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Found 477 Skills
This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments. Use this skill when building AI chatbots with server action validators, tool abstraction systems, workflow execution, or multi-AI provider integration in your own projects (not contributing to better-chatbot itself). Use when: building AI chatbot features, implementing server action validators, creating tool abstraction layers, setting up multi-AI provider support, building workflow execution systems, adapting better-chatbot patterns to custom projects Keywords: AI chatbot patterns, server action validators, tool abstraction, multi-AI providers, workflow execution, MCP integration, validated actions, tool type checking, Vercel AI SDK patterns, chatbot architecture
Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use for "AI agents", "agentic workflows", "multi-step AI", or "autonomous systems".
TanStack Query (React Query) for asynchronous server-state management with automatic caching, background refetching, optimistic updates, and pagination in React applications.
Provides comprehensive guidance for Vuex 2.x state management in Vue 2 applications including state, mutations, actions, getters, modules, and plugins. Use when the user asks about Vuex for Vue 2, needs to manage state in Vue 2 applications, or implement Vuex patterns.
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.
Zustand state management best practices for React applications. Use when writing, reviewing, or refactoring Zustand stores to ensure optimal performance and maintainability. Triggers on tasks involving state management, stores, selectors, re-renders, and Zustand patterns.
React and Next.js implementation patterns for performance and maintainability. Use when building frontend components, pages, and applications with React ecosystem.
Expert patterns for Godot AutoLoad (singleton) architecture including global state management, scene transitions, signal-based communication, dependency injection, autoload initialization order, and anti-patterns to avoid. Use for game managers, save systems, audio controllers, or cross-scene resources. Trigger keywords: AutoLoad, singleton, GameManager, SceneTransitioner, SaveManager, global_state, autoload_order, signal_bus, dependency_injection.
Crucial info when dealing with a React project, these guidelines must always be followed in react contexts.
State machines using Spatie Model States for complex state transitions. Use when working with complex state management, state transitions, or when user mentions state machines, Spatie Model States, state transitions, transition validation.
TanStack Query v5 server state management for React. Covers query/mutation patterns, v4-to-v5 migration (object syntax, gcTime, isPending, keepPreviousData), optimistic updates via useMutationState, SSR/hydration with HydrationBoundary, infinite queries, offline/PWA support, error boundaries with throwOnError, and React 19 Suspense integration. Use when building data fetching, fixing migration errors, debugging hydration mismatches, implementing caching strategies, or configuring mutations.
Structured checkpoint format for requesting human input. When an agent needs a decision, it must stop, present context, show options, and wait. Activate when delegating to subagents, running background tasks, or hitting any decision point that requires human judgment.