emblem-ai-prompt-examples 是做什麼的？
為研究、投資組合審查、報價請求、審批門控草稿、NFT 發現、預測市場分析和助手工作流程提供精心策劃的提示與使用範例。強調審查優先、信任邊界感知的外部數據使用，以及在任何有價值移動操作前進行明確確認。當使用者需要針對端使用者 EmblemAI 任務的範例提示詞、措辭指導或樣本請求時，請使用此技能。
為研究、投資組合審查、報價請求、審批門控草稿、NFT 發現、預測市場分析和助手工作流程提供精心策劃的提示與使用範例，強調審查優先、信任邊界感知的外部數據使用，以及在任何有價值移動操作前進行明確確認。
此技能提供一系列精心策劃的提示詞與使用範例，專門針對 EmblemAI 平台上的常見任務設計，包括研究、投資組合審查、報價請求、審批門控草稿、NFT 發現、預測市場分析以及助手工作流程。其核心設計理念是「審查優先」和「信任邊界感知」，強調在處理外部數據時保持謹慎，並在執行任何可能改變價值的操作（如轉帳或交易）之前，要求使用者進行明確確認。該技能適用於需要提示詞範例、措辭指導或端使用者任務樣本請求的情境，支援多種 Agent 平台（如 Claude Code、Cursor），幫助開發者快速產出安全、合規的互動流程。透過這些範例，使用者可以學習如何建立結構化、可審計的提示，減少自動化過程中的風險。
npx skills add https://github.com/emblemcompany/agent-skills/tree/main/skills/emblem-ai-prompt-examplesInstalled? 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 →
為研究、投資組合審查、報價請求、審批門控草稿、NFT 發現、預測市場分析和助手工作流程提供精心策劃的提示與使用範例。強調審查優先、信任邊界感知的外部數據使用，以及在任何有價值移動操作前進行明確確認。當使用者需要針對端使用者 EmblemAI 任務的範例提示詞、措辭指導或樣本請求時，請使用此技能。
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.
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.
DeFi yield research and liquid staking via EmblemAI. Discover yield opportunities, compare protocols, check DeFi positions with Nansen, and enter liquid staking via token swaps. Use when the user wants to research yields, find staking options, or review DeFi positions.
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.