Data & Analytics

Controller-service-query layered API architecture with data enrichment and parallel fetching. Use when building REST APIs or GraphQL resolvers with clean separation of concerns. Triggers on API architecture, service layer, controller pattern, data enrichment, REST API.

Generates structured data markup (Schema.org JSON-LD) to enable rich results in search engines including FAQ snippets, How-To cards, Product listings, Reviews, and more.

Microsoft Excel API integration with managed OAuth. Read and write Excel workbooks, worksheets, ranges, tables, and charts stored in OneDrive. Use this skill when users want to read or modify Excel spreadsheets, manage worksheet data, work with tables, or access cell values. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

Query and manage Odoo ERP data (helpdesk tickets, projects, tasks, CRM leads, knowledge articles) via the vodoo CLI

Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.

Trade prediction markets with natural language via Foreseek. Matches your beliefs to Kalshi contracts and executes trades. Use when user wants to bet on or trade predictions about elections, politics, sports outcomes, economic data (Fed rates, CPI, GDP), crypto prices, weather events, or any real-world event outcomes. Supports viewing positions, parsing predictions, executing market/limit orders, managing orders, and checking account status.

No description provided.

Google Analytics API integration with managed OAuth. Manage accounts, properties, and data streams (Admin API). Run reports on sessions, users, page views, and conversions (Data API). Use this skill when users want to configure or query Google Analytics. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).

Use when optimizing SQL queries, designing database schemas, or tuning database performance. Invoke for complex queries, window functions, CTEs, indexing strategies, query plan analysis.

Automated data visualization for EDA, model performance, and business reporting. Activates for "visualize data", "create plots", "EDA", "exploratory analysis", "confusion matrix", "ROC curve", "feature distribution", "correlation heatmap", "plot results", "dashboard". Generates publication-quality visualizations integrated with SpecWeave increments.

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

Comprehensive feature engineering for ML pipelines: data quality assessment, feature creation, selection, transformation, and encoding. Activates for "feature engineering", "create features", "feature selection", "data preprocessing", "handle missing values", "encode categorical", "scale features", "feature importance". Ensures features are production-ready with automated validation, documentation, and integration with SpecWeave increments.