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Found 222 Skills
Expert knowledge for Azure Managed Redis development including troubleshooting, best practices, decision making, security, configuration, integrations & coding patterns, and deployment. Use when using Entra auth, geo-replication, persistence, Private Link, or ARM/Bicep deployments for Azure Managed Redis, and other Azure Managed Redis related development tasks. Not for Azure Cache for Redis (use azure-cache-redis), Azure Cosmos DB (use azure-cosmos-db), Azure Table Storage (use azure-table-storage).
Use when you need to write or improve integration tests — including Testcontainers with @ServiceConnection, @DataJdbcTest persistence slices, TestRestTemplate or MockMvcTester for HTTP, data isolation, and container lifecycle management for Spring Boot 4.0.x. Part of the skills-for-java project
Implement Syncfusion Blazor Scheduler component for comprehensive appointment and event scheduling. Use this when building calendar interfaces, managing appointments with CRUD operations, implementing multiple view modes, setting up recurring events, or handling timezone-aware scheduling. This skill covers views (day, week, month, timeline, agenda), drag-and-drop functionality, resizing, resources, localization, data binding, state persistence, and advanced customization options for scheduling applications.
This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.
React Native and Expo patterns for navigation, data fetching lifecycle, infinite scroll lists, form handling, state persistence, authentication routing, gesture-driven animations, bottom sheets, push notifications, and OTA updates. Use when building Expo/React Native apps that need screen-level data prefetching, auth guards with protected routes, infinite scroll feeds, native form input handling, offline-capable state persistence, platform-specific setup (focus/online managers), fluid animations and gesture interactions, modal bottom sheets, push notification flows, or over-the-air update strategies. Do not use for React web apps.
Implements Syncfusion DataManager for local/remote binding, CRUD, querying, caching, and middleware. Supports JsonAdaptor, ODataAdaptor, ODataV4Adaptor, UrlAdaptor, WebApiAdaptor, WebMethodAdaptor, RemoteSaveAdaptor, GraphQLAdaptor, CustomDataAdaptor, and CustomAdaptor. Covers Query class, filtering, sorting, paging, grouping, persistence, offline mode, caching, and error handling.
Core patterns for AI coding agents based on analysis of Claude Code, Codex, Cline, Aider, OpenCode. Triggers when: Building an AI coding agent or assistant, implementing tool-calling loops, managing context windows for LLMs, setting up agent memory or skill systems, or designing multi-provider LLM abstraction. Capabilities: Core agent loop with while(true) and tool execution, context management with pruning and compression and repo maps, tool safety with sandboxing and approval flows and doom loop detection, multi-provider abstraction with unified API for different LLMs, memory systems with project rules and auto-memory and skill loading, session persistence with SQLite vs JSONL patterns.
Guide the design and implementation of order lifecycle management in trading systems. Use when building an order state machine for an OMS or EMS, implementing or debugging FIX protocol connectivity to exchanges, handling cancel/replace race conditions, defining pre-submission validation rules (buying power, position limits, restricted lists), selecting order types and time-in-force instructions, designing multi-leg or OCO or bracket orders, building CAT-compliant audit trails, troubleshooting order rejections or unexpected state transitions, hardening an OMS against edge cases, or implementing order persistence and recovery for failover. Also covers FIX message flows, ClOrdID chaining, and partial fill aggregation.
Production-tested setup for Zustand state management in React. Includes patterns for persistence, devtools, and TypeScript patterns. Prevents hydration mismatches and render loops.
Analyze disk images and file systems for forensic investigation. Use when investigating data theft, insider threats, malware persistence, deleted file recovery, or any incident requiring analysis of storage media. Supports NTFS, FAT, EXT, HFS+, and APFS file systems.
Adaptive sprint workflow: deep analysis, evolving roadmap, one-at-a-time sprints, formal debt tracking, and re-entry prompts for context persistence. Trigger: When the user wants to analyze a project, create a roadmap, generate/execute sprints iteratively, or check project status and technical debt.
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.