Boettiger Lab, UC Berkeley
Official@boettiger-lab · Berkeley, CA
Department of Environmental Science, Policy and Management
Agent Skills by Boettiger Lab, UC Berkeley
Showing 12 vetted skills indexed across 1 GitHub repositories.
boettiger-labnrp-s3
Automate Ceph S3 bucket creation, access control, and syncing on NRP Nautilus.
boettiger-labcng-datasets
Verify geospatial data sources and orchestrate Kubernetes dataset workflows.
boettiger-labgeo-agent-training
Analyze geo-agent logs to diagnose inefficiencies and trace root causes.
boettiger-laboci-artifacts
Store and version large files in OCI registries linked to GitHub repositories.
boettiger-labgdal-spatial
Inspect and convert remote geospatial data via GDAL VSI prefixes.
boettiger-labmaplibre-expressions
Write MapLibre GL JS expressions with correct match and literal-wrapped array syntax.
boettiger-labboettiger-lab-stack
Identify the responsible repository for issues across the boettiger-lab stack.
boettiger-labnrp-k8s
Automate policy-compliant workload deployment on the NRP Nautilus Kubernetes cluster.
boettiger-labgithub-app-auth
Mint GitHub App installation tokens for authenticated git and gh operations.
boettiger-labduckdb-spatial
Clarify DuckDB spatial extension pitfalls for ST_Read and read_parquet with remote files.
boettiger-labgithub-rulesets
Enforce GitHub branch-protection rulesets and merge settings via gh CLI.
boettiger-labstac-navigation
Traverse STAC catalogs to determine dataset availability across root and sub-collections.
Frequently Asked Questions About Boettiger Lab, UC Berkeley
FAQPage SchemaWhat specific tasks does the Boettiger Lab stack enable for researchers?▼
The stack enables the management of large-scale geospatial datasets, the deployment of containerized workloads on NRP Nautilus, and the enforcement of repository governance. It provides specific methods for STAC catalog navigation, GDAL-based remote data conversion, and OCI-compliant versioning of large research files.
Which technical personas benefit from these repository resources?▼
These resources are designed for environmental data scientists, research software engineers, and infrastructure administrators working within academic or high-performance computing environments. The stack is particularly suited for those managing complex geospatial pipelines and Kubernetes-based research environments requiring strict branch protection and authentication standards.
What are the primary dependencies for implementing these research stacks?▼
Implementation requires access to the NRP Nautilus cluster, active GitHub App credentials for repository operations, and familiarity with GDAL and DuckDB spatial extensions. Users must also configure OCI registries for artifact storage and ensure local environments support the specific syntax requirements for MapLibre GL JS expressions.