Results for “onchain-game”

8 skills
More results
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
bankrbot
Darksol Random Oracle
Provides on-chain verifiable randomness for coin flips, dice rolls, raffles, shuffles, and game outcomes via the DARKSOL Random Oracle API on Base.
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
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
bankrbot
Opensea
Query NFT and token data, trade NFTs on Seaport, swap ERC20 tokens via DEX aggregator, configure wallet signing providers, and build/register/gate AI agent tools on Base.
1.2k · bundle
michaelschecht
UI UX Design
Design game user interfaces and user experience flows including HUD, menus, inventory screens, accessibility, and player feedback systems. Use when designing how the player interacts with game systems visually. Also trigger for "game UI", "game UX", "HUD design", "menu design", "inventory UI", "game accessibility", or "game interface".
0
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