Total 30,737 skills, Data Processing has 1471 skills
Showing 12 of 1471 skills
Tushare is a financial data interface package with rich data content, including market data such as stocks, funds, futures, digital currencies, and fundamental data such as corporate finance and fund managers. This skill is designed for proxy access scenarios, and the interface calling syntax is consistent with the official Tushare Pro.
Use this skill when implementing data validation, data quality monitoring, data lineage tracking, data contracts, or Great Expectations test suites. Triggers on schema validation, data profiling, freshness checks, row-count anomalies, column drift, expectation suites, contract testing between producers and consumers, lineage graphs, data observability, and any task requiring data integrity enforcement across pipelines.
Use this skill when performing exploratory data analysis, statistical testing, data visualization, or building predictive models. Triggers on EDA, pandas, matplotlib, seaborn, hypothesis testing, A/B test analysis, correlation, regression, feature engineering, and any task requiring data analysis or statistical inference.
Use this skill when calculating, analyzing, or reporting SaaS business metrics. Triggers on MRR, ARR, churn rate, LTV, CAC, LTV:CAC ratio, cohort analysis, net revenue retention, expansion revenue, board deck metrics, investor reporting, unit economics, payback period, or SaaS financial modeling. Covers metric definitions, formulas, spreadsheet implementation, cohort tables, and board-ready reporting for founders, finance teams, and growth operators.
Use this skill when working with PostHog - product analytics, web analytics, feature flags, A/B testing, experiments, session replay, error tracking, surveys, LLM observability, or data warehouse. Triggers on any PostHog-related task including capturing events, identifying users, evaluating feature flags, creating experiments, setting up surveys, tracking errors, and querying analytics data via the PostHog API or SDKs (posthog-js, posthog-node, posthog-python).
Use this skill when building budgets, conducting variance analysis, implementing rolling forecasts, or allocating costs. Triggers on FP&A, budgeting, variance analysis, rolling forecasts, cost allocation, headcount planning, department budgets, and any task requiring financial planning or budget management.
Use this skill when measuring CSAT, NPS, resolution time, deflection rates, or analyzing support trends. Triggers on CSAT, NPS, resolution time, deflection rate, support metrics, trend analysis, support reporting, and any task requiring customer support data analysis or reporting.
Use this skill when building financial models, DCF analyses, revenue forecasts, scenario analyses, or cap tables. Triggers on DCF, LBO, revenue forecasting, scenario analysis, cap tables, financial projections, valuation, unit economics, and any task requiring financial model design or analysis.
Use this skill when building data pipelines, ETL/ELT workflows, or data transformation layers. Triggers on Airflow DAG design, dbt model creation, Spark job optimization, streaming vs batch architecture decisions, data ingestion, data quality checks, pipeline orchestration, incremental loads, CDC (change data capture), schema evolution, and data warehouse modeling. Acts as a senior data engineer advisor for building reliable, scalable data infrastructure.
Use this skill when preparing P&L statements, balance sheets, cash flow reports, board decks, or KPI dashboards. Triggers on financial statements, P&L, balance sheet, cash flow statement, board reporting, KPI dashboards, investor reporting, and any task requiring financial report preparation or presentation.
Use this skill when writing regular expressions, debugging pattern matching, optimizing regex performance, or implementing text validation. Triggers on regex, regular expressions, pattern matching, lookahead, lookbehind, named groups, capture groups, backreferences, and any task requiring text pattern matching.
Use this skill when building real-time data pipelines, stream processing jobs, or change data capture systems. Triggers on tasks involving Apache Kafka (producers, consumers, topics, partitions, consumer groups, Connect, Streams), Apache Flink (DataStream API, windowing, checkpointing, stateful processing), event sourcing implementations, CDC with Debezium, stream processing patterns (windowing, watermarks, exactly-once semantics), and any pipeline that processes unbounded data in motion rather than data at rest.