emblem-memecoin-scout は何をしますか？
EmblemAIによるミームコイン発見とリスク評価。Solana、Base、Hedera上のトレンドミームコインを調査。Pump.funやLaunchLabの新規トークンアラート、Clankerの発見、ラグプル検出、ホルダー分析、スマートマネートラッキングを提供します。ユーザーが新しいミームコインを探したり、トークンがラグプルかどうかを確認したり、トレンドの低時価総額トークンをスカウトしたい時に使用します。
EmblemAIによるミームコイン発見とリスク評価。Solana、Base、Hedera上のトレンドミームコインを調査。Pump.funやLaunchLabの新規トークンアラート、Clankerの発見、ラグプル検出、ホルダー分析、スマートマネートラッキングを提供します。ユーザーが新しいミームコインを探したり、トークンがラグプルかどうかを確認したり、トレンドの低時価総額トークンをスカウトしたい時に使用します。
emblemcompany/emblem-memecoin-scoutは、EmblemAIを活用したミームコイン発見およびリスク評価スキルです。Solana、Base、Hederaなどの主要ブロックチェーンにおけるトレンドミームコインの検出、Pump.funやLaunchLabからの新規トークンアラート、Clanker発見、ラグプル検出、ホルダー分析、スマートマネートラッキングなど、包括的な機能を提供します。このスキルは、ユーザーが新しいミームコインを迅速に見つけたり、特定のトークンの信頼性を評価したり、低時価総額ながら急上昇の可能性があるトークンをスカウトする際に特に有用です。EmblemAIの分析エンジンをバックエンドに使用し、リアルタイムデータと履歴データの両方を活用して、投資判断をサポートします。
npx skills add https://github.com/emblemcompany/agent-skills/tree/main/skills/emblem-memecoin-scoutInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
EmblemAIによるミームコイン発見とリスク評価。Solana、Base、Hedera上のトレンドミームコインを調査。Pump.funやLaunchLabの新規トークンアラート、Clankerの発見、ラグプル検出、ホルダー分析、スマートマネートラッキングを提供します。ユーザーが新しいミームコインを探したり、トークンがラグプルかどうかを確認したり、トレンドの低時価総額トークンをスカウトしたい時に使用します。
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.