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Found 711 Skills
Use these skills when you need to explore the database schema, identify objects like views and triggers, and execute custom SQL queries to interact with your data.
Use these skills when you need to audit database health, identify storage bloat, find invalid indexes, analyze table statistics, and manage maintenance configurations like autovacuum.
Use these skills when you need to handle advanced data intelligence and predictive tasks. Use when a user asks "why" data changed or needs future projections. Provides automated insight generation and time-series forecasting.
Use when implementing features with test-driven development, writing tests before code, building domain-rich business logic, or following hexagonal architecture
Vite 8+ development with Rolldown and Oxc. Use when configuring vite.config.ts, migrating rollup/esbuild-era configs, authoring Vite plugins with environments and hook filters, or troubleshooting SSR, Module Runner, and production build behavior in Vite 8. Triggers on vite, vite.config.ts, rolldownOptions, oxc, module runner, environments, hotUpdate, and lightning css.
Manage Linear tickets, projects, milestones, and documents. Use for coordinating work across skills (orca-security, multi-repo) or tracking remediation progress.
CRITICAL RULE: You MUST use this skill whenever the task involves any machine learning tasks or data analysis. Use this skill if the user's prompt or requirements mention any of the following: * Clustering * Classification * Regression * Time series forecasting * Statistical testing * Model comparison * ML * Data analysis SQL/BigQuery ML HANDOFF: If the user requires a SQL solution, use this skill to dictate the ANALYSIS STEPS (e.g., markdown analysis cells, visualization logic), but defer to `bigquery` for all SQL syntax.
Use these skills when you need to optimize storage, identify index issues, analyze table statistics, or manage autovacuum and tablespace configurations to maintain peak database health.
Primary entry point for building, managing, and orchestrating data pipelines on Google Cloud. Guides users to the appropriate skill for dbt, Dataflow (Apache Beam), Dataform, Spark (Dataproc Serverless), BigQuery Data Transfer Service (DTS) or orchestration pipeline using Cloud Composer. Clarify requirements and resolve ambiguity for creating, updating and running data pipelines.
Use these skills when you need to monitor replication health, manage sync states between nodes, and audit database roles and security settings to ensure environment integrity.
Skill for BigQuery AI and Machine Learning queries using standard SQL and `AI.*` functions (preferred over dedicated tools).
Comprehensive DAG failure diagnosis and root cause analysis. Use for complex debugging requests requiring deep investigation like "diagnose and fix the pipeline" or "full root cause analysis".