What problem does it solve? Finding promising crypto tokens before committing capital requires manually cross-referencing trending lists, new listings, and whale activity across multiple data providers. This Skill automates that discovery phase by pulling structured JSON from Nansen smart-money data, BirdEye trending and new-listing feeds, and CoinGecko search popularity, then intersecting the results to surface the strongest candidates. ## Core Features & Use Cases - Trending Token Discovery: Combine token-data trending (BirdEye) with market trending (CoinGecko) and cross-check against smart-money netflows to rank what is hot right now. - Smart-Money Tracking: Query Nansen netflows, holdings, DEX trades, perp trades, and DCA orders to see where whales and smart traders are accumulating. - New Listing Validation: Pull newly listed tokens and flag only those showing early smart-money buys or unusual volume. - Use Case: A trader asks "what are whales buying on Solana?" — the Skill runs smart-money netflow, holdings, and dcas, filters out stablecoins, ranks by net inflow, and verifies Hyperliquid tradability before presenting actionable ideas. ## Quick Start Ask the agent what tokens are trending right now and where smart money is rotating, and it will run the discovery commands and report ranked candidates.
