KlimabevaegelsenOfficial·10 Agent Skills Included

landbruget.dk

Danish agricultural data pipelines, maps, and transparency dashboards

Collects, cleans, and publishes Danish agricultural data from 18+ government sources into one queryable platform. Runs medallion-architecture pipelines for fields, livestock, pesticides, subsidies, and workplace safety without manual data wrangling. Includes skills for geospatial processing, data catalog queries, E2E testing, and frontend design to ship transparent data products faster.

39|15

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npx skills add Klimabevaegelsen/landbruget.dk --all -g -y

Available:

Gives your AI agent the monorepo structure, data quality rules (CVR/CHR formats, EPSG:25832 processing), security constraints, and verification commands needed to work safely across the pipelines and frontends.

All Skills in This Repository (10)

Pure Emerald Level Indicators

📦 In Repo

Klimabevaegelsen

playwright-testing

Guide writing and debugging Playwright E2E tests with data-testid selectors.

supabase-migration

Manage Supabase database migrations, RLS policies, and PostGIS geometry.

code-review

Automate code review for security, performance, and best-practice compliance.

data-pipeline-operations

Build, debug, and optimize Python data pipelines with GCS workflows.

gcs-data-catalog

Discover Danish agricultural datasets in GCS and inspect schemas.

gcs-medarbejdere-data

Discover employee and workplace safety datasets across Gold, Silver, and Bronze layers.

gcs-landbrugsareal-data

Query GCS agricultural land data for field boundaries, crops, and organic status.

gcs-husdyr-data

Retrieves and organizes pig movement and health data from Google Cloud Storage.

gcs-okonomi-data

Query and summarize Danish agricultural economic data from GCS Parquet datasets.

gcs-miljo-data

Retrieve and analyze Danish environmental datasets from Google Cloud Storage.

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Frequently Asked Questions

FAQPage Schema

How to install landbruget.dk?▼

Run `npx skills add Klimabevaegelsen/landbruget.dk --all -g -y` in your terminal to install all skills in this suite globally.

What data does Landbruget.dk provide?▼

It organizes 130+ Danish agricultural datasets covering field boundaries, crops, livestock movements, pesticides, subsidies, and workplace inspections, all joinable on CVR, CHR, or BFE identifiers.

How to query the agricultural datasets?▼

The data catalog skills guide your agent to query Parquet files on Cloudflare R2 directly with DuckDB, including ready-made join patterns and schema references per domain.

Does it handle Danish geospatial data correctly?▼

Yes. The pipeline skills enforce processing in EPSG:25832 (meters) and only transform to EPSG:4326 at final upload, preventing common buffer and distance calculation errors.

Can non-developers explore the data?▼

Yes. The repository includes a data-explorer app where users ask plain-language questions that get converted to SQL running in the browser, no coding required.