Total 50,476 skills, Data Processing has 2559 skills
Showing 12 of 2559 skills
Evaluate FX carry trade opportunities by combining spot rates, forward points, interest rate differentials, volatility surface analysis, and historical price trends. Use when analyzing carry trades, comparing FX forward curves, assessing carry-to-vol ratios, or evaluating currency pair opportunities.
In-depth research on stocks, industries, markets, and business models. Integrates Grok API (X/Web Search) and yfinance to generate comprehensive analytical reports.
Coin comprehensive analysis. Use this skill whenever the user asks to analyze a single coin. Trigger phrases include: analyze, how is, worth buying, look at. MCP tools: info_coin_get_coin_info, info_marketsnapshot_get_market_snapshot, info_markettrend_get_technical_analysis, news_feed_search_news, news_feed_get_social_sentiment.
Trend and technical analysis. Use this skill whenever the user asks for technical or trend analysis of one coin. Trigger phrases include: technical analysis, K-line, RSI, MACD, trend, support, resistance. MCP tools: info_markettrend_get_kline, info_markettrend_get_indicator_history, info_markettrend_get_technical_analysis, info_marketsnapshot_get_market_snapshot.
Stata statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in Stata for academic papers.
Generate TradingView-style candlestick charts with indicators. Use when the user wants a visual chart, price visualization, or technical analysis plot.
Design clear, accessible data visualizations with appropriate chart selection and styling.
Convert Dune (Trino) SQL queries to Allium (Snowflake) SQL. SQL dialect conversions (Trino → Snowflake) apply to all chains. Comprehensive Solana and EVM chain mappings included.
Use this skill when building dbt models, designing semantic layers, defining metrics, creating self-serve analytics, or structuring a data warehouse for analyst consumption. Triggers on dbt project setup, model layering (staging, intermediate, marts), ref() and source() usage, YAML schema definitions, metrics definitions, semantic layer configuration, dimensional modeling, slowly changing dimensions, data testing, and any task requiring analytics engineering best practices.
Use this skill when designing data warehouses, building star or snowflake schemas, implementing slowly changing dimensions (SCDs), writing analytical SQL for Snowflake or BigQuery, creating fact and dimension tables, or planning ETL/ELT pipelines for analytics. Triggers on dimensional modeling, surrogate keys, conformed dimensions, warehouse architecture, data vault, partitioning strategies, materialized views, and any task requiring OLAP schema design or warehouse query optimization.
Cluster and attribute related wallets — funding chains, shared signers, CEX deposit patterns. Use when tracing wallet ownership, comparing two wallets, finding wallet relationships, governance voters, or related address clusters.
Is SM buying this token on one chain but selling on another? Detect capital rotation.