Total 55,561 skills, AI & Machine Learning has 9241 skills
Showing 12 of 9241 skills
Virtual try-on — see how clothes look on a person via fal.ai's hosted try-on models. Useful for ecommerce, lookbooks, and styling experiments.
Watch and analyze YouTube videos using Gemini's video understanding API. Pass any YouTube URL to get summaries, timestamps, Q&A, or detailed analysis of video content — audio and visual.
Guide for Writing and Optimizing AGENTS.md, following the principle of progressive disclosure. This skill must be loaded when users create, modify, or refactor AGENTS.md, discuss AI agent instruction structures, rule placement, or mention terms like "progressive disclosure", "modularity", "AGENTS.md best practices". Even if users simply say "help me write an AGENTS.md", "optimize this configuration file", or "split the rules", this skill should be used.
Agent skill for benchmark-suite - invoke with $agent-benchmark-suite
Agent skill for queen-coordinator - invoke with $agent-queen-coordinator
Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer
Agent skill for safla-neural - invoke with $agent-safla-neural
Agent skill for resource-allocator - invoke with $agent-resource-allocator
VS Code extension for real-time visualization of Claude Code agent orchestration as interactive node graphs
Expert knowledge for Azure AI Content Safety development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when using Content Safety APIs, Docker containers, blocklists, custom safety categories, or prompt shield, and other Azure AI Content Safety related development tasks. Not for Azure Security (use azure-security), Azure Defender For Cloud (use azure-defender-for-cloud), Azure Sentinel (use azure-sentinel), Azure Web Application Firewall (use azure-web-application-firewall).
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.
Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Video Indexer APIs/widgets, live camera indexing, custom speech/brand models, or Azure OpenAI integrations, and other Azure AI Video Indexer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Vision (use azure-ai-vision).