Doca Flow Grpc Server
NVIDIA/skills
PLAINTEXT-ONLY: the shipped docaflowgrpc server uses grpc::InsecureServerCredentials() with NO TLS / mTLS / token-auth knob on the binary — transport security must come from external infrastructure…
Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC.
Install Databricks Zerobus Ingest
$ npx skills add databricks/databricks-agent-skills --skill databricks-zerobus-ingest -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-zerobus-ingest --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-zerobus-ingest .claude/skills/databricks-zerobus-ingest && 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-zerobus-ingest" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-zerobus-ingest into .claude/skills/databricks-zerobus-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-zerobus-ingest", 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-zerobus-ingestType 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-zerobus-ingest -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-zerobus-ingest --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-zerobus-ingest .agents/skills/databricks-zerobus-ingest && 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-zerobus-ingest" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-zerobus-ingest into .agents/skills/databricks-zerobus-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-zerobus-ingest", 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-zerobus-ingest -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-zerobus-ingest --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-zerobus-ingest .cursor/skills/databricks-zerobus-ingest && 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-zerobus-ingest" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-zerobus-ingest into .cursor/skills/databricks-zerobus-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-zerobus-ingest", 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-zerobus-ingest--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-zerobus-ingest -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-zerobus-ingest --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-zerobus-ingest .gemini/skills/databricks-zerobus-ingest && 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-zerobus-ingest" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-zerobus-ingest into .gemini/skills/databricks-zerobus-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-zerobus-ingest", 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-zerobus-ingestInstalls 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-zerobus-ingest -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-zerobus-ingest .github/skills/databricks-zerobus-ingest && 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-zerobus-ingest" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-zerobus-ingest into .github/skills/databricks-zerobus-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-zerobus-ingest", 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-zerobus-ingest -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-zerobus-ingest --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-zerobus-ingest .opencode/skills/databricks-zerobus-ingest && 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-zerobus-ingest" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-zerobus-ingest into .opencode/skills/databricks-zerobus-ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-zerobus-ingest", 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-zerobus-ingest- GitHub stars
- 345
- Token cost
- ~3.1k tokens
- SKILL.md length
- 1,053 words
- Files
- 9 (incl. references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC.
- Works in 4 steps: A Unity Catalog managed Delta table to… → A service principal id and secret with… → The Zerobus server endpoint for your… → …
- Creating producers that write directly to Unity Catalog tables without a message bus
- SKILL.md covers What Is Zerobus Ingest?, Quick Decision: What Are You…, Common Libraries and Prerequisites, plus 9 more sections
- Calls databricks and jq
What it does
Databricks Zerobus Ingest is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic.
Its SKILL.md is about 3.1k 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-setup-and-authentication.md` and `references/2-python-client.md`). Compatibility notes: Requires databricks CLI (= v1.0.0)
It sits in Backend & APIs, covering gRPC and Protobuf, Data pipelines and ETL and Error handling. It works with Databricks, gRPC, Python and TypeScript. 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 producers that write directly to Unity Catalog tables without a message bus
- Working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust
- Generating Protobuf schemas from UC tables
- Implementing stream-based ingestion with ACK handling and retry logic
Example prompts
- “/databricks-zerobus-ingest”
Requirements
- Python 3
- Node.js
- Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0)
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- A Unity Catalog managed Delta table to ingest into
- A service principal id and secret with MODIFY and SELECT on the target table
- The Zerobus server endpoint for your workspace region
- The Zerobus Ingest SDK installed for your target language
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:
databricksjq
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 Zerobus Ingest loads about 3.1k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 103 tokens; SKILL.md has 1,053 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 1,053 words (~3,052 tokens).
“Build clients that ingest data directly into Databricks Delta tables via the Zerobus gRPC API.”
- name
- databricks-zerobus-ingest
- compatibility
- Requires databricks CLI (>= v1.0.0)
- metadata.version
- 0.1.0
Files
SKILL.md and 8 other files (references, assets) in skills/databricks-zerobus-ingest of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
- references/1-setup-and-authentication.md
- references/2-python-client.md
- references/3-multilanguage-clients.md
- references/4-protobuf-schema.md
- references/5-operations-and-limits.md
Open the folder on GitHubat commit f4fcec5
Compare with similar skills
Databricks Zerobus Ingest 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 Zerobus Ingest this skilldatabricks/databricks-agent-skills | 345 | — | ~3.1k | Automated safety check: Pass | Custom licence | |
| Doca Flow Grpc ServerNVIDIA/skills | 3.5k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Cross-Language Coding Standardszereight/gitlab-mcp | 2k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Regenerate Grpc StubsGetBindu/Bindu | 10k | — | ~810 | Automated safety check: Pass | Custom licence | |
| Temporal Developertemporalio/skill-temporal-developer | 230 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Subspace Clientsdallison/subspace | 104 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Databricks Zerobus Ingest
What does Databricks Zerobus Ingest do?
Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Databricks Zerobus Ingest is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC.
When should I use Databricks Zerobus Ingest?
Databricks Zerobus Ingest fits situations like: creating producers that write directly to Unity Catalog tables without a message bus; working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust; generating Protobuf schemas from UC tables; implementing stream-based ingestion with ACK handling and retry logic.
How do I install Databricks Zerobus Ingest in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-zerobus-ingest -a claude-code`. Or copy the skill folder (skills/databricks-zerobus-ingest in databricks/databricks-agent-skills) into .claude/skills/databricks-zerobus-ingest in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Zerobus Ingest in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-zerobus-ingest -a codex`. Or copy the skill folder (skills/databricks-zerobus-ingest in databricks/databricks-agent-skills) into .agents/skills/databricks-zerobus-ingest in your project. Codex loads it when a task matches its description.
Can I use Databricks Zerobus Ingest 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-zerobus-ingest -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-zerobus-ingest, .gemini/skills/databricks-zerobus-ingest, .github/skills/databricks-zerobus-ingest and .opencode/skills/databricks-zerobus-ingest in your project.
What does Databricks Zerobus Ingest need to run?
Going by SKILL.md and its folder, Databricks Zerobus Ingest needs the command-line tools its instructions call (databricks and jq). Our summary lists: Python 3; Node.js. Compatibility (from SKILL.md): Requires databricks CLI (>= v1.0.0).
Does Databricks Zerobus Ingest 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 Zerobus Ingest 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 Zerobus Ingest use?
Databricks Zerobus Ingest 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 Zerobus Ingest use?
About 3.1k tokens (SKILL.md is roughly 12k 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 9.7k tokens, read only when the agent opens those files.
What are the alternatives to Databricks Zerobus Ingest?
Skills that share tags, products or a category with Databricks Zerobus Ingest: Doca Flow Grpc Server (NVIDIA/skills, 3.5k stars), Cross-Language Coding Standards (zereight/gitlab-mcp, 2k stars), Regenerate Grpc Stubs (GetBindu/Bindu, 10k stars) and Temporal Developer (temporalio/skill-temporal-developer, 230 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Databricks Zerobus Ingest?
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.