Total 50,615 skills, AI & Machine Learning has 8484 skills
Showing 12 of 8484 skills
AI model safety scanner built on NVIDIA garak for testing LLMs against 179 security probes across 35 vulnerability families
Automatically detect GPU vendor, find appropriate PyTorch container image, launch with correct mounts, and validate GPU functionality. Supports NVIDIA, Ascend, Metax, Iluvatar, and AMD/ROCm. Use when user says "setup container", "start pytorch container", or invokes /gpu-container-setup.
Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure ML pipelines, AutoML, managed online/batch endpoints, prompt flow, or MLflow deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Data Science Virtual Machines (use azure-data-science-vm).
Extract highlights, best moments, and key clips from long videos using each::sense AI. Perfect for gaming highlights, sports clips, podcast moments, webinar summaries, meeting recaps, and auto-trailer generation.
Generate AR filters and face effects using each::sense AI. Create face filters, beauty effects, makeup overlays, branded AR experiences, and 3D face tracking effects for social media platforms.
Trim, cut, and split videos using each::sense AI. Extract specific segments, remove intros/outros, create social media clips, detect scenes automatically, and batch process multiple videos.
Use when you need to generate an AGENTS.md file for a Java repository — covering project conventions, tech stack, file structure, commands, Git workflow, and contributor boundaries — through a modular, step-based interactive process that adapts to your specific project needs. Part of the skills-for-java project
Make a demo of a research paper in a marimo notebook fully automatically without extra user input.
Verifies the agent's current work against a specific question by analyzing unstaged changes, staged changes, recent commits, and codebase context. Answers succinctly for a senior audience. Use when user says "/check", "verify that", "confirm that", "check if", "is X done?", or asks about current session changes.
When the user wants to build or improve a sales bot's ability to try alternative channels when one fails. Also use when the user mentions "channel fallback," "channel switching," "multi-channel retry," "delivery failure handling," or "channel redundancy."
AI voice assistants with custom instructions, knowledge bases, and tool integrations.
Import ElevenLabs conversational AI agents into Telnyx. Preserves instructions, voice settings, tools, and call analysis. Supports all SDK languages.