Total 53,839 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
加密货币市场全量数据服务。覆盖 K线、持仓、爆仓、资金费率、多空比、CVD/买卖、ETF、 市场指标（恐惧贪婪/AHR999等）、新闻、巨鲸追踪、大额订单、排行榜、订单簿、资金流等。 当用户提及"BTC""比特币""以太坊""加密货币""合约""资金费率""爆仓""持仓量""恐惧贪婪指数"时触发。
美股实时行情查询。批量获取美股证券实时报价。 当用户询问"苹果实时价格""美股实时行情""AAPL报价""美股现价"时触发。
Design MEL/SRHR indicators to IPPF/UNFPA/UNAIDS publication standard. Use when Ane asks for "indicators", "KPIs", "results framework", "M&E indicators", "measurement framework", or equivalent. Enforces WHO/UNFPA (2023) disaggregation, applies Tier 1/2/3 integrity markers, defines measurement mechanisms, and flags data gaps. Distinguishes output, outcome, and impact indicators precisely.
Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1. User explicitly requests to build a data dashboard, data application, or visualization UI, and the UI pulls data from a GCP database (defaulting to BigQuery unless otherwise specified). 2. You need to generate a frontend web application to interact with, query, and visualize data from GCP data sources. 3. User wants to build a "chat with your data" experience or integrate the Gemini Data Analytics chat API into a web interface. Do NOT use when any of the following conditions are true: 1. The request is for building backend-only services. 2. The request is for simple CLI scripts or command-line applications. 3. The web application is not data-centric or does not involve visualizing/querying data from GCP sources.
Migrate Databricks workloads from classic compute to serverless compute. Scans code for serverless compatibility issues, provides concrete fixes for the serverless Spark Connect architecture, and guides the full migration to serverless environments. Use for classic-to-serverless migrations, serverless code compatibility checks, or writing new serverless-compatible notebooks and jobs. Not for classic DBR version upgrades or cluster configuration changes within classic compute.
Expert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decision support through data visualization and reporting.
Revenue operations analyst specializing in pipeline health diagnostics, deal velocity analysis, forecast accuracy, and data-driven sales coaching. Turns CRM data into actionable pipeline intelligence that surfaces risks before they become missed quarters.
Construct and run GFQL graph queries in PyGraphistry using chain-list syntax OR Cypher strings. Covers pattern matching, hop constraints, predicates, let/DAG bindings, GRAPH constructors, and remote execution. Use when requests involve subgraph extraction, path-style matching, Cypher queries, or GPU/remote graph query workflows.
Help existing PostHog customers improve their PostHog instance. Triggers on "help [customer] improve their PostHog setup", "audit [company]'s PostHog instance", "create tracking plan for [company]", "design data schema for [customer]", or requests to improve analytics coverage, fix instrumentation gaps, expand PostHog usage, or build better insights for customers already using PostHog. Use when working with a customer who already has PostHog installed.
Change the sync configuration of an existing data warehouse schema — switch sync_type, pick a different incremental_field, set primary_key_columns, choose cdc_table_mode, or change sync_frequency. Use when the user asks "switch my orders table from full refresh to incremental", "this table is syncing too slowly / too frequently", "I need to pick a different incremental column", "set up CDC for this Postgres table", or when diagnosis of a failing sync pointed to an incremental-field or PK misconfiguration.
Manage PostHog subscriptions — scheduled email, Slack, or webhook deliveries of insight or dashboard snapshots. Use when the user wants to subscribe to an insight or dashboard, check existing subscriptions, change delivery frequency, add or remove recipients, or stop receiving updates.
Query GA4 reports (users, sessions, conversions, funnels, realtime), manage properties / data streams / key events / custom dimensions / audiences / access bindings, and send Measurement Protocol events via the `ga4` CLI. Use this skill whenever the user mentions GA4, Google Analytics, property IDs starting with `properties/`, tracking events, engagement or traffic metrics, attribution, conversions, key events, audiences, BigQuery links, access roles, or realtime users — even if they don't explicitly say "GA4". Do not use for Google Search Console (see google-search-console skill) or generic web analytics where the source isn't GA4 (ask first).