- Correct method: tiledb.cloud.vcf.read() not query_variants()
- Fix parameter: attrs not attributes
- Add namespace parameter for billing account
- Add .to_pandas() conversion step
- Use realistic example with TileDB-Inc dataset URI
- Remove Java references (focus on Python and CLI)
- Move all TileDB-Cloud content to bottom of document
- Update export example to show VCF format with .export() method
- Simplify 'When to Use' section focusing on open source capabilities
- Better document organization with cloud scaling at the end
- Add preferred conda environment setup with Python <3.10
- Include M1 Mac specific configuration (CONDA_SUBDIR=osx-64)
- Install tiledbvcf-py via mamba from tiledb channel
- Restore normal Python examples (not Docker-only)
- Keep Docker as alternative installation method
- Correct installation method: Docker images, not pip packages
- Update examples to show Docker container usage
- Based on actual TileDB-VCF repository documentation
- Add comprehensive TileDB-VCF skill by Jeremy Leipzig
- Covers open source TileDB-VCF for learning and moderate-scale work
- Emphasizes TileDB-Cloud for large-scale production genomics (1000+ samples)
- Includes detailed reference documentation:
* ingestion.md - Dataset creation and VCF ingestion
* querying.md - Efficient variant queries
* export.md - Data export and format conversion
* population_genomics.md - GWAS and population analysis workflows
- Features accurate TileDB-Cloud API patterns from official repository
- Highlights scale transition: open source → TileDB-Cloud for enterprise
