6.2K skills · sorted by relevance
Build or review Java services with Quarkus 3.x using patterns for REST APIs, database access with Panache, and messaging with Apache Camel. Examples cover layered code structure, validation, transactions, and asynchronous processing, where work completes separately from the main flow.
Guides electronic medical record development, covering visit workflows, prescriptions, and clinical data entry. Provides patterns for medication interaction alerts, abnormal result displays, audit trails, and accessible interfaces that keep patient information visible during care.
Build and review React or Next.js interfaces using practical patterns for reusable components, state management, data fetching, forms, and rendering performance. Includes keyboard navigation and focus management to support accessible interactions.
Build clinical decision support for electronic medical records, covering drug interactions, dose validation, clinical risk scores, and alerts. Provides patterns for testable checking functions, severity-based interface behavior, and safety tests that detect missed warnings.
Build or review Django applications using examples for project structure, APIs, database access, and caching. Apply patterns for separating settings and business logic, validating requests, and reducing repeated database queries.
Write or review Dart and Flutter apps with practical patterns for state management, navigation, networking, error handling, and tests. Use code examples to handle missing values, organize widgets, and connect login status to routing.
Review and refine code using shared conventions for clear names, readability, error handling, and updates that preserve original data. Identify duplication, oversized functions, and unnecessary complexity to make code easier to understand and maintain.
Build or review server-side APIs in Node.js, Express, and Next.js. Apply patterns for organizing business logic and data access, reducing unnecessary database queries, caching results, validating requests, and handling authentication and errors.
Implement and debug large-model training with PyTorch FSDP, which splits training state across devices. Consult documentation and code patterns for sharding choices, mixed precision, and checkpoints when building or reviewing distributed training code.
Build MCP servers that let AI access actions and data using mcp-use. The guide covers project setup, reusable prompts, interactive React interfaces, authentication, error handling, and deployment, with reference files for each area.
Check project dependency versions and consult the relevant official documentation before writing framework-specific code. Produce implementations with source links, identify deprecated APIs, and flag unverified approaches or conflicts between documentation and existing project patterns.
Capture lessons from completed tasks, train patterns from explicit examples, and consolidate accumulated learning into long-term storage. Use SONA and MicroLoRA adaptation tools for individual domains, then verify results in the appropriate stores.
Define reusable reasoning and decision patterns for agents, embed them in executable workflows, and review their performance. Share successful approaches, including conditional decision trees, stepwise problem solving, analogies, and evaluation from multiple perspectives.
Choose the next task using patterns learned from completed work and current progress. The skill acts on confident predictions, falls back to task priorities when confidence is low, and updates its learning after completion.
Search document collections by meaning using embeddings, numerical representations of text. Compare text similarity, route queries among a few predefined patterns, and use a compressed search index when memory is limited.
Find JavaScript code that changes existing objects or arrays, then replace those updates with modified copies. Review shared state and browser behavior to make data changes easier to trace and check fixes in context.
Review supplied writing through twelve DHDNA dimensions, a framework for describing reasoning and expression. Receive observations supported by quotations, optional scores, and comparisons between samples, with clear limits separating textual patterns from psychological traits.
Design autonomous coding agents with patterns inspired by Cline and OpenAI Codex. Explore tool calling interfaces, permission and approval systems, browser automation, and workflows where people review or guide the agent's actions.
Build Python applications that keep other tasks moving while waiting for network, database, or file operations. Guides the choice of asyncio patterns, with timeouts, cancellation, error handling, and testing for asynchronous code.
Analyze audiences across Facebook, Instagram, YouTube, and TikTok using Apify Actors, tools that collect platform data. Gather follower, profile, or comment data, summarize audience characteristics and engagement patterns, and return results in chat, CSV, or JSON.
Plan how an Angular app stores and updates data used by its screens. Covers local and shared state, choices involving Signals, NgRx, and RxJS, synchronization with server data, debugging, and migration from older patterns.
Provides persistent project memory for AI agents through a local MCP server, a tool interface for agents. Stores and searches architecture decisions and implementation patterns, syncs with project documentation, and includes a dashboard for viewing memory usage.
Create Hookify rules that detect command patterns, file edits, or session events and show warnings or block actions. Includes guidance on matching conditions, regular expressions for text patterns, and reminders before an agent finishes.
Build and debug asynchronous Rust applications with Tokio, a runtime for scheduling work while operations wait. Apply patterns for task management, channels, error handling, cancellation, and concurrency limits when developing network services and other concurrent systems.