Browse skills

Helps with Docker, deployment as part of software development workflows workflows.

Provides Google Cloud guidance and assistance for software development workflows.

Helps with Kubernetes, security as part of software development workflows workflows.

Helps with machine learning, automation as part of software development workflows workflows.

Official aws skill for software development workflows.

Provides Kubernetes guidance and assistance for software development workflows.

Provides auditing guidance and assistance for software development workflows.

Provides serverless guidance and assistance for software development workflows.

Official aws skill for software development workflows.

Automate Cloudflare Workers deployment & management using tenequm's secure, scalable, and developer-friendly AI agent skill.

Access powerful GPU computing resources in the cloud via Lambda Labs for accelerated AI development and experimentation.

Helps with Azure, REST APIs as part of deploying and managing cloud infrastructure workflows.

Automates Azure AIObservability evaluation using .NET, enabling performance monitoring and optimization via Sickn33's agent skill.

Manage Azure Bot Service resources programmatically using Python via Sickn33's reliable automation tool.

Authenticate to and manage Azure Container Registry images using Python scripting for automated deployments.

Manages Azure Bot Service resources using .NET SDK, enabling bot creation, deployment, and configuration automation.

Helps with Azure, PostgreSQL as part of deploying and managing cloud infrastructure workflows.

Manages Azure API Center resources using Python, enabling automated deployments and configuration of APIs.

Helps with Azure, AI as part of deploying and managing cloud infrastructure workflows.

Automates Azure resource deployment from code, streamlining infrastructure provisioning and reducing manual errors.

Sends/receives events to/from Azure Event Hubs using .NET libraries, enabling real-time data processing workflows.

Helps with Azure, machine learning as part of deploying and managing cloud infrastructure workflows.

Analyzes garbage collection logs to identify memory leaks and performance bottlenecks, improving application stability and efficiency.

Helps with Google Cloud, MCP tools as part of software development workflows workflows.