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Found 1,783 Skills
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for 2025+ AI development.
Provides comprehensive guidance for React development including components, JSX, props, state, hooks, context, performance optimization, and best practices. Use when the user asks about React, needs to create React components, implement hooks, manage component state, or build React applications.
Blockchain smart contract specialist for Solidity, EVM, security patterns, and gas optimizationUse when "smart contract, solidity, ethereum, evm, contract, web3, gas optimization, upgradeable contract, reentrancy, solidity, ethereum, smart-contracts, evm, web3, blockchain, defi, nft, security, gas" mentioned.
Comprehensive Ruby development skill covering language fundamentals, object-oriented design patterns, error handling strategies, performance optimization, modern Ruby 3.x features (pattern matching, ractors, typed Ruby), testing patterns, metaprogramming, concurrency, and Rails-specific best practices. Use when writing Ruby code, refactoring, implementing design patterns, handling exceptions, optimizing performance, writing tests, or applying Ruby idioms and conventions.
Master Entity Framework Core patterns for ABP Framework including entity configuration, DbContext, migrations, relationships, and performance optimization. Use when: (1) configuring entities with Fluent API, (2) creating migrations, (3) designing relationships, (4) implementing repository patterns.
Modern frontend architecture patterns for React, Next.js, and TypeScript including component composition, state management, performance optimization, accessibility, and responsive design. Use when building UI components, implementing frontend features, optimizing performance, or working with React/Next.js applications.
PostgreSQL database design, migration, and performance optimization best practices. This skill should be used when writing, reviewing, or refactoring database schemas, migrations, or query patterns. Triggers on tasks involving PostgreSQL databases, schema design, migration optimization, or data modeling.
Generate SEO-optimized competitor comparison and alternatives pages. Covers "X vs Y" layouts, "alternatives to X" pages, feature matrices, schema markup, and conversion optimization. Use when user says "comparison page", "vs page", "alternatives page", "competitor comparison", or "X vs Y".
Creates system prompts, writes tool descriptions, and structures agent instructions for agentic systems. Use when the user asks to create, generate, or design prompts for AI agents, especially for tool-using agents, planning agents, or autonomous systems. **PROACTIVE ACTIVATION**: Auto-invoke when designing prompts for agents, tools, or agentic workflows in AI projects. **DETECTION**: Check for agent/tool-related code, prompt files, or user mentions of "prompt", "agent", "LLM". **USE CASES**: Designing system prompts, tool descriptions, agent instructions, prompt optimization, reducing hallucinations.
Comprehensive GameMaker Studio 2 and GML expertise covering beginner to advanced topics. Provides guidance on object creation, GML syntax, event systems, data structures, file I/O, shaders, networking, platform-specific features, performance optimization, and debugging. Automatically invoked when working with .gml files, .yy files, .yyp projects, or GameMaker-related tasks. References official manual (manual.gamemaker.io) for authoritative documentation.
Build responsive, mobile-first layouts using fluid containers, flexible units, media queries, and touch-friendly design that works across all screen sizes. Use this skill when creating or modifying UI layouts, responsive grids, breakpoint styles, mobile navigation, or any interface that needs to adapt to different screen sizes. Apply when working with responsive CSS, media queries, viewport settings, flexbox/grid layouts, mobile-first styling, breakpoint definitions (mobile, tablet, desktop), touch target sizing, relative units (rem, em, %), image optimization for different screens, or testing layouts across multiple devices. Use for any task involving multi-device support, responsive design patterns, or adaptive layouts.
Document chunking implementations and benchmarking tools for RAG pipelines including fixed-size, semantic, recursive, and sentence-based strategies. Use when implementing document processing, optimizing chunk sizes, comparing chunking approaches, benchmarking retrieval performance, or when user mentions chunking, text splitting, document segmentation, RAG optimization, or chunk evaluation.