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Found 372 Skills
Embedded serial port debugging tool for serial port scanning, real-time monitoring, data sending, log recording, and Hex viewing. Automatically triggered when users mention serial port, COM port, UART, AT command debugging, baud rate, Hex streaming, serial port log capturing, serial port monitoring, viewing MCU output, or binary protocol joint debugging. It also supports explicit invocation via /serial. Even if users only say "check serial port output", "send an AT command", or "capture logs", this skill should be triggered as long as the context involves serial port communication.
GoldRush Foundational API — REST API for historical and near-real-time blockchain data across 100+ chains. Use this skill whenever the user needs wallet token balances, transaction history, NFT holdings, token prices, token approvals, cross-chain activity, block data, portfolio value tracking, or any on-chain data query via REST. This is the default skill for blockchain data lookups, portfolio dashboards, tax tools, compliance checks, block explorers, and any application that fetches historical or current chain data. If the user needs real-time streaming or WebSocket push data, use goldrush-streaming-api instead. If the user needs pay-per-request access without an API key, use goldrush-x402 instead.
Use the unified Opper SDKs (`opperai` package for both Python and TypeScript, with built-in agent support) for AI task completion, structured output with Pydantic / Zod / JSON Schema, knowledge base semantic search, streaming, tracing, tool use, and multi-agent composition. Use this skill whenever the user is writing Python or TypeScript code that imports `opperai`, builds an Opper agent, or asks how to do anything Opper-related in code — even if they don't explicitly name the SDK. Both languages live in one repo with parallel numbered examples; agents are part of the SDK, not a separate package.
Vercel AI SDK v5 for backend AI (text generation, structured output, tools, agents). Multi-provider. Use for server-side AI or encountering AI_APICallError, AI_NoObjectGeneratedError, streaming failures.
Use this skill whenever the user is working with the Pydantic AI framework — including building AI agents, defining structured outputs with Pydantic models, wiring up tools/function calling, configuring model providers (OpenAI, Anthropic, Gemini, etc.), managing dependencies via agent context, handling streaming responses, or debugging agent runs. Trigger this skill even for adjacent tasks like "how do I make my agent return JSON", "set up a multi-step agent", "add a tool to my agent", or "validate LLM output with Pydantic" — any time Pydantic AI is mentioned or implied as the target framework.
Build LLM-powered chat apps with the right SDK — Anthropic SDK / Claude API (prompt caching, thinking, tool use, batch, files, citations, memory, model migrations) AND Vercel AI SDK (useChat, streamText, tool calls, UIMessage, ChatStatus, addToolOutput). Use when implementing chat interfaces, tuning Claude features, migrating between Claude model versions, or wiring up streaming with @ai-sdk/react.
Fully offline speech-to-text via the Vosk library — streaming recognition, 16 kHz PCM, no network required after model download.
Guides the agent through building LLM-powered applications with LangChain and stateful agent workflows with LangGraph. Triggered when the user asks to "create an AI agent", "build a LangChain chain", "create a LangGraph workflow", "implement tool calling", "build RAG pipeline", "create a multi-agent system", "define agent state", "add human-in-the-loop", "implement streaming", or mentions LangChain, LangGraph, chains, agents, tools, retrieval augmented generation, state graphs, or LLM orchestration.
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing. Activate on: data pipeline, ETL, ELT, data warehouse, Spark, Kafka, Airflow, dbt, data modeling, star schema, streaming data, batch processing, data quality. NOT for: API design (use api-architect), ML training (use ML skills), dashboards (use design skills).
Query Web3 blockchain data from Moralis API. Use when user asks about wallet data (balances, tokens, NFTs, transaction history, profitability, net worth), token data (prices, metadata, DEX pairs, analytics, security scores), NFT data (metadata, transfers, traits, rarity, floor prices), DeFi positions, entity/label data for exchanges and funds, or block and transaction data. Supports EVM chains (Ethereum, Polygon, BSC, Arbitrum, Base, Optimism, Avalanche, etc.) and Solana. NOT for real-time streaming - use moralis-streams-api instead.
tvOS platform-specific development with focus system, large screen UI, Siri Remote, and media playback. Use when building Apple TV apps, video streaming, or living room experiences.
Use this skill when working with Unreal Engine async operations, threading, parallel execution, or concurrency. Also use when the user mentions 'FRunnable', 'FAsyncTask', 'TaskGraph', 'UE::Tasks', 'ParallelFor', 'TFuture', 'TPromise', 'Async()', 'thread safety', 'FCriticalSection', 'FRWLock', 'background thread', 'game thread dispatch', or 'thread pool'. For networking async (RPCs, replication), see ue-networking-replication. For asset streaming, see ue-data-assets-tables.