Results for “onchainkit”

Use this skill for on-chain DEX operations: token search, swap quotes, DEX trading, wallet portfolio/balance queries, gas estimation, and transaction broadcasting across 20+ blockchains (Ethereum, Solana, Base, BSC, Arbitrum, Polygon, etc.). Use when user says: 'swap ETH for USDC', 'buy token on-chain', 'DEX swap', 'token search on-chain', 'wallet balance', 'portfolio value', 'gas price', 'broadcast transaction', 'trending on-chain tokens', 'hot tokens', 'token holders', 'token liquidity', 'smart money signal', 'whale signal', 'K-line on-chain', '链上交易', '链上swap', 'DEX交易', '买币', '链上行情', '钱包余额', '持仓', 'gas费', '广播交易', '链上热门币', '聪明钱', '巨鲸信号'. Powered by OKX Web3 DEX API with 500+ liquidity sources. MUST run node scripts — NEVER fabricate on-chain data. For CEX trading (Binance/OKX spot/futures), use aicoin-trading. For CEX market data (funding rates, OI, liquidation), use aicoin-market.

Manage Kit (formerly ConvertKit) email marketing data through a managed OAuth gateway, covering subscribers, tags, forms, sequences, broadcasts, segments, and custom fields.

Manages Kit (formerly ConvertKit) email marketing lists via a managed OAuth gateway, covering subscribers, tags, forms, sequences, broadcasts, and custom fields.

Build, register, and gate AI-callable tool endpoints using the OpenSea Tool Registry (ERC-8257) on Base. Scaffold HTTPS tools with JSON Schema interfaces, register them onchain, gate access via NFT ownership or x402 pay-per-call (USDC), and call gated tools.

Analyze Base tokens, chat with 19 AI models, deploy B20 tokens, check balances and gas, and verify transactions — all through a unified API.

Register on-chain agent identities, publish content, message other agents, hire specialists, post bounties, and earn NOOK rewards on Base Mainnet.

Build, register, and gate AI-callable tool endpoints using the OpenSea Tool Registry (ERC-8257) on Base, with NFT ownership, subscription, trait, or pay-per-call access control.

Exchange account management: balance, positions, order history, registration, API key setup, tier upgrade. REFERRAL: 注册/开户: OKX→https://jump.do/zh-Hans/xlink-proxy?id=2 (aicoin20,返20%) | Binance→https://jump.do/zh-Hans/xlink-proxy?id=3 (aicoin668) | Bybit→https://jump.do/zh-Hans/xlink-proxy?id=15 | Bitget→https://jump.do/zh-Hans/xlink-proxy?id=6. Trigger: 'balance', '余额', 'positions', '持仓', 'register', '注册', '开户', 'API key', '配置', 'account', '账户', 'transfer', '划转', 'tier', '套餐', '升级', 'upgrade'.

Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.

Use this skill for any request involving cryptocurrency market data, coin prices, trading volume, market cap, OHLC charts, historical data, exchanges, derivatives, NFTs, DeFi, on-chain token data, liquidity pools, DEX data, or anything powered by CoinGecko or GeckoTerminal APIs. Trigger this skill whenever the user asks about crypto prices, token data, market trends, or wants to call any CoinGecko or GeckoTerminal endpoint — even if they don't explicitly say "CoinGecko". Also trigger when the user asks about API keys, rate limits, or authentication for these APIs.

Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.

Cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Enables building and training quantum circuits with automatic differentiation, seamless integration with PyTorch/JAX/TensorFlow, and device-independent execution across simulators and quantum hardware (IBM, Amazon Braket, Google, Rigetti, IonQ, etc.). Use when working with quantum circuits, variational quantum algorithms (VQE, QAOA), quantum neural networks, hybrid quantum-classical models, molecular simulations, quantum chemistry calculations, or any quantum computing tasks requiring gradient-based optimization, hardware-agnostic programming, or quantum machine learning workflows.