Lakehouse Skills

cmungall/lakehouse-skills·2 plugins

Add lakehouse-skills to query JGI and KBase/BERDL genomics lakehouses from Claude via MCP-oriented REST and Dremio skills.

Overview

lakehouse-skills is a plugin marketplace for the Build phase that ships kbase-query and jgi-lakehouse skills for querying KBase/BERDL and JGI genomics lakehouses from Claude Code.

What is this marketplace?

2 plugins: kbase-query and jgi-lakehouse
kbase-query: KBase/BERDL Datalake via MCP REST API
jgi-lakehouse: JGI Dremio Lakehouse (GOLD, IMG databases)
strict mode false on both plugins for flexible invocation
Marketplace metadata v1.0.0 for genomics lakehouse querying
2 plugins in marketplace: kbase-query, jgi-lakehouse
Marketplace metadata version 1.0.0

Compatible agents: Claude Code, Cursor, any compatible agent

Community signal: 2 GitHub stars.

What problem does it solve?

Genomics and BERDL data live in federated lakehouses, so agents cannot answer dataset questions without REST and Dremio integrations.

Who is it for?

Researchers and solo scientific developers wiring Claude to KBase/BERDL or JGI lakehouse endpoints with MCP-friendly skills.

Skip if: General app builders without lakehouse access, credentials, or genomics data needs.

What do I get? / Deliverables

After installing both plugins, Claude Code can invoke lakehouse skills to query KBase/BERDL via MCP REST and JGI GOLD/IMG via Dremio.

kbase-query plugin with ./kbase-query skills for BERDL datalake queries
jgi-lakehouse plugin with ./jgi-lakehouse skills for GOLD and IMG
Two-plugin catalog for genomics lakehouse agent workflows

Plugins in this marketplace

2 plugins — install individually after you add the marketplace.

PluginVersion

Kbase QuerySkills for querying the KBase/BERDL Datalake via the MCP REST API—Jgi LakehouseSkills for querying the JGI Dremio Lakehouse (GOLD, IMG databases)—

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Journey fit

Primary fit

BuildIntegrations & version control

Data lakehouse query plugins are integrations built during product and research work, so the canonical shelf is build integrations. Integrations subphase fits MCP REST and Dremio-facing skills that connect the agent to external scientific data platforms.

How it compares

Scientific datalake MCP integration marketplace, not a generic SQL or CRUD backend skill.

Common Questions / FAQ

Who is Lakehouse Skills for?

Builders and researchers who query KBase/BERDL or JGI Dremio lakehouses and want those paths packaged as Claude Code plugins with dedicated skills.

When should I use Lakehouse Skills?

Use it during build or research integration work when answers must come from institutional genomics lakehouses instead of local files or mock data.

How do I add Lakehouse Skills to my agent?

Register the cmungall/Lakehouse Skills marketplace in Claude Code, then enable kbase-query and/or jgi-lakehouse and configure API access per your environment.