eastmoney_financial_data

World-Class Technology & Data Playbook. Use for: software development best practices, IT infrastructure design, cybersecurity strategy, data analytics, business intelligence, automation & DevOps, cloud computing architecture, AI/ML adoption, technical architecture decisions, digital transformation strategy, platform engineering, CI/CD pipelines, zero-trust security, data governance, FinOps, edge computing, observability, MLOps, and technology leadership. Trigger when discussing ANY technology strategy, engineering practice, data platform, security posture, cloud architecture, AI implementation, or digital transformation topic. If in doubt, use this skill.

World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.

Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.

Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (useLoaderData).

本skill基于东方财富妙想搜索能力，基于金融场景进行信源智能筛选，用于获取涉及时效性信息或特定事件信息的任务，包括新闻、公告、研报、政策、交易规则、具体事件、各种影响分析、以及需要检索外部数据的非常识信息等。避免AI在搜索金融场景信息时，参考到非权威、及过时的信息。

Database Schema Designer

Database Designer - POWERFUL Tier Skill

Comprehensive database administration, schema management, data operations, and optimization. Use when Codex needs to: (1) Create or modify database tables with proper indexing, (2) Perform bulk data insertions with type safety and constraint handling, (3) Execute complex queries with JOINs, aggregations, and subqueries, (4) Optimize query performance through indexing and execution plan analysis, (5) Manage database backups, restores, and migrations, (6) Handle special data types (BIGINT, UUID, JSONB, enums), (7) Implement transactional safety with ACID compliance, or (8) Debug and resolve database errors including constraint violations, type mismatches, and foreign key issues

Data visualization, report generation, SQL queries, and spreadsheet automation. Transform your AI agent into a data-savvy analyst that turns raw data into actionable insights.

Turn raw data into decisions with statistical rigor, proper methodology, and awareness of analytical pitfalls.

Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis.

Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.