emblem-defi-yield 是做什麼的？
透過 EmblemAI 進行 DeFi 收益研究與流動性質押。探索收益機會、比較協議、使用 Nansen 檢查 DeFi 部位，並透過代幣兌換進入流動性質押。當用戶想要研究收益、尋找質押選項或審視 DeFi 部位時使用。
透過 EmblemAI 進行 DeFi 收益研究與流動性質押。探索收益機會、比較協議、使用 Nansen 檢查 DeFi 部位，並透過代幣兌換進入流動性質押。
此技能專注於 DeFi 收益研究與流動性質押，透過 EmblemAI 提供一站式解決方案。它能讓用戶探索各種 DeFi 協議的收益機會，比較不同平台的年化收益（APY），並利用 Nansen 的分析工具來檢查用戶在 DeFi 協議中的部位。此外，用戶還能直接透過代幣兌換（swap）功能進入流動性質押，無需繁瑣的手動操作。此技能支援多種主流 DeFi 協議和區塊鏈網絡，適合想要優化資產配置、尋找最佳收益機會的開發者或 DeFi 用戶。簡而言之，它結合了收益分析、協議比較、資產監控和流動性質押，讓用戶在一個地方完成所有 DeFi 相關操作。
npx skills add https://github.com/emblemcompany/agent-skills/tree/main/skills/emblem-defi-yieldInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
透過 EmblemAI 進行 DeFi 收益研究與流動性質押。探索收益機會、比較協議、使用 Nansen 檢查 DeFi 部位，並透過代幣兌換進入流動性質押。當用戶想要研究收益、尋找質押選項或審視 DeFi 部位時使用。
This repo contains 8 individual skills — each has its own dedicated page.
One-shot user management for apps, multi-chain wallet authentication, an AI-powered assistant, and AI app introspection. Use when the user wants to let website users sign in with wallets, email/password, or social login and give each user a wallet-enabled account, then embed EmblemAI chat surfaces, connect plugins, or add Reflexive observability. Provides React components, TypeScript SDKs, session-based authentication, and pointers to the React and agent-wallet skills for specialized workflows.
Connect to EmblemVault and manage wallet-aware workflows via EmblemAI with review-first, operator-controlled actions. Supports Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin. Also use when the user needs Emblem's auth model explained: one browser auth flow can log a user in with wallets, email/password, or social sign-in, while agent mode can auto-provision a profile-scoped wallet with no manual setup.
Curated prompt and usage examples for research, portfolio review, quote requests, approval-gated drafts, NFT discovery, prediction-market analysis, and assistant workflows. Emphasis is review-first, trust-boundary-aware use of external data, and explicit confirmation before any value-moving action. Use when the user wants example prompts, phrasing guidance, or sample requests for end-user EmblemAI tasks.
React integration skill for EmblemAI's one-shot user management. Use when the user wants to add website authentication plus wallet-enabled users to a React app with EmblemAuthProvider, ConnectButton, social/email/wallet login, chat components, React auth hooks, React composition patterns, or Migrate.fun React hooks.
Crypto market intelligence via EmblemAI. Trending tokens, on-chain analytics, derivatives data, and smart money tracking from CoinGecko, CoinGlass, Birdeye, and Nansen. Use when the user wants market data, trending tokens, derivatives analytics, or on-chain intelligence.
Memecoin discovery and risk assessment via EmblemAI. Trending memecoins on Solana, Base, and Hedera. Pump.fun and LaunchLab new token alerts, Clanker discovery, rug-pull detection, holder analysis, and smart money tracking. Use when the user wants to find new memecoins, check if a token is a rug pull, or scout trending low-cap tokens.
Track crypto portfolio across 7 blockchains via EmblemAI. Aggregated balances with USD values, conditional trade P&L, and DeFi position tracking via Nansen. Use when the user wants to check their portfolio, see balances across chains, or review trade positions.
Execute token swaps across 6 blockchains via EmblemAI. Automatic route optimization and cross-chain bridging via ChangeNow. Use when the user wants to swap tokens, exchange crypto, convert between currencies, or bridge assets cross-chain.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.