Browse skills

Provides deployment guidance and assistance for software development workflows.

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

Analyzes and optimizes performance metrics from The Bearded Bears' AS (Automated Systems) deployments for improved efficiency.

This skill automatically deploys your Hugging Face Spaces to production, simplifying deployment and making your models accessible online.

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

Automates Vertex AI model deployment, including versioning, endpoint creation, and traffic splitting for streamlined ML workflows.

Converts PyTorch models to TorchScript for optimized performance and deployment across various environments – crucial for production use.

Simplifies exporting trained models from various frameworks to common formats like ONNX for easy deployment.

Helps with LangChain, deployment, integration as part of agent workflows workflows.

Generates, tests, and deploys Genkit Dart packages for streamlined AI model integrations and workflows.

Helps with OpenAI, Cloudflare, deployment as part of building AI and machine learning applications workflows.

Ollama Stack streamlines local LLM deployment & management, simplifying setup and enabling efficient experimentation for developers.

Reduces LLM file sizes & speeds up inference by quantizing GGuf models – making them more efficient to run and deploy.

Nnsight Remote Interpretability analyzes model behavior in real-time across deployed environments, revealing insights for debugging and trust.

GPTQ enables faster, smaller language model inference by quantizing weights – crucial for deploying large models on limited hardware.

Awq Quantization optimizes model size & speed by intelligently reducing numerical precision, boosting performance for deployment.

Hqq Quantization optimizes model size & speed by reducing numerical precision, making AI faster and more efficient for deployment.

This skill uses Sherpa and ONNX to convert speech models into TTS formats for efficient deployment and testing – streamlining audio development.

Manages sensitive environment variables securely, safeguarding your applications and streamlining deployments for enhanced security and reliability.

Manages environment variables securely, streamlining deployments and reducing configuration errors for reliable applications.

TensorPM helps you monitor and manage your TensorFlow models’ performance metrics, ensuring optimal model health and efficient deployments.