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Found 271 Skills
How has a wallet's portfolio changed over time? Historical balances, current snapshot, and per-token PnL.
Is smart money exiting a token I hold? Net flow direction, seller breakdown by label, and recent SM trades.
What tokens is smart money accumulating before they pump? Token screener with SM filter cross-referenced against netflow.
What is a known whale doing across spot and perps? Identity, holdings, recent trades, open perp positions, counterparties.
Who does this wallet transact with? Direct counterparties, entity clusters, and multi-hop BFS network trace.
What is a Polymarket trader betting on? Their recent trades, PnL by market, and current positions.
When the user wants to analyze Google Search Console data, use GSC API, or interpret search performance. Also use when the user mentions "GSC," "Search Console," "indexing report," "Core Web Vitals," "Enhancements," "Insights report," "search performance," "search queries," "search performance report," "URL inspection," "impressions," "CTR," "average position," "index coverage," "title tag," "meta description," "GSC data analysis," "Search Console API," or "searchanalytics.query."
Monitors China A-share concept sectors and Dragon Tiger List (龙虎榜) via Tushare, then generates structured markdown reports. Use when users ask to track sector momentum, fetch top_list (doc_id=106), remove ST stocks, rank movers, or save monitoring output as .md files.
Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.
Discover trending tokens — screener, SM holdings, Nansen indicators, and flow intelligence for promising finds. Use when scanning for new tokens or screening what's hot.
Interpret and act on Amazon Brand Analytics data. Analyze Search Frequency Rank (SFR), click share, conversion share, market basket analysis, and repeat purchase behavior to optimize your Amazon strategy.
Analyze and correlate Infrahub data using the MCP server. Use when querying live infrastructure data to answer operational questions, detect drift, correlate node types, investigate service impact, check maintenance windows, or produce ad-hoc reports — without writing pipeline code.