emblem-market-research 是做什麼的？
透過 EmblemAI 獲取加密貨幣市場情報。包含熱門代幣、鏈上分析、衍生品數據以及來自 CoinGecko、CoinGlass、Birdeye 和 Nansen 的聰明錢追蹤。當用戶需要市場數據、熱門代幣、衍生品分析或鏈上情報時使用。
透過 EmblemAI 獲取加密貨幣市場情報。包含熱門代幣、鏈上分析、衍生品數據以及來自 CoinGecko、CoinGlass、Birdeye 和 Nansen 的聰明錢追蹤。當用戶需要市場數據、熱門代幣、衍生品分析或鏈上情報時使用。
此技能整合了多家頂級數據來源（CoinGecko、CoinGlass、Birdeye、Nansen），透過 EmblemAI 提供全面的加密貨幣市場情報。它能幫助開發者或交易者快速獲取熱門代幣趨勢、鏈上分析、衍生品市場數據以及聰明錢（Smart Money）的追蹤資訊，無需手動查詢多個平台。支援主流 AI 代理平台如 Claude Code、Cursor 或 Codex，透過統一的 API 介面返回結構化數據，有效簡化市場研究流程，適合需要即時市場洞察或進行自動化交易策略分析的用戶。
npx skills add https://github.com/emblemcompany/agent-skills/tree/main/skills/emblem-market-researchInstalled? 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 獲取加密貨幣市場情報。包含熱門代幣、鏈上分析、衍生品數據以及來自 CoinGecko、CoinGlass、Birdeye 和 Nansen 的聰明錢追蹤。當用戶需要市場數據、熱門代幣、衍生品分析或鏈上情報時使用。
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.
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.
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.