Browse skills

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

Automatically logs your machine learning experiments to Weights & Biases (W&B), streamlining tracking and analysis for improved model development.

Imagen generates images from text prompts, offering a creative tool for visualizing ideas and concepts quickly.

Summarizes lengthy internal communications from Anthropic, extracting key decisions and action items quickly.

This tool automatically adjusts gradients during training to prevent exploding gradients and improve model stability – a crucial aid for deep learning.

Generates diverse text formats using LLMs – ideal for content creation, brainstorming, and rapid prototyping across various applications.

This Prompt Engineer skill helps you craft optimized AI prompts for better results – crucial for maximizing your model's performance and accuracy.

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

This template streamlines Xiaomo AI interactions by providing a structured format for consistent and effective prompts, boosting productivity.

Automates model checkpointing, versioning, and retrieval during training, simplifying experiment management and reproducibility.

Minimizes Claude usage costs by intelligently adjusting prompt length and complexity based on task requirements.

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

Generates concise PowerPoint presentations from text prompts using a unique, efficient "nano-banana" summarization technique.

Optimize juicebox model performance through iterative prompting adjustments and parameter fine-tuning for improved results.

Automatically updates internal documentation with insights extracted from Anthropic's latest model releases and API changes.

Helps with image processing, code generation as part of building AI and machine learning applications workflows.

Juicebox Common Errors identifies and suggests fixes for frequent mistakes in your workflows, boosting efficiency and reducing redundant work.

Ollama simplifies running large language models locally, enabling experimentation and private use without relying on external APIs.

This Embedding Service converts text into numerical representations (embeddings) for semantic search and machine learning tasks, boosting AI performance.

Identifies and suggests fixes for frequent LangChain coding errors, boosting development efficiency.

Automate Gemini model training checkpoints, versioning, and rollback for streamlined experimentation and reliable deployments.

Automated debugging of Mistral AI models via code analysis, error reproduction, and targeted fix suggestions.

Analyzes image flux data to infer subtle changes and predict future states using advanced statistical modeling.

Helps with Word documents, OpenAI as part of building AI and machine learning applications workflows.