Total 52,553 skills, Data Processing has 2636 skills
Showing 12 of 2636 skills
Query real-time macroeconomic data including GDP, unemployment, inflation (CPI, PCE), interest rates, housing data, and consumer sentiment. Use this skill whenever the user asks about macroeconomic conditions, economic indicators, the Fed, interest rates, inflation, employment, labor market, housing market, yield curve, or any broad economic data point.
基于ByteHouse MCP Server，生成数据资产目录和血缘分析的技能，用于获取数据库表结构、生成数据资产目录、分析表之间的血缘关系。当用户需要获取ByteHouse数据库的表结构、生成数据资产目录、分析表之间的血缘关系时，使用此Skill。
Fetch structured stock sentiment across Reddit, X.com, news, and Polymarket using the Adanos Finance API. Use this skill whenever the user asks how much people are talking about a stock, how hot a ticker is on social platforms, how many Polymarket bets exist for a company, whether sources are aligned, or to compare stock sentiment across multiple tickers. Triggers include: "social sentiment on TSLA", "how hot is NVDA on X.com", "how many Reddit mentions does AAPL have", "compare sentiment on AMD vs NVDA", "how many Polymarket bets on Microsoft", "is Reddit aligned with X on META", "stock buzz", "bullish percentage", and any mention of cross-source stock sentiment research. This skill is READ-ONLY and does not place trades or modify anything.
Terminus App integration. Manage data, records, and automate workflows. Use when the user wants to interact with Terminus App data.
Inside Airbnb data warehouse built with Snowflake and dbt, demonstrating modern analytics engineering patterns with staging, intermediate, and mart layers.
Compute market-data and trading analytics with the `fintech-algorithms` npm package — 324 zero-dependency TypeScript algorithms covering technical indicators (RSI, MACD, moving averages, Bollinger Bands, ATR, OBV, Stochastic), candlestick and chart patterns, market breadth, bar construction from tick data, OHLC validation and cleaning, corporate actions, index and benchmark construction, market microstructure, matching engines, execution and TCA, statistical time series, on-chain metrics and EPS analytics. Use when asked to analyse a price series, compute or explain an indicator, detect a candlestick or chart pattern, build bars from ticks, validate or clean market data, wire up a market-data provider, or when writing code that needs any of these calculations to be correct rather than approximated.
선관위·권익위·정보공개포털·주요 지방의회 등 검증된 공개 표면에서 공무국외출장/국외훈련 보고서·현황을 조회하고, 첨부 원문이 있으면 kordoc으로 사실·공개성·검토 신호만 구조화한다. 부정부패 판정 도구가 아니다.
조달청 나라장터 부정당제재업체정보를 공공데이터포털 API(k-skill-proxy 경유)로 조회한다. 사업자등록번호 정확 일치로 조회시점 현재 유효한 입찰참가자격 제한(부정당제재)의 기간·제재기관·근거법률을 확인한다.
Build ETL pipelines and analytics dashboards for the Harvard Art Museums API using Python, SQL, and Streamlit
Sets up and manages ClickHouse using the clickhousectl CLI — installs and runs a local ClickHouse server for development, and creates managed ClickHouse Cloud services for production (authentication, service creation, schema migration, application connection). Use when the user wants to build an application with ClickHouse, set up a local ClickHouse dev environment, create tables and start querying, deploy ClickHouse to production or ClickHouse Cloud, or migrate from a local setup to the cloud.
Analyze user retention by cohort. Use when: measuring customer retention; understanding lifecycle patterns; comparing acquisition cohorts; tracking engagement over time; identifying churn risks
Twelve Data integration. Manage data, records, and automate workflows. Use when the user wants to interact with Twelve Data data.