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Found 711 Skills
Automated data quality and transformation capabilities for Dataform/dbt/BigQuery pipelines. Processes data sourced from BigQuery or Cloud Storage (GCS), applying best practices for data ingestion, movement, schema mapping, and comprehensive data cleaning.
Provides expert guidance for troubleshooting Cloud Composer (Apache Airflow) and Orchestration pipelines. Use this skill when the user asks to generate Root Cause Analysis (RCA), troubleshoot or fix a failed pipeline, DAG in Composer environment and generate RCA report.
Guidelines for identifying and resolving missing Google Cloud authentication and Application Default Credentials (ADC). Use this skill if `gcloud`, `bq`, `dataform`, or Python libraries return authentication errors.
Use these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.
Vitest 4+ testing with Vite. Use when configuring vitest.config.ts, writing unit/integration/browser tests, implementing mocks with vi.fn/vi.spyOn/vi.mock, setting up V8 or Istanbul coverage, or migrating from Jest or older Vitest workspace setups. Triggers on vitest, vitest.config.ts, vi.mock, browser mode, vitest/browser, projects, setupFiles, and toMatchScreenshot.
Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, databases or tables - etc. 2. You need to retrieve the schema, metadata, or governance policies for a GCP data asset. 3. You have a keyword or topic (e.g., "sales data") but lack the specific table or resource ID. 4. You are attempting to find data using `bq ls`, as this skill offers a superior approach. Don't use when: - Assets are outside Google Cloud
Use these skills to set up and optimize production-ready vector workloads by simply expressing your intent and performance requirements.
Scaffold brand-new DatoCMS plugin projects with datocms-plugin-sdk and connect(). Use when users want to create a new plugin folder from scratch, bootstrap the Vite/React package structure, choose initial plugin surfaces such as field extensions, config screens, sidebars, pages, asset sources, or dropdown actions, and wire the first hook implementation. Prefer `datocms-plugin-builder` for edits to an existing plugin project.
Modify existing DatoCMS plugins built with datocms-plugin-sdk and connect(). Use when users ask to patch or maintain an existing plugin project: config screen edits, hook additions, field extension tweaks, sidebar/page/outlet changes, validation updates, settings cleanup, dependency fixes, or other day-to-day plugin maintenance. Prefer `datocms-plugin-scaffold` when starting a new plugin from scratch.
Use when building interactive components for predefined slots in Wix business solutions. Triggers include site plugin, slot, Wix app integration, plugin explorer, business solution extension.
Orchestrates comprehensive performance audits across full-stack monorepos. Coordinates performance-expert, design-consistency-auditor, accessibility, security-expert, and qa-reviewer skills to audit frontend, backend, database, browser extensions, and shared packages.
Expert guidance for Microsoft Dynamics 365 Business Central development using AL language and extensions