Total 50,520 skills, AI & Machine Learning has 8479 skills
Showing 12 of 8479 skills
Pennylane integration. Manage data, records, and automate workflows. Use when the user wants to interact with Pennylane data.
Compress and simplify prompts to preserve meaning while reducing use of context
Expert knowledge for Microsoft Foundry (aka Azure AI Foundry) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Foundry agents with Azure OpenAI, vector search/RAG, Sora video, realtime audio, or MCP/LangChain APIs, and other Microsoft Foundry related development tasks. Not for Microsoft Foundry Classic (use microsoft-foundry-classic), Microsoft Foundry Local (use microsoft-foundry-local), Microsoft Foundry Tools (use microsoft-foundry-tools).
Ultra-compressed communication mode. Distills AI output to its core — ~65% fewer tokens while keeping full technical accuracy. Use when user says "caveman", "terse", "kurz", "kurz&knapp", "kurz bitte", "less tokens", "weniger text", or invokes /caveman-distillate.
Intellexer API integration. Manage data, records, and automate workflows. Use when the user wants to interact with Intellexer API data.
Chatbot Builder integration. Manage data, records, and automate workflows. Use when the user wants to interact with Chatbot Builder data.
Generate images using Gemini via ZenMux
Use when syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.
Generates original sports journalism articles by consuming real-time data from the sports-skills skills. Covers game previews, live reports, post-game, team analysis, and player profiles for all supported sports. Use when: the user asks to write, generate, create, or draft an article, preview, report, analysis, summary, or journalistic coverage about games, teams, players, scores, statistics, or sports results. Do not use when: the user only wants raw data without journalistic text — use the sport-specific skill directly (nfl-data, nba-data, football-data, etc.). Do not use when: the user wants to search for news published by third parties — use sports-news.
Channel the mental models, decision frameworks, and communication style of real experts (Steve Jobs, DHH, Rich Hickey, etc.) to approach problems the way they would. Use when the user says "summon", "channel", "what would [name] think", "ask [name]", or wants an expert perspective on a problem.
Solve vehicle routing problems to optimize delivery routes under capacity and time constraints. Use this skill when the user needs to plan delivery routes, minimize transportation costs, or optimize fleet utilization — even if they say 'delivery route optimization', 'fleet routing', or 'minimize driving distance'.
When the user wants to optimize multiple conflicting objectives, find Pareto-optimal solutions, or balance trade-offs between cost, service, quality, and sustainability. Also use when the user mentions "multi-objective," "Pareto optimization," "NSGA-II," "trade-off analysis," "scalarization," "weighted objectives," "goal programming," or "multiple criteria optimization." For single objective, see optimization-modeling.