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Found 1,599 Skills
Integration guidance for GrapesJS Studio SDK, fully customizable visual builder you can embed in your app. Use when building, configuring, extending, or troubleshooting Studio SDK projects, including setup, configuration, plugins, and project types.
Manages AI SDK model configurations - updates packages, identifies missing models, adds new models with research, and updates documentation
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, or tools, (2) Want to build AI agents, chatbots, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, etc.), streaming, tool calling, or structured output.
Expo SDK 54+ platform patterns. Use when configuring Expo apps, setting up root layouts, using expo-image, expo-haptics, safe areas, bottom sheets, FlashList, or StatusBar.
Titanium SDK architecture and implementation expert. Use when designing, reviewing, analyzing, or examining Titanium project structure (Alloy or Classic), creating controllers/views/services, choosing models vs collections, implementing communication patterns, handling memory cleanup, testing, auditing code, or migrating legacy apps. Automatically identifies project type.
Drift Protocol perpetual futures trading on Solana (direct SDK)
This skill should be used when users need to work with the Vercel AI SDK for building AI-powered applications. It provides comprehensive guidance on core APIs (generateText, streamText), UI components (useChat, useCompletion), tool calling, structured data generation, provider management, streaming protocols, and advanced features like middleware and custom providers.
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Build browser automation scripts using the Kernel Python SDK with Playwright and remote browser management.
Integrates Flowlines observability SDK into Python LLM applications. Use when adding Flowlines telemetry, instrumenting LLM providers, or setting up OpenTelemetry-based LLM monitoring.
Build multi-platform chat bots with Chat SDK (`chat` npm package). Use when developers want to (1) Build a Slack, Teams, Google Chat, Discord, GitHub, or Linear bot, (2) Use the Chat SDK to handle mentions, messages, reactions, slash commands, cards, modals, or streaming, (3) Set up webhook handlers for chat platforms, (4) Send interactive cards or stream AI responses to chat platforms. Triggers on "chat sdk", "chat bot", "slack bot", "teams bot", "discord bot", "@chat-adapter", building bots that work across multiple chat platforms.