StarRocks SQL Doc Auto-Fix
StarRocks/starrocks
Proposes verified fixes for failing SQL examples in StarRocks docs across three languages and several versions, then opens draft pull requests and never merges.
Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP.
Install Databricks Data Discovery
$ npx skills add databricks/databricks-agent-skills --skill databricks-data-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-data-discovery --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-data-discovery .claude/skills/databricks-data-discovery && 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-data-discovery" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-data-discovery into .claude/skills/databricks-data-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-data-discovery", 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-data-discoveryType 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-data-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-data-discovery --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-data-discovery .agents/skills/databricks-data-discovery && 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-data-discovery" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-data-discovery into .agents/skills/databricks-data-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-data-discovery", 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-data-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-data-discovery --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-data-discovery .cursor/skills/databricks-data-discovery && 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-data-discovery" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-data-discovery into .cursor/skills/databricks-data-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-data-discovery", 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-data-discovery--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-data-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-data-discovery --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-data-discovery .gemini/skills/databricks-data-discovery && 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-data-discovery" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-data-discovery into .gemini/skills/databricks-data-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-data-discovery", 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-data-discoveryInstalls 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-data-discovery -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-data-discovery .github/skills/databricks-data-discovery && 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-data-discovery" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-data-discovery into .github/skills/databricks-data-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-data-discovery", 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-data-discovery -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-data-discovery --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-data-discovery .opencode/skills/databricks-data-discovery && 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-data-discovery" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-data-discovery into .opencode/skills/databricks-data-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-data-discovery", 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-data-discovery- GitHub stars
- 345
- Token cost
- ~2.1k tokens
- SKILL.md length
- 1,048 words
- Files
- 4 (incl. assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP.
- Tasks that involve SQL
- SKILL.md covers Routing — Genie vs your coding…, Why prefer Genie for data…, How to ask Genie and If Genie One isn't available —…, plus 2 more sections
- Calls databricks
What it does
Databricks Data Discovery is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP. MUST be invoked whenever the user asks to find or locate data ('what tables are in X', 'where does X live', 'which catalog/schema has Y'), answer a natural-language question about the data, or write a SQL query.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including assets (for example `agents/openai.yaml`). Compatibility notes: Requires databricks CLI = v1.9.0 for databricks genie ask (older CLIs fall back to the deprecated databricks experimental genie ask alias)
It sits in Databases, covering SQL. It works with Databricks, SQL and Model Context Protocol. 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
- Tasks that involve SQL
Example prompts
- “what tables are in X”
- “where does X live”
- “which catalog/schema has Y”
- “/databricks-data-discovery”
Requirements
- Compatibility (from SKILL.md): Requires databricks CLI >= v1.9.0 for `databricks genie ask` (older CLIs fall back to the deprecated `databricks experimental genie ask` alias)
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:
databricks
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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 >= v1.9.0 for `databricks genie ask` (older CLIs fall back to the deprecated `databricks experimental genie ask` alias)
From compatibility in the SKILL.md frontmatter.
Context cost
Databricks Data Discovery loads about 2.1k tokens when it runs. Until then it costs about 84 tokens; SKILL.md has 1,048 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 1,048 words (~2,095 tokens).
“This skill routes data work — decide first:”
- name
- databricks-data-discovery
- compatibility
- Requires databricks CLI >= v1.9.0 for `databricks genie ask` (older CLIs fall back to the deprecated `databricks experimental genie ask` alias)
- metadata.version
- 0.1.0
- parent
- databricks-core
Files
SKILL.md and 3 other files (assets) in skills/databricks-data-discovery of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
Open the folder on GitHubat commit f4fcec5
Compare with similar skills
Databricks Data Discovery 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 Data Discovery this skilldatabricks/databricks-agent-skills | 345 | — | ~2.1k | Automated safety check: Pass | Custom licence | |
| StarRocks SQL Doc Auto-FixStarRocks/starrocks | 12k | — | ~7.6k | Automated safety check: Notes | Apache-2.0 | |
| Schema Explorationtimescale/pg-aiguide | 1.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| NpgsqlrestNpgsqlRest/NpgsqlRest | 132 | — | ~7k | Automated safety check: Notes | MIT | |
| Modelersidequery/sidemantic | 129 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Mendix Odata Pushdownmendixlabs/mxcli | 128 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Databricks Data Discovery
What does Databricks Data Discovery do?
Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP. Databricks Data Discovery is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Discover, explore, and query Databricks data via Genie — the CLI equivalent of the Genie One MCP.
When should I use Databricks Data Discovery?
Databricks Data Discovery fits situations like: tasks that involve SQL.
How do I install Databricks Data Discovery in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-data-discovery -a claude-code`. Or copy the skill folder (skills/databricks-data-discovery in databricks/databricks-agent-skills) into .claude/skills/databricks-data-discovery in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Data Discovery in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-data-discovery -a codex`. Or copy the skill folder (skills/databricks-data-discovery in databricks/databricks-agent-skills) into .agents/skills/databricks-data-discovery in your project. Codex loads it when a task matches its description.
Can I use Databricks Data Discovery 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-data-discovery -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-data-discovery, .gemini/skills/databricks-data-discovery, .github/skills/databricks-data-discovery and .opencode/skills/databricks-data-discovery in your project.
What does Databricks Data Discovery need to run?
Going by SKILL.md and its folder, Databricks Data Discovery needs the command-line tools its instructions call (databricks). Compatibility (from SKILL.md): Requires databricks CLI >= v1.9.0 for `databricks genie ask` (older CLIs fall back to the deprecated `databricks experimental genie ask` alias).
Does Databricks Data Discovery access the network?
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.
Is Databricks Data Discovery 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 Data Discovery use?
Databricks Data Discovery 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 Data Discovery use?
About 2.1k tokens (SKILL.md is roughly 8.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Databricks Data Discovery?
Skills that share tags, products or a category with Databricks Data Discovery: StarRocks SQL Doc Auto-Fix (StarRocks/starrocks, 12k stars), Schema Exploration (timescale/pg-aiguide, 1.9k stars), Npgsqlrest (NpgsqlRest/NpgsqlRest, 132 stars) and Modeler (sidequery/sidemantic, 129 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databricks Data Discovery?
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.