Klimabevægelsen
Official@klimabevaegelsen · Denmark
Offers specialized data engineering and quality assurance services for Danish agricultural, environmental, and economic datasets hosted on Google Cloud Storage.
Agent Skills by Klimabevægelsen
Showing 10 vetted skills indexed across 1 GitHub repositories.
Klimabevaegelsenplaywright-testing
Guide writing and debugging Playwright E2E tests with data-testid selectors.
Klimabevaegelsensupabase-migration
Manage Supabase database migrations, RLS policies, and PostGIS geometry.
Klimabevaegelsencode-review
Automate code review for security, performance, and best-practice compliance.
Klimabevaegelsendata-pipeline-operations
Build, debug, and optimize Python data pipelines with GCS workflows.
Klimabevaegelsengcs-data-catalog
Discover Danish agricultural datasets in GCS and inspect schemas.
Klimabevaegelsengcs-medarbejdere-data
Discover employee and workplace safety datasets across Gold, Silver, and Bronze layers.
Klimabevaegelsengcs-landbrugsareal-data
Query GCS agricultural land data for field boundaries, crops, and organic status.
Klimabevaegelsengcs-husdyr-data
Retrieves and organizes pig movement and health data from Google Cloud Storage.
Klimabevaegelsengcs-okonomi-data
Query and summarize Danish agricultural economic data from GCS Parquet datasets.
Klimabevaegelsengcs-miljo-data
Retrieve and analyze Danish environmental datasets from Google Cloud Storage.
Frequently Asked Questions About Klimabevægelsen
FAQPage SchemaWhat specific data tasks can be performed using these skills?▼
These skills enable the retrieval, organization, and analysis of Danish agricultural, environmental, and economic datasets. You can perform schema inspection, summarize Parquet-based economic records, and manage complex geospatial data including pig movement logs and field boundaries stored within Google Cloud Storage.
Which technical personas benefit from these capabilities?▼
Data engineers, database administrators, and quality assurance testers working with Danish public sector or agricultural data will find these skills relevant. The manifest is specifically designed for professionals managing GCS-based data lakes and those maintaining robust web application testing frameworks.
What are the prerequisites for implementing these data operations?▼
Implementation requires active access to Google Cloud Storage buckets containing the specified Danish datasets and a configured Supabase environment for database management. Users must also have a functional testing environment capable of executing Playwright-based end-to-end test suites using standard data-testid selectors.