emblem-memecoin-scout은(는) 무엇을 하나요?
EmblemAI 기반 밈코인 발견 및 위험 평가 도구입니다. Solana, Base, Hedera의 트렌딩 밈코인, Pump.fun 및 LaunchLab 신규 토큰 알림, Clanker 발견, 러그풀 탐지, 홀더 분석, 스마트 머니 추적 기능을 제공합니다. 사용자가 새로운 밈코인을 찾거나, 토큰의 러그풀 여부를 확인하거나, 트렌딩 저시가총액 토큰을 스카우트할 때 사용하세요.
EmblemAI 기반 밈코인 발견 및 위험 평가 도구입니다. Solana, Base, Hedera의 트렌딩 밈코인, Pump.fun 및 LaunchLab 신규 토큰 알림, Clanker 발견, 러그풀 탐지, 홀더 분석, 스마트 머니 추적 기능을 제공합니다. 사용자가 새로운 밈코인을 찾거나, 토큰의 러그풀 여부를 확인하거나, 트렌딩 저시가총액 토큰을 스카우트할 때 사용하세요.
이 스킬은 EmblemAI 플랫폼을 활용하여 밈코인(Memecoin)의 발견과 위험 평가를 수행하는 AI 에이전트 도구입니다. Solana, Base, Hedera 체인에서 트렌딩 중인 밈코인을 실시간으로 탐지하고, Pump.fun, LaunchLab과 같은 런치패드의 신규 토큰 알림, Clanker 발견, 러그풀(Rug-pull) 위험 탐지, 홀더 분석, 스마트 머니(고래/초기 투자자) 추적 기능을 지원합니다. 이 스킬은 사용자가 새로운 저시가총액 밈코인을 발굴하거나, 특정 토큰의 사기 위험을 평가하고, 초기 단계에서 유망한 프로젝트를 찾는 데 유용합니다. Claude Code, Cursor, Codex 등 다양한 AI 에이전트 환경에서 동작하며, EmblemAI의 데이터 API를 기반으로 실시간 온체인 데이터와 시장 심리를 분석하여 결과를 제공합니다. 개발자, 트레이더, 디젠(Degen) 투자자 모두에게 적합한 올인원 밈코인 스카우팅 솔루션입니다.
npx skills add https://github.com/emblemcompany/agent-skills/tree/main/skills/emblem-memecoin-scoutInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
EmblemAI 기반 밈코인 발견 및 위험 평가 도구입니다. Solana, Base, Hedera의 트렌딩 밈코인, Pump.fun 및 LaunchLab 신규 토큰 알림, Clanker 발견, 러그풀 탐지, 홀더 분석, 스마트 머니 추적 기능을 제공합니다. 사용자가 새로운 밈코인을 찾거나, 토큰의 러그풀 여부를 확인하거나, 트렌딩 저시가총액 토큰을 스카우트할 때 사용하세요.
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.
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.
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.