behind each line of code, ensuring the developer truly understands the code. 2. Provide quizzes to verify if the developer has genuinely grasped the concepts. The key use case is to mentor developers who struggle with understanding the underlying principles of the ML code they are using, rather than just blindly applying it.