Lamindb
技能 已验证 活跃This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
To enable AI agents to effectively manage, query, and ensure the reproducibility of biological datasets using the LaminDB framework.
功能
- Manages biological datasets (scRNA-seq, spatial, flow cytometry)
- Tracks computational workflows and data lineage
- Curates and validates data with biological ontologies
- Integrates with MLOps platforms (W&B, MLflow) and workflow managers (Nextflow)
- Supports various storage systems (S3, GCS, local)
使用场景
- Managing and querying biological datasets with standardized metadata
- Ensuring reproducibility through automatic lineage tracking and versioning
- Validating and annotating biological data using ontologies
- Integrating ML pipelines and computational workflows with data management
非目标
- Performing raw bioinformatics analyses without LaminDB context
- Replacing dedicated tools for primary data generation (e.g., sequencing)
- Providing a generic data lakehouse solution outside of biological research context
安装
npx skills add K-Dense-AI/claude-scientific-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Alterlab Lamindb
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