API Design
WrongStack/WrongStack
A skill your agent uses when designing, implementing, or reviewing an HTTP API — endpoints, request and response shapes, errors, pagination, versioning, and authorization.
Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills.
Install Databricks Model Serving
$ npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-model-serving --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-model-serving .claude/skills/databricks-model-serving && 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-model-serving" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-model-serving into .claude/skills/databricks-model-serving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-model-serving", 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-model-servingType 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-model-serving -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-model-serving --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-model-serving .agents/skills/databricks-model-serving && 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-model-serving" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-model-serving into .agents/skills/databricks-model-serving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-model-serving", 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-model-serving -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-model-serving --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-model-serving .cursor/skills/databricks-model-serving && 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-model-serving" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-model-serving into .cursor/skills/databricks-model-serving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-model-serving", 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-model-serving--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-model-serving -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks/databricks-agent-skills databricks-model-serving --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-model-serving .gemini/skills/databricks-model-serving && 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-model-serving" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-model-serving into .gemini/skills/databricks-model-serving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-model-serving", 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-model-servingInstalls 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-model-serving -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-model-serving .github/skills/databricks-model-serving && 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-model-serving" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-model-serving into .github/skills/databricks-model-serving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-model-serving", 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-model-serving -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-model-serving --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-model-serving .opencode/skills/databricks-model-serving && 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-model-serving" agent skill from https://github.com/databricks/databricks-agent-skills/tree/main/skills/databricks-model-serving into .opencode/skills/databricks-model-serving/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "databricks-model-serving", 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-model-serving- GitHub stars
- 345
- Used in
- 1 other repo
- Token cost
- ~3.3k tokens
- SKILL.md length
- 1,094 words
- Files
- 5 (incl. references, assets)
- Skills in repo
- 32
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills.
- Asked to: CRUD serving endpoints (CLI
- SKILL.md covers Endpoint Types, Endpoint Structure, CLI Discovery — ALWAYS Do This… and Create an Endpoint, plus 7 more sections
- Calls databricks and jq
- MLflow Deployments client)
What it does
Databricks Model Serving is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Databricks Model Serving endpoint lifecycle and ops. Use when asked to: CRUD serving endpoints (CLI or MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve OpenAPI schemas; inspect logs, metrics, or permissions; manage AI Gateway rate limits; discover Foundation Model API endpoints at runtime; integrate endpoints into Databricks Apps; or stream from off-platform clients (Vercel AI SDK v6, standalone Node.js). NOT for: training, MLflow…
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files and assets (for example `agents/openai.yaml` and `references/off-platform-streaming.md`). Compatibility notes: Requires databricks CLI (= v0.294.0)
It sits in AI & LLM Engineering, covering LLM inference and serving, Deployment and REST APIs. It works with Databricks, MLflow, OpenAPI and Vercel AI SDK. 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 to: CRUD serving endpoints (CLI
- MLflow Deployments client)
- Configure traffic routing for A/B / canary deploys and zero-downtime version swaps
- Retrieve OpenAPI schemas
Example prompts
- “Use the databricks-model-serving skill to databrick Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills”
- “/databricks-model-serving”
Requirements
- Python 3
- Node.js
- Compatibility (from SKILL.md): Requires databricks CLI (>= v0.294.0)
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
Shell commands in SKILL.md call:
databricksjq
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 (>= v0.294.0)
From compatibility in the SKILL.md frontmatter.
Context cost
Databricks Model Serving loads about 3.3k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 186 tokens; SKILL.md has 1,094 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 1,094 words (~3,251 tokens).
“FIRST: Use the parent databricks-core skill for CLI basics, authentication, and profile selection.”
- name
- databricks-model-serving
- compatibility
- Requires databricks CLI (>= v0.294.0)
- metadata.version
- 0.4.0
- parent
- databricks-core
Files
SKILL.md and 4 other files (references, assets) in skills/databricks-model-serving of databricks/databricks-agent-skills.
- SKILL.md
- agents/openai.yaml
- assets/databricks.png
- assets/databricks.svg
- references/off-platform-streaming.md
Open the folder on GitHubat commit f4fcec5
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in databricks/databricks-agent-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Databricks Model Serving 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 Model Serving this skilldatabricks/databricks-agent-skills | 345 | 1 repos | ~3.3k | Automated safety check: Pass | Custom licence | |
| API DesignWrongStack/WrongStack | 368 | — | ~1.3k | Automated safety check: Pass | MIT | |
| API Architectcuriositech/some_claude_skills | 243 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| API Designmajiayu000/claude-skill-registry | 666 | 1 repos | ~542 | Automated safety check: Pass | MIT | |
| AWS AI MLaws/agent-toolkit-for-aws | 2.8k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| OpenAPI to MCP Servermcp-use/mcp-use | 11k | — | ~5.2k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Databricks Model Serving
What does Databricks Model Serving do?
Databricks Model Serving endpoint lifecycle and ops. An agent skill from databricks/databricks-agent-skills. Databricks Model Serving is an agent skill from databricks/databricks-agent-skills, published by the product's own GitHub organization. Databricks Model Serving endpoint lifecycle and ops.
When should I use Databricks Model Serving?
Databricks Model Serving fits situations like: asked to: CRUD serving endpoints (CLI; MLflow Deployments client); configure traffic routing for A/B / canary deploys and zero-downtime version swaps; retrieve OpenAPI schemas.
How do I install Databricks Model Serving in Claude Code?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a claude-code`. Or copy the skill folder (skills/databricks-model-serving in databricks/databricks-agent-skills) into .claude/skills/databricks-model-serving in your project. Claude Code loads it when a task matches its description.
How do I install Databricks Model Serving in Codex?
Run `npx skills add databricks/databricks-agent-skills --skill databricks-model-serving -a codex`. Or copy the skill folder (skills/databricks-model-serving in databricks/databricks-agent-skills) into .agents/skills/databricks-model-serving in your project. Codex loads it when a task matches its description.
Can I use Databricks Model Serving 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-model-serving -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-model-serving, .gemini/skills/databricks-model-serving, .github/skills/databricks-model-serving and .opencode/skills/databricks-model-serving in your project.
What does Databricks Model Serving need to run?
Going by SKILL.md and its folder, Databricks Model Serving 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 (>= v0.294.0).
Does Databricks Model Serving 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 Model Serving 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 Model Serving use?
Databricks Model Serving 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 Model Serving use?
About 3.3k tokens (SKILL.md is roughly 13k 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 1.6k tokens, read only when the agent opens those files.
What are the alternatives to Databricks Model Serving?
Skills that share tags, products or a category with Databricks Model Serving: API Design (WrongStack/WrongStack, 368 stars), API Architect (curiositech/some_claude_skills, 243 stars), API Design (majiayu000/claude-skill-registry, 666 stars) and AWS AI ML (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 Model Serving?
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.