Chdb Datastore
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a…
$ npx skills add databricks/databricks-agent-skills --skill databricks-genie-agents -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-genie-agents --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-genie-agents .claude/skills/databricks-genie-agents && 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-genie-agents" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-genie-agents into .claude/skills/databricks-genie-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-genie-agents", 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-genie-agentsType 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-genie-agents -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-genie-agents --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-genie-agents .agents/skills/databricks-genie-agents && 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-genie-agents" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-genie-agents into .agents/skills/databricks-genie-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-genie-agents", 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-genie-agents -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-genie-agents --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-genie-agents .cursor/skills/databricks-genie-agents && 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-genie-agents" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-genie-agents into .cursor/skills/databricks-genie-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-genie-agents", 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-genie-agents--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-genie-agents -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-genie-agents --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-genie-agents .gemini/skills/databricks-genie-agents && 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-genie-agents" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-genie-agents into .gemini/skills/databricks-genie-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-genie-agents", 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-genie-agentsInstalls 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-genie-agents -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-genie-agents .github/skills/databricks-genie-agents && 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-genie-agents" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-genie-agents into .github/skills/databricks-genie-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-genie-agents", 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-genie-agents -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-genie-agents --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-genie-agents .opencode/skills/databricks-genie-agents && 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-genie-agents" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-genie-agents into .opencode/skills/databricks-genie-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-genie-agents", 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.
databricks-genie-agentsCreate, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a…
Databricks Genie Agents is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a specific Agent via the Conversation API. For general data questions or finding data across your workspace, use databricks-data-discovery (Genie One) instead.
Its SKILL.md is about 980 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/create-genie-agent.md` and `references/diagnose-genie-agent.md`). Compatibility notes: Requires databricks CLI (= v1.0.0)
It works with Databricks and SQL. 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.
Read from SKILL.md and the folder at commit f4fcec5. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Requires databricks CLI (>= v1.0.0)
From compatibility in the SKILL.md frontmatter.
Databricks Genie Agents loads about 980 tokens when it runs, and up to ~29k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 324 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 324 words (~980 tokens).
“Create, manage, and query Genie Agents (formerly Genie Spaces) - natural language interfaces for SQL-based data exploration.”
SKILL.md and 10 other files (references, assets) in skills/databricks-genie-agents of databricks/databricks-agent-skills.
Open the folder on GitHubat commit f4fcec5
Databricks Genie Agents 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 Genie Agents this skilldatabricks/databricks-agent-skills | 345 | — | ~980 | Automated safety check: Pass | Custom licence | |
| Chdb Datastorevemetric/vemetric | 394 | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Dbt Databricks PR Readydatabricks/dbt-databricks | 379 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Tool Selectiondatabricks-solutions/ai-dev-kit | 1.9k | — | ~519 | Automated safety check: Pass | Custom licence | |
| Mendix Odata Pushdownmendixlabs/mxcli | 128 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| SQL Correctnessdatabricks-solutions/ai-dev-kit | 1.9k | — | ~438 | Automated safety check: Pass | Custom licence |
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
databricks/dbt-databricks
A skill your agent uses for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch.
databricks-solutions/ai-dev-kit
Evaluates whether the agent selected appropriate MCP tools instead of shell workarounds.
mendixlabs/mxcli
Push OData query options into the SQL of a Mendix resource served by a read microflow, so $filter, $orderby, $top, $skip, $count and the key lookup reach the database instead of being silently…
databricks-solutions/ai-dev-kit
SQL evaluation criteria for Databricks. An agent skill from databricks-solutions/ai-dev-kit.
rocky-data/rocky
Databricks REST API and SQL reference for Rocky's warehouse adapter.
databricks/databricks-agent-skills
Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities.
databricks/databricks-agent-skills
Generate realistic synthetic data using Spark + Faker (strongly recommended).
databricks/databricks-agent-skills
Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills.
databricks/databricks-agent-skills
Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.
databricks/databricks-agent-skills
Comprehensive guide to Spark Structured Streaming for production workloads.
databricks/databricks-agent-skills
Design the UX of custom-code Databricks Apps (AppKit/React) data screens — KPI/overview pages, reports, charts, tables, and Genie/chat data assistants — mapped to concrete AppKit components.
Works with
Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a…. Databricks Genie Agents is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Create, manage, and query Databricks Genie Agents — curated, per-data natural-language agents (formerly Genie Spaces): build, export/import, migrate across workspaces, and ask questions of a specific Agent via the Conversation API.
Run `npx skills add databricks/databricks-agent-skills --skill databricks-genie-agents -a claude-code`. Or copy the skill folder (skills/databricks-genie-agents in databricks/databricks-agent-skills) into .claude/skills/databricks-genie-agents in your project. Claude Code loads it when a task matches its description.
Run `npx skills add databricks/databricks-agent-skills --skill databricks-genie-agents -a codex`. Or copy the skill folder (skills/databricks-genie-agents in databricks/databricks-agent-skills) into .agents/skills/databricks-genie-agents in your project. Codex loads it when a task matches its description.
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-genie-agents -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-genie-agents, .gemini/skills/databricks-genie-agents, .github/skills/databricks-genie-agents and .opencode/skills/databricks-genie-agents in your project.
SKILL.md names no scripts, command-line tools or credentials: Databricks Genie Agents is instructions for the agent only. Our summary lists: Python 3. Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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.
Databricks Genie Agents has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 980 tokens (SKILL.md is roughly 3.9k 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 28k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Databricks Genie Agents: Chdb Datastore (vemetric/vemetric, 394 stars), Dbt Databricks PR Ready (databricks/dbt-databricks, 379 stars), Tool Selection (databricks-solutions/ai-dev-kit, 1.9k stars) and Mendix Odata Pushdown (mendixlabs/mxcli, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.