Results for “onchain-messaging”

8 skills
bankrbot
onchainkit
Build onchain applications with React components and TypeScript utilities from Coinbase's OnchainKit, supporting wallet connection, token swaps, NFT minting, and payment processing.
1.2k · bundle
tianhao909
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
1 · bundle
jiaiyan
n-message
Message component for displaying toast notifications and feedback. Invoke when user needs to show temporary feedback messages, loading states, or success/error notifications in Naive UI.
8
orchestra-research
langchain
Build LLM-powered applications with agents, chains, and RAG using a framework that supports multiple providers and 500+ integrations.
10.4k · bundle
bankrbot
helixa
Mint onchain identity NFTs, check Cred Scores, verify social accounts, and query agent reputation data on Base using Helixa's API and shell scripts.
1.2k · bundle
bankrbot
yoink
Play an onchain capture-the-flag game on Base by yoinking the flag from the current holder, checking game stats and leaderboards, and competing for the trophy using Bankr for transaction execution.
1.2k · bundle
enuno
onchainkit
Build onchain applications with React components and TypeScript utilities from Coinbase's OnchainKit. Use when users want to create crypto wallets, swap tokens, mint NFTs, build payments, display blockchain identities, or develop any onchain app functionality. Supports wallet connection, transaction building, token operations, identity management, and complete onchain app development workflows.
1 · bundle
qcmuu
langchain
Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.
0 · bundle