Outlines Structured Generation
Orchestra-Research/AI-Research-SKILLs
Uses the Outlines library to constrain model output to a JSON schema, Pydantic model, regex or fixed set of choices when running local models.
Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling.
Install Aqua Deployment
$ npx skills add oracle/accelerated-data-science --skill aqua-deployment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oracle/accelerated-data-science aqua-deployment --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/oracle/accelerated-data-science.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/aqua-deployment .claude/skills/aqua-deployment && 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 "aqua-deployment" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-deployment into .claude/skills/aqua-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-deployment", 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/oracle/accelerated-data-science/tree/main/skills/aqua-deploymentType 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 oracle/accelerated-data-science --skill aqua-deployment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oracle/accelerated-data-science aqua-deployment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/aqua-deployment .agents/skills/aqua-deployment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aqua-deployment" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-deployment into .agents/skills/aqua-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-deployment", 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 oracle/accelerated-data-science --skill aqua-deployment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oracle/accelerated-data-science aqua-deployment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/aqua-deployment .cursor/skills/aqua-deployment && 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 "aqua-deployment" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-deployment into .cursor/skills/aqua-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-deployment", 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/oracle/accelerated-data-science.git --path skills/aqua-deployment--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 oracle/accelerated-data-science --skill aqua-deployment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oracle/accelerated-data-science aqua-deployment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/aqua-deployment .gemini/skills/aqua-deployment && 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 "aqua-deployment" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-deployment into .gemini/skills/aqua-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-deployment", 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 oracle/accelerated-data-science aqua-deploymentInstalls 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 oracle/accelerated-data-science --skill aqua-deployment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/aqua-deployment .github/skills/aqua-deployment && 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 "aqua-deployment" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-deployment into .github/skills/aqua-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-deployment", 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 oracle/accelerated-data-science --skill aqua-deployment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install oracle/accelerated-data-science aqua-deployment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/accelerated-data-science.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/aqua-deployment .opencode/skills/aqua-deployment && 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 "aqua-deployment" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-deployment into .opencode/skills/aqua-deployment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-deployment", 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
aqua-deployment- GitHub stars
- 125
- Token cost
- ~2.4k tokens
- SKILL.md length
- 355 words
- Files
- 5 (incl. references)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- UPL-1.0
At a glance
Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling.
- Wants to deploy
- SKILL.md covers Deployment Types, Python SDK Usage, CLI Usage and Invoking a Deployed Model, plus 5 more sections
- Reaches modeldeployment.us-ashburn-1.oci.customer-oci.com
- Manage model deployments
What it does
Aqua Deployment is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling. Triggered when user wants to deploy, update, or manage model deployments.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/batch-inferencing.md`, `references/lmcache.md` and `references/private-endpoints.md`).
It sits in AI & LLM Engineering, covering Deployment, LLM inference and serving and Fine-tuning. It works with vLLM and Python. The repository describes itself as: ADS is the Oracle Data Science Cloud Service's python SDK supporting, model ops (train/eval/deploy), along with running workloads on Jobs and Pipeline resources.
When your agent uses it
- Wants to deploy
- Manage model deployments
Example prompts
- “/aqua-deployment”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 0418ab4. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
modeldeployment.us-ashburn-1.oci.customer-oci.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.
Context cost
Aqua Deployment loads about 2.4k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 355 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 (UPL-1.0) doesn't allow us to republish the file, so here is its outline and opening line. It has 355 words (~2,366 tokens).
“Use this skill when the user wants to deploy, manage, or configure LLM model deployments on OCI Data Science using AI Quick Actions.”
- name
- aqua-deployment
- user-invocable
- true
- disable-model-invocation
- false
Files
SKILL.md and 4 other files (references) in skills/aqua-deployment of oracle/accelerated-data-science.
- SKILL.md
- references/batch-inferencing.md
- references/lmcache.md
- references/private-endpoints.md
- references/shapes.md
Open the folder on GitHubat commit 0418ab4
Compare with similar skills
Aqua Deployment 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 |
|---|---|---|---|---|---|---|
| Aqua Deployment this skilloracle/accelerated-data-science | 125 | — | ~2.4k | Automated safety check: Pass | UPL-1.0 | |
| Outlines Structured GenerationOrchestra-Research/AI-Research-SKILLs | 13k | 10 repos | ~4k | Automated safety check: Pass | MIT | |
| vLLM Model ServingOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~2.3k | Automated safety check: Pass | MIT | |
| SGLang Structured ServingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.9k | Automated safety check: Pass | MIT | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Dstack Prototypingdstackai/dstack | 2.3k | — | ~1.6k | Automated safety check: Pass | MPL-2.0 |
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Related
Categories
Questions about Aqua Deployment
What does Aqua Deployment do?
Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling. Aqua Deployment is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Deploy LLM models on OCI using AI Quick Actions (AQUA) - single model, multi-model, stacked (LoRA), with GPU shape selection, vLLM configuration, streaming, and tool calling.
When should I use Aqua Deployment?
Aqua Deployment fits situations like: wants to deploy; manage model deployments.
How do I install Aqua Deployment in Claude Code?
Run `npx skills add oracle/accelerated-data-science --skill aqua-deployment -a claude-code`. Or copy the skill folder (skills/aqua-deployment in oracle/accelerated-data-science) into .claude/skills/aqua-deployment in your project. Claude Code loads it when a task matches its description.
How do I install Aqua Deployment in Codex?
Run `npx skills add oracle/accelerated-data-science --skill aqua-deployment -a codex`. Or copy the skill folder (skills/aqua-deployment in oracle/accelerated-data-science) into .agents/skills/aqua-deployment in your project. Codex loads it when a task matches its description.
Can I use Aqua Deployment 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 oracle/accelerated-data-science --skill aqua-deployment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aqua-deployment, .gemini/skills/aqua-deployment, .github/skills/aqua-deployment and .opencode/skills/aqua-deployment in your project.
What does Aqua Deployment need to run?
SKILL.md names no scripts, command-line tools or credentials: Aqua Deployment is instructions for the agent only. Our summary lists: Python 3.
Does Aqua Deployment access the network?
SKILL.md names 1 domain. In commands or code: modeldeployment.us-ashburn-1.oci.customer-oci.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Aqua Deployment 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 Aqua Deployment use?
Aqua Deployment is published under the UPL-1.0 licence (the repository's licence).
How many tokens does Aqua Deployment use?
About 2.4k tokens (SKILL.md is roughly 9.5k 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 5.7k tokens, read only when the agent opens those files.
What are the alternatives to Aqua Deployment?
Skills that share tags, products or a category with Aqua Deployment: Outlines Structured Generation (Orchestra-Research/AI-Research-SKILLs, 13k stars), vLLM Model Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars), SGLang Structured Serving (Orchestra-Research/AI-Research-SKILLs, 13k stars) and SageMaker Serving Image Selection (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aqua Deployment?
oracle (a GitHub organization, an official publisher) maintains it in oracle/accelerated-data-science, which has 125 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 3, 2026.
Source: oracle/accelerated-data-science on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.