Total 50,737 skills, AI & Machine Learning has 8499 skills
Showing 12 of 8499 skills
Agent skill for consensus-coordinator - invoke with $agent-consensus-coordinator
Agent skill for pagerank-analyzer - invoke with $agent-pagerank-analyzer
Transform static images into dynamic videos using each::sense AI. Create animations, Ken Burns effects, cinemagraphs, product showcases, and motion graphics from still photos.
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. Use when using univariate/multivariate APIs, Docker/IoT Edge containers, predictive maintenance flows, or regional limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).
Colorize black and white photos using each::sense AI. Bring old family portraits, historical images, vintage photographs, and archival footage to life with intelligent, context-aware colorization.
Configure AI Config targeting rules to control which variations serve to different users. Enable percentage rollouts, attribute-based rules, segment targeting, and guarded rollouts.
Make a demo of a research paper in a marimo notebook fully automatically without extra user input.
AI-powered comprehensive health analysis system that integrates multi-dimensional health data, identifies abnormal patterns, predicts health risks, and provides personalized recommendations. It supports intelligent Q&A and AI health report generation.
Squid Router Agent Cross-chain token swap agent powered by Squid Router. Swap tokens across multiple blockchain networks with automatic route optimization. Supported Chains Ethereum, Arbitrum, Poly
Debugging toolkit for AI agents. Diagnose symptoms via memory cache -> behavior cache -> codebase search, trace data flow, git-bisect bad commits, and compare output directories.
Search and discover academic scholars using OpenJobs AI. Find researchers by name, affiliation, research areas, citations, h-index, publications, and more with structured filters.
Asks for user feedback after each task or cron job completion and runs a recursive learning flow. If output is good, asks what was good until 10 approvals; if needs improvement, asks why/how/what via multiple choice plus optional examples, uses web search and iterative thinking to resolve, and caps iterations by severity (slight 5, medium 10, severe 20). Keeps feedback non-intrusive. Use when completing discrete tasks or cron jobs for the user.