Verify geospatial data sources and orchestrate Kubernetes dataset workflows.
npx skills add https://github.com/boettiger-lab/agent-skills --skill cng-datasets
Please help me install this Agent Skill. Skill: cng-datasets Source: https://github.com/boettiger-lab/agent-skills/tree/main/cng-datasets Command: npx skills add https://github.com/boettiger-lab/agent-skills --skill cng-datasets
Process geospatial datasets into cloud-native formats (GeoParquet, PMTiles, H3 hex Parquet) using the cng-datasets CLI and NRP Kubernetes. Covers the full workflow: URL verification, raw S3 upload, YAML generation, cluster deployment, monitoring, and documentation. Use when processing any geospatial dataset in the data-workflows repo, or when working with the cng-datasets CLI.
Run the cng-datasets workflow command with your dataset name, source URL, and bucket to generate Kubernetes YAML and deploy the processing pipeline.
High-intent search queries and answers about installing and using this skill.
You can orchestrate end-to-end geospatial workflows on Kubernetes by generating pipeline YAML locally and deploying it to your cluster. This covers source URL verification, raw S3 upload, in-cluster execution, monitoring, and documentation.
To convert raw geospatial data into GeoParquet, PMTiles, or H3 hex Parquet, upload your source data to cloud storage, generate the processing pipeline YAML, and execute the workflow in-cluster to produce multi-format outputs suitable for analytics and web maps.
Yes, processing geospatial datasets in-cluster requires the cng-datasets CLI, Kubernetes access, and local Python tooling for setup. These prerequisites enable pipeline YAML generation, deployment, and monitoring of the data-processing workflow.
Yes, this workflow applies to both single- and multi-layer geospatial datasets. After verifying the source URL and uploading raw data, it generates pipeline YAML and orchestrates in-cluster execution to produce your desired cloud-native outputs.
Running geospatial workflows locally limits you to YAML generation and setup, preventing in-cluster deployment, monitoring, and orchestrated execution. You must deploy the generated pipeline to Kubernetes to fully process datasets into your target formats.
You verify geospatial data sources using URL verification steps within the CLI workflow before uploading raw data. This ensures source validity prior to generating pipeline YAML and orchestrating the in-cluster processing workflow.
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