Rocky New Adapter
rocky-data/rocky
Adding a new warehouse or source adapter crate to the Rocky engine.
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…
Install Databricks Iceberg
$ npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-iceberg --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/databricks-iceberg .claude/skills/databricks-iceberg && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "databricks-iceberg" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-iceberg into .claude/skills/databricks-iceberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-iceberg", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-icebergType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-iceberg --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/databricks-iceberg .agents/skills/databricks-iceberg && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "databricks-iceberg" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-iceberg into .agents/skills/databricks-iceberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-iceberg", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-iceberg --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/databricks-iceberg .cursor/skills/databricks-iceberg && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "databricks-iceberg" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-iceberg into .cursor/skills/databricks-iceberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-iceberg", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/databricks/databricks-agent-skills.git --path skills/databricks-iceberg--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-iceberg --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/databricks-iceberg .gemini/skills/databricks-iceberg && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "databricks-iceberg" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-iceberg into .gemini/skills/databricks-iceberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-iceberg", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install databricks/databricks-agent-skills databricks-icebergInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/databricks-iceberg .github/skills/databricks-iceberg && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "databricks-iceberg" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-iceberg into .github/skills/databricks-iceberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-iceberg", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-iceberg --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks/databricks-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/databricks-iceberg .opencode/skills/databricks-iceberg && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "databricks-iceberg" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-iceberg into .opencode/skills/databricks-iceberg/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-iceberg", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
databricks-iceberg- GitHub stars
- 345
- Token cost
- ~2.6k tokens
- SKILL.md length
- 879 words
- Files
- 9 (incl. references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
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…
- Creating Iceberg tables
- SKILL.md covers Critical Rules (always follow), Key Concepts, Quick Start and Read/Write Capability Matrix, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Enabling External Iceberg Reads (uniform) on Delta tables (including Streaming Tables and Materialized Views via compatibility mode)
What it does
Databricks Iceberg is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. 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…
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files and assets (for example `agents/openai.yaml`, `references/1-managed-iceberg-tables.md` and `references/2-uniform-and-compatibility.md`). Compatibility notes: Requires databricks CLI (= v1.0.0)
It sits in Databases, covering Data warehousing. It works with Databricks and Snowflake. The repository describes itself as: Databricks AI Tools: skills and plugins for building on Databricks with Claude Code, Cursor, Codex, GitHub Copilot, and other AI coding agents.
When your agent uses it
- 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
Example prompts
- “/databricks-iceberg”
Requirements
- Python 3
- Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0)
What it can do on your machine
Read from SKILL.md and the folder at commit f4fcec5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are sql).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.databricks.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires databricks CLI (>= v1.0.0)
From compatibility in the SKILL.md frontmatter.
Context cost
Databricks Iceberg loads about 2.6k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 145 tokens; SKILL.md has 879 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 879 words (~2,573 tokens).
“Databricks provides multiple ways to work with Apache Iceberg: native managed Iceberg tables, UniForm for Delta-to-Iceberg interoperability, and the Iceberg REST Catalog (IRC) for external engine access.”
- name
- databricks-iceberg
- compatibility
- Requires databricks CLI (>= v1.0.0)
- metadata.version
- 0.1.0
- parent
- databricks-core
Files
SKILL.md and 8 other files (references, assets) in skills/databricks-iceberg of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
- references/1-managed-iceberg-tables.md
- references/2-uniform-and-compatibility.md
- references/3-iceberg-rest-catalog.md
- references/4-snowflake-interop.md
- references/5-external-engine-interop.md
Open the folder on GitHubat commit f4fcec5
Compare with similar skills
Databricks Iceberg next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Databricks Iceberg this skilldatabricks/databricks-agent-skills | 345 | — | ~2.6k | Automated safety check: Pass | Custom licence | |
| Rocky New Adapterrocky-data/rocky | 304 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| SQL Queriesw95/awesome-claude-corporate-skills | 235 | 3 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Rocky Configrocky-data/rocky | 304 | — | ~6.9k | Automated safety check: Pass | Apache-2.0 | |
| Migrating To Amazon Redshiftaws/agent-toolkit-for-aws | 2.8k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | |
| Airflow State Storeastronomer/agents | 450 | — | ~6.1k | Automated safety check: Pass | Apache-2.0 |
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Canonical rocky.toml authoring reference. An agent skill from rocky-data/rocky.
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Migrating Dbt Project Across Platforms
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A skill your agent uses when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time…
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Related
Works with
Categories
Questions about Databricks Iceberg
What does Databricks Iceberg do?
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…. Databricks Iceberg is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. 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.
When should I use Databricks Iceberg?
Databricks Iceberg fits situations like: 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.
How do I install Databricks Iceberg in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a claude-code`. Or copy the skill folder (skills/databricks-iceberg in databricks/databricks-agent-skills) into .claude/skills/databricks-iceberg in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Iceberg in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a codex`. Or copy the skill folder (skills/databricks-iceberg in databricks/databricks-agent-skills) into .agents/skills/databricks-iceberg in your project. Codex loads it when a task matches its description.
Can I use Databricks Iceberg in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add databricks/databricks-agent-skills --skill databricks-iceberg -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/databricks-iceberg, .gemini/skills/databricks-iceberg, .github/skills/databricks-iceberg and .opencode/skills/databricks-iceberg in your project.
What does Databricks Iceberg need to run?
SKILL.md names no scripts, command-line tools or credentials: Databricks Iceberg is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0).
Does Databricks Iceberg access the network?
SKILL.md names 1 domain. As links in the text: docs.databricks.com. This is read from the text; nothing was executed.
Is Databricks Iceberg safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Databricks Iceberg use?
Databricks Iceberg has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Databricks Iceberg use?
About 2.6k tokens (SKILL.md is roughly 10k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.
What are the alternatives to Databricks Iceberg?
Skills that share tags, products or a category with Databricks Iceberg: Rocky New Adapter (rocky-data/rocky, 304 stars), SQL Queries (w95/awesome-claude-corporate-skills, 235 stars), Rocky Config (rocky-data/rocky, 304 stars) and Migrating To Amazon Redshift (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databricks Iceberg?
databricks (a GitHub organization, an official publisher) maintains it in databricks/databricks-agent-skills, which has 345 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on October 6, 2026.
Source: databricks/databricks-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.