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lakehouse-explorer

Explore and query your Fivetran Managed Data Lake Service (MDLS).

Skill by fivetran

IndexedNOASSERTION★ 24
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/fivetran-lakehouse-explorer

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Explore and query your Fivetran Managed Data Lake Service (MDLS). As part of MDLS, Fivetran manages a Polaris catalog and the underlying Apache Iceberg tables where your connector data lands — your fully managed lakehouse. This skill gives you an agentic interface to explore that data (read-only in the current MDLS release). Use for ANY question about your MDLS tables: schemas, namespaces, row counts, sync status, data freshness, partitioning, snapshots, or running queries against your Iceberg data. Trigger on: "what tables do we have", "explore my lakehouse", "query the lakehouse", "check sync status", "how fresh is our data", "what's in MDLS", "describe this table", "how many rows", "show me our Iceberg tables".

Use cases: data

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/lakehouse-explorer

Tools it pre-approves 4

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • bash(duckdb,
  • curl,
  • python3,
  • pip)

What's inside

Skill name
lakehouse-explorer
Description
Explore and query your Fivetran Managed Data Lake Service (MDLS). As part of MDLS, Fivetran manages a Polaris catalog and the underlying Apache Iceberg tables where your connector data lands — your fully managed lakehouse. This skill gives you an agentic interface to explore that data (read-only in the current MDLS release). Use for ANY question about your MDLS tables: schemas, namespaces, row counts, sync status, data freshness, partitioning, snapshots, or running queries against your Iceberg data. Trigger on: "what tables do we have", "explore my lakehouse", "query the lakehouse", "check sync status", "how fresh is our data", "what's in MDLS", "describe this table", "how many rows", "show me our Iceberg tables".
License
NOASSERTION
Allowed tools
bash(duckdb,, curl,, python3,, pip)
Metadata
short-description: Query Fivetran-managed Iceberg tables via DuckDB and Polaris, cost-efficiently
Instructions
714 lines in SKILL.md · view on GitHub

Before installing

  • Instructions call the network

Agent Skills spec issues

  • body: 714 lines (spec recommends under 500)

Files (2)

  • SKILL.md
  • lakehouse_config.json.example

The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub

More from fivetran/skills

Signals

Stars
24
Forks
1
Open issues
0
Last commit (this folder)
May 20, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
NOASSERTION
Repository
github.com/fivetran/skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

More from fivetran

Cite this page

lakehouse-explorer skill. Agent Mart. https://agentmart.dev/skills/fivetran-lakehouse-explorer (last updated 2026-10-24)