databricks-iceberg
This skill enables Apache Iceberg table management on Databricks, supporting managed Iceberg tables, Delta-to-Iceberg interoperability via UniForm, and…
Identity proven by GitHub's verified organisation badge (databricks)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode
- License
- LicenseRef-Databricks (restricted)
- Pin
- e3df77bpinned Oct 9, 2026
- Context cost
- about 2,400 tokenswhen the skill loads
- GitHub stars
- 345on databricks/databricks-agent-skills
- Scripts
- None found
What it does
“Apache Iceberg tables on Databricks — Managed Iceberg tables, External Iceberg Reads (fka Uniform), Compatibility Mode, Iceberg REST Catalog (IRC), Iceberg v3, Snowflake interop, PyIceberg, OSS Spark, external engine access and credential vending. Use when creating Iceberg tables, enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode), configuring external engines to read Databricks tables via Unity Catalog IRC, integrating with Snowflake catalog to read Foreign Iceberg tables”
Generated summary from the skill's own text
This skill enables Apache Iceberg table management on Databricks, supporting managed Iceberg tables, Delta-to-Iceberg interoperability via UniForm, and external engine access through the Iceberg REST Catalog. It provides DDL patterns, configuration guidance, and integration with external tools like PyIceberg, Spark, Snowflake, and Flink.
When to use it
- Creating native Iceberg tables with proper partitioning and clustering strategies
- Converting existing Delta tables to expose Iceberg metadata for external engines
- Enabling streaming tables and materialized views to be readable as Iceberg via Compatibility Mode
- Connecting external engines and tools to read or write Databricks tables via REST Catalog
When not to
- Requiring Change Data Feed functionality on tables, as it is unsupported on managed Iceberg
- Using shallow clones, which are not supported for Iceberg tables
- Working in workspaces without Unity Catalog enabled
Install
Restricted license: install from the publisher's repository and read its terms.
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add databricks/databricks-agent-skills --skill databricks-icebergInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install databricks/databricks-agent-skills databricks-iceberg@e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6Installs the commit we checked (e3df77b).
Copy by hand
Download the folder at e3df77b and put it in .claude/skills/databricks-iceberg for Claude Code and in .agents/skills/databricks-iceberg for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Claude Code plugin
/plugin install databricks@claude-plugins-officialThe publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "databricks-iceberg" by Databricks. Source, pinned to commit e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6: https://github.com/databricks/databricks-agent-skills/tree/e3df77b3f0eb5d70392eb35c6761ca0f2929a4f6/plugins/databricks/claude/skills/databricks-iceberg 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/databricks-iceberg/ for Claude Code and .agents/skills/databricks-iceberg/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Its license is restricted or not stated. Show me the license terms from the repository before you copy anything. Listing and checks: https://www.agentnative.dev/skills/databricks/databricks-iceberg
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md10 KB · b76fb8d5c8aa
- agents/
- openai.yaml628 B · d4c54bda7627
- assets/
- databricks.png15 KB · 06873c31ebda
- databricks.svg582 B · 00e528e4d5e6
- references/
- 1-managed-iceberg-tables.md8.7 KB · 1b4c99d3f80a
- 2-uniform-and-compatibility.md8.2 KB · 1012d5c32647
- 3-iceberg-rest-catalog.md4.4 KB · 4eccb0643b13
- 4-snowflake-interop.md14 KB · 145d995f2bd8
- 5-external-engine-interop.md7.4 KB · c8e2637aad07
9 files, 69 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
Skill folder on GitHub at e3df77bAlso in
The same SKILL.md content appears in these places too. We list it once and credit the oldest public source.
- databricks/databricks-agent-skills/plugins/databricks/codex/skills/databricks-iceberg
- databricks/databricks-agent-skills/plugins/databricks/copilot/skills/databricks-iceberg
- databricks/databricks-agent-skills/plugins/databricks/cursor/skills/databricks-iceberg
- databricks/databricks-agent-skills/skills/databricks-iceberg
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