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Found 3,984 Skills
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).
Search and analyze cryo-EM maps, single particle structures, tomography datasets, and raw micrograph data from EMDB, EMPIAR, and CryoET Data Portal. Cross-reference with PDB structures and AlphaFold predictions. Use for cryo-EM map discovery, structure fitting analysis, raw data access, and tomography exploration.
Build trustless escrow for agent-to-agent transactions on Solana and Base. Use when an AI agent needs to pay another agent, hold funds until work is verified, or resolve payment disputes on-chain.
Microservices architecture patterns and best practices. Use when designing distributed systems, breaking down monoliths, or implementing service communication.
Patterns for sharing code between macOS and iOS in SwiftUI apps. Covers project structure (70% shared / 15% macOS / 15% iOS), platform abstraction via protocols and #if os() conditional compilation, adaptive navigation (NavigationSplitView on Mac/iPad → NavigationStack on iPhone), shared components with platform styling, iOS-specific extensions (custom keyboard extension, interactive widgets, share extension, action extension, Control Center widget, lock screen widget), App Groups for data sharing with extensions, CloudKit sync monitoring, JSON export/import, schema versioning and migration, URL scheme deep linking, and the full macOS→iOS migration checklist. Use when building apps that target both macOS and iOS, when adding iOS support to a macOS app, when building widgets or keyboard extensions, or when setting up iCloud sync with SwiftData.
Cross Validation Setup - Auto-activating skill for ML Training. Triggers on: cross validation setup, cross validation setup Part of the ML Training skill category.
Horizontal Gene Transfer protocol for skills. Synchronizes best practices and architectural patterns across the skill library.
Comprehensive microservices architecture patterns covering service decomposition, communication, data management, and resilience strategies. Use when designing distributed systems, breaking down monoliths, or implementing service-to-service communication.
Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.
Micronaut framework guardrails, patterns, and best practices for AI-assisted development. Use when working with Micronaut projects, or when the user mentions Micronaut. Provides compile-time DI, HTTP server/client, data access, and cloud-native guidelines.
React Native+Expo (EAS), Flutter/Dart (Bloc/Riverpod), Capacitor, KMM — framework selection
Traditional market microstructure concepts applied to crypto — order book dynamics, market making theory, price formation models, execution quality measurement, and CEX vs DEX structural differences