Browse skills

Migrates data and configurations to Anthropic's Claude Opus 4.5 model for enhanced performance and compatibility.

Suggests optimal Claude workflows & automations based on user tasks and data inputs for increased efficiency.

Tracks Copilot usage data (tokens, calls, etc.) to understand adoption and optimize workflows for improved productivity insights.

Generates custom large language models tailored to specific datasets and tasks using GitHub's tools and infrastructure.

This skill updates Large Language Models (LLMs) with new data, ensuring your AI stays current and performs optimally.

Official openai skill covering OpenAI, data modeling for software development workflows.

Access a vast library of pre-built datasets for machine learning projects, accelerating development and experimentation.

Ralph GPU accelerates complex computations by leveraging powerful GPUs, boosting performance for demanding tasks and data processing.

Official huggingface skill for software development workflows.

Official openai skill covering OpenAI, data for software development workflows.

Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger on

Hugging Face Trackio enables efficient data exploration and analysis by providing a streamlined interface for querying and visualizing datasets within the Hugging Face ecosystem.

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute j

Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alo

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research artic

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the

Adds support for unsigned integer (Uint) data types in PyTorch models, enabling efficient handling of these common numerical representations.

Helps with LangChain, AI, data as part of software development workflows workflows.

This skill generates diverse embedding strategies for your data, optimizing model performance and uncovering hidden relationships through varied vector representations.

Simulates web crawling to extract data from websites based on provided URLs and extraction rules.

This skill continuously updates its knowledge base based on new data, ensuring relevant and accurate responses over time – a vital tool for staying current.

Connects to external data sources & tools using LangChain's framework for enhanced AI capabilities and workflows.

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