Rhctl
saidake/rhctl
Run and author rhctl CLI workflows and remote environment scripts under scripts/ (PostgreSQL, JetStream, Docker, Redis, MongoDB, AWS LocalStack, execute/upload/patch).
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API.
Install Databricks Lakebase
$ npx skills add databricks/databricks-agent-skills --skill databricks-lakebase -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-lakebase --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-lakebase .claude/skills/databricks-lakebase && 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-lakebase" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-lakebase into .claude/skills/databricks-lakebase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-lakebase", 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-lakebaseType 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-lakebase -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-lakebase --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-lakebase .agents/skills/databricks-lakebase && 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-lakebase" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-lakebase into .agents/skills/databricks-lakebase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-lakebase", 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-lakebase -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-lakebase --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-lakebase .cursor/skills/databricks-lakebase && 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-lakebase" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-lakebase into .cursor/skills/databricks-lakebase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-lakebase", 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-lakebase--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-lakebase -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-lakebase --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-lakebase .gemini/skills/databricks-lakebase && 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-lakebase" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-lakebase into .gemini/skills/databricks-lakebase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-lakebase", 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-lakebaseInstalls 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-lakebase -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-lakebase .github/skills/databricks-lakebase && 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-lakebase" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-lakebase into .github/skills/databricks-lakebase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-lakebase", 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-lakebase -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-lakebase --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-lakebase .opencode/skills/databricks-lakebase && 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-lakebase" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-lakebase into .opencode/skills/databricks-lakebase/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-lakebase", 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-lakebase- GitHub stars
- 345
- Token cost
- ~5k tokens
- SKILL.md length
- 1,833 words
- Files
- 11 (incl. references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API.
- Works in 3 steps: Deploy first: databricks apps deploy… → Grant local access (if needed): assign… → Develop locally: your credentials get…
- Asked about Lakebase databases
- SKILL.md covers Capabilities, Resource Hierarchy, CLI Discovery -- ALWAYS Do… and Create a Project, plus 6 more sections
- Calls databricks, psql and python3
What it does
Databricks Lakebase is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.
Its SKILL.md is about 5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including reference files and assets (for example `agents/openai.yaml`, `references/computes-and-scaling.md` and `references/connectivity.md`). Compatibility notes: Requires databricks CLI (= v0.294.0)
It sits in Databases. It works with Databricks, PostgreSQL and Amazon Web Services. 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
- Asked about Lakebase databases
- Connecting apps to Postgres on Databricks
Example prompts
- “Use the databricks-lakebase skill to databrick Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API”
- “/databricks-lakebase”
Requirements
- Node.js
- Compatibility (from SKILL.md): Requires databricks CLI (>= v0.294.0)
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Deploy first: databricks apps deploy --profile
- Grant local access (if needed): assign databricks_superuser via UI (project creators already have access)
- Develop locally: your credentials get DML access to SP-owned schemas
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
Shell commands in SKILL.md call:
databrickspsqlpython3
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 (>= v0.294.0)
From compatibility in the SKILL.md frontmatter.
Context cost
Databricks Lakebase loads about 5k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 1,833 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 1,833 words (~4,957 tokens).
“FIRST: Use the parent databricks-core skill for CLI basics, authentication, and profile selection.”
- name
- databricks-lakebase
- compatibility
- Requires databricks CLI (>= v0.294.0)
- metadata.version
- 0.1.0
- parent
- databricks-core
Files
SKILL.md and 10 other files (references, assets) in skills/databricks-lakebase of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
- references/computes-and-scaling.md
- references/connectivity.md
- references/lakehouse-sync.md
- references/medallion-from-cdc.md
- references/off-platform.md
- references/pgvector.md
- references/synced-tables.md
Open the folder on GitHubat commit f4fcec5
Compare with similar skills
Databricks Lakebase 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 Lakebase this skilldatabricks/databricks-agent-skills | 345 | — | ~5k | Automated safety check: Pass | Custom licence | |
| Rhctlsaidake/rhctl | 106 | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Altimate Data Warehouse DelegateAltimateAI/data-engineering-skills | 127 | — | ~1.4k | Automated safety check: Pass | MIT | |
| SQL Queriesw95/awesome-claude-corporate-skills | 235 | 3 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Connecting To Data Sourceaws/agent-toolkit-for-aws | 2.8k | 1 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Rds Ossaws/agent-toolkit-for-aws | 2.8k | — | ~6.2k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Databricks Lakebase
What does Databricks Lakebase do?
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Databricks Lakebase is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API.
When should I use Databricks Lakebase?
Databricks Lakebase fits situations like: asked about Lakebase databases; connecting apps to Postgres on Databricks.
How do I install Databricks Lakebase in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-lakebase -a claude-code`. Or copy the skill folder (skills/databricks-lakebase in databricks/databricks-agent-skills) into .claude/skills/databricks-lakebase in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Lakebase in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-lakebase -a codex`. Or copy the skill folder (skills/databricks-lakebase in databricks/databricks-agent-skills) into .agents/skills/databricks-lakebase in your project. Codex loads it when a task matches its description.
Can I use Databricks Lakebase 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-lakebase -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-lakebase, .gemini/skills/databricks-lakebase, .github/skills/databricks-lakebase and .opencode/skills/databricks-lakebase in your project.
What does Databricks Lakebase need to run?
Going by SKILL.md and its folder, Databricks Lakebase needs the command-line tools its instructions call (databricks, psql and python3). Our summary lists: Node.js. Compatibility (from SKILL.md): Requires databricks CLI (>= v0.294.0).
Does Databricks Lakebase 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 Lakebase 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 Lakebase use?
Databricks Lakebase 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 Lakebase use?
About 5k tokens (SKILL.md is roughly 20k 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 12k tokens, read only when the agent opens those files.
What are the alternatives to Databricks Lakebase?
Skills that share tags, products or a category with Databricks Lakebase: Rhctl (saidake/rhctl, 106 stars), Altimate Data Warehouse Delegate (AltimateAI/data-engineering-skills, 127 stars), SQL Queries (w95/awesome-claude-corporate-skills, 235 stars) and Connecting To Data Source (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 Lakebase?
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.