lamindb
Provides guidance for using LaminDB, an open-source Python framework for managing biological data with FAIR principles. Covers data versioning, ontology annotation, workflow tracking, and deployment across local and cloud environments. Includes specific code examples for common operations like artifact creation, querying, and lineage visualization.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-lamindb
Repository
Skill path: scientific-skills/lamindb
Provides guidance for using LaminDB, an open-source Python framework for managing biological data with FAIR principles. Covers data versioning, ontology annotation, workflow tracking, and deployment across local and cloud environments. Includes specific code examples for common operations like artifact creation, querying, and lineage visualization.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Full Stack, DevOps.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install lamindb into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding lamindb to shared team environments
- Use lamindb for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.