Browse skills

Analyzes domain-specific text data using machine learning to extract insights and inform decision-making processes.

Efficiently searches Qdrant vector databases using davila7's tool for semantic similarity and fast retrieval.

Provides data modeling guidance and assistance for software development workflows.

Helps with AI, data modeling, web development as part of building AI and machine learning applications workflows.

Optimizes davila7's frontend context window usage to prevent overflow and maintain efficient processing of large data sets.

Retrieval-Augmented Generation (RAG) enhances LLMs by retrieving relevant context from external data sources, boosting accuracy and knowledge.

PyTorch FSDP accelerates large model training by intelligently distributing data across multiple GPUs, boosting efficiency and reducing memory footprint.

Qdrant enables seamless vector database integration for semantic search and retrieval, boosting AI applications with efficient similarity matching.

Faiss enables fast similarity search across large datasets by building indexes for efficient nearest neighbor retrieval – crucial for applications like recommendation and image search.

Creates secure model armor templates within Google Workspace to protect sensitive data used in generative AI applications.

Generates OpenAI embeddings from text data using grepai's infrastructure for efficient vector representation and similarity search.

This tool automatically constructs knowledge graphs from text data, streamlining information organization and analysis for deeper insights.

This skill determines cause-and-effect relationships from data, enabling better predictions and insights by understanding how actions influence outcomes.

Helps with machine learning, data modeling as part of agent workflows workflows.

Generates optimal AI skill prompts & training data leveraging best practices for improved model performance.

Automatically generates optimal neural network architectures based on specified task requirements and dataset characteristics.

This skill analyzes images to identify objects and patterns, offering insights for automation, analysis, and understanding visual data.

This NLP skill converts human text into data and insights, enabling machines to understand and respond like people – incredibly useful for automation & analysis.

Identifies patterns and groups similar data points together to reveal hidden structures within datasets.

This skill reduces complex data by identifying key patterns, simplifying analysis and improving model performance.

Helps with machine learning, data modeling, explanation as part of agent workflows workflows.

Automatically expands limited training data with synthetic examples generated from web searches, boosting model accuracy.

Machine Learning analyzes data to identify patterns & predict outcomes, boosting insights and automating decision-making processes.

Develops & trains deep learning models in Python using frameworks like TensorFlow/PyTorch for complex data analysis tasks.