Qwen Mtp Gguf
R6410418/Jackrong-llm-finetuning-guide
Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release.
Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK.
Install Aqua Model Lifecycle
$ npx skills add oracle/accelerated-data-science --skill aqua-model-lifecycle -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oracle/accelerated-data-science aqua-model-lifecycle --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-model-lifecycle .claude/skills/aqua-model-lifecycle && 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-model-lifecycle" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-model-lifecycle into .claude/skills/aqua-model-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-model-lifecycle", 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-model-lifecycleType 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-model-lifecycle -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oracle/accelerated-data-science aqua-model-lifecycle --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-model-lifecycle .agents/skills/aqua-model-lifecycle && 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-model-lifecycle" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-model-lifecycle into .agents/skills/aqua-model-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-model-lifecycle", 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-model-lifecycle -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oracle/accelerated-data-science aqua-model-lifecycle --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-model-lifecycle .cursor/skills/aqua-model-lifecycle && 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-model-lifecycle" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-model-lifecycle into .cursor/skills/aqua-model-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-model-lifecycle", 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-model-lifecycle--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-model-lifecycle -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oracle/accelerated-data-science aqua-model-lifecycle --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-model-lifecycle .gemini/skills/aqua-model-lifecycle && 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-model-lifecycle" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-model-lifecycle into .gemini/skills/aqua-model-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-model-lifecycle", 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-model-lifecycleInstalls 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-model-lifecycle -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-model-lifecycle .github/skills/aqua-model-lifecycle && 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-model-lifecycle" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-model-lifecycle into .github/skills/aqua-model-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-model-lifecycle", 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-model-lifecycle -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-model-lifecycle --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-model-lifecycle .opencode/skills/aqua-model-lifecycle && 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-model-lifecycle" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/aqua-model-lifecycle into .opencode/skills/aqua-model-lifecycle/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aqua-model-lifecycle", 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-model-lifecycle- GitHub stars
- 125
- Token cost
- ~1.4k tokens
- SKILL.md length
- 224 words
- Files
- 3 (incl. references)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- UPL-1.0
At a glance
Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK.
- Works in 3 steps: OCI Policies must be in place (see… → Object Storage bucket with versioning… → Authentication configured (Resource…
- Wants to import models from HuggingFace
- SKILL.md covers Prerequisites, Python SDK Usage, CLI Usage and Supported Inference Containers, plus 4 more sections
- Calls huggingface-cli; needs HF_TOKEN
What it does
Aqua Model Lifecycle is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK. Triggered when user wants to import models from HuggingFace or Object Storage, browse available models, or manage model catalog entries.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/containers.md` and `references/tgi-migration.md`).
It sits in AI & LLM Engineering, covering File uploads and storage, Model hubs and datasets and LLM inference and serving. It works with Hugging Face, llama.cpp, Python and vLLM. 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 import models from HuggingFace
- Browse available models
- Manage model catalog entries
Example prompts
- “/aqua-model-lifecycle”
Requirements
- Python 3
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- OCI Policies must be in place (see aqua-troubleshooting skill for policy details).
- Object Storage bucket with versioning enabled.
- Authentication configured (Resource Principal in notebook, or API Key locally).
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
Shell commands in SKILL.md call:
huggingface-cli
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 these keys or tokens, usually read from environment variables:
HF_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Aqua Model Lifecycle loads about 1.4k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 224 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 224 words (~1,377 tokens).
“Use this skill when the user wants to register, list, browse, or manage LLM models in OCI Data Science AI Quick Actions (AQUA).”
- name
- aqua-model-lifecycle
- user-invocable
- true
- disable-model-invocation
- false
Files
SKILL.md and 2 other files (references) in skills/aqua-model-lifecycle of oracle/accelerated-data-science.
- SKILL.md
- references/containers.md
- references/tgi-migration.md
Open the folder on GitHubat commit 0418ab4
Compare with similar skills
Aqua Model Lifecycle 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 Model Lifecycle this skilloracle/accelerated-data-science | 125 | — | ~1.4k | Automated safety check: Pass | UPL-1.0 | |
| Qwen Mtp GgufR6410418/Jackrong-llm-finetuning-guide | 1.7k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Add Modelguoqingbao/xinfer | 333 | — | ~4.2k | Automated safety check: Notes | MIT | |
| Resolvealexziskind1/model-shelf | 130 | — | ~792 | Automated safety check: Pass | MIT | |
| Outlines Structured GenerationOrchestra-Research/AI-Research-SKILLs | 13k | 10 repos | ~4k | Automated safety check: Pass | MIT | |
| Test Modelguoqingbao/xinfer | 333 | — | ~2.6k | Automated safety check: Pass | MIT |
Similar skills
Add Model
guoqingbao/xinfer
Adapt and port new LLM model architectures to this xinfer project.
Resolve
alexziskind1/model-shelf
Always resolve Hugging Face models via model-shelf before any download.
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.
Test Model
guoqingbao/xinfer
Test LLM models served by xinfer for correctness, output quality, and performance.
- Official
SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
More from oracle/accelerated-data-science
All 8 skills in this repo- Official
Aqua CLI
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Complete CLI reference for the ADS AQUA command-line interface (ads aqua).
- Official
Aqua Deployment
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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.
- Official
Aqua Evaluation
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Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA).
- Official
Aqua Finetuning
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Fine-tune LLM models using LoRA on OCI AI Quick Actions (AQUA).
- Official
Aqua Metrics
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Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI.
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Aqua Troubleshooting
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Diagnose and fix OCI AI Quick Actions (AQUA) issues including deployment failures, OOM errors, authorization problems, capacity issues, container errors, and policy misconfigurations.
Related
Works with
Categories
Questions about Aqua Model Lifecycle
What does Aqua Model Lifecycle do?
Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK. Aqua Model Lifecycle is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK.
When should I use Aqua Model Lifecycle?
Aqua Model Lifecycle fits situations like: wants to import models from HuggingFace; browse available models; manage model catalog entries.
How do I install Aqua Model Lifecycle in Claude Code?
Run `npx skills add oracle/accelerated-data-science --skill aqua-model-lifecycle -a claude-code`. Or copy the skill folder (skills/aqua-model-lifecycle in oracle/accelerated-data-science) into .claude/skills/aqua-model-lifecycle in your project. Claude Code loads it when a task matches its description.
How do I install Aqua Model Lifecycle in Codex?
Run `npx skills add oracle/accelerated-data-science --skill aqua-model-lifecycle -a codex`. Or copy the skill folder (skills/aqua-model-lifecycle in oracle/accelerated-data-science) into .agents/skills/aqua-model-lifecycle in your project. Codex loads it when a task matches its description.
Can I use Aqua Model Lifecycle 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-model-lifecycle -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-model-lifecycle, .gemini/skills/aqua-model-lifecycle, .github/skills/aqua-model-lifecycle and .opencode/skills/aqua-model-lifecycle in your project.
What does Aqua Model Lifecycle need to run?
Going by SKILL.md and its folder, Aqua Model Lifecycle needs the command-line tools its instructions call (huggingface-cli) and credentials named HF_TOKEN. Our summary lists: Python 3.
Does Aqua Model Lifecycle 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 Aqua Model Lifecycle 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 Model Lifecycle use?
Aqua Model Lifecycle is published under the UPL-1.0 licence (the repository's licence).
How many tokens does Aqua Model Lifecycle use?
About 1.4k tokens (SKILL.md is roughly 5.5k 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 2k tokens, read only when the agent opens those files.
What are the alternatives to Aqua Model Lifecycle?
Skills that share tags, products or a category with Aqua Model Lifecycle: Qwen Mtp Gguf (R6410418/Jackrong-llm-finetuning-guide, 1.7k stars), Add Model (guoqingbao/xinfer, 333 stars), Resolve (alexziskind1/model-shelf, 130 stars) and Outlines Structured Generation (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aqua Model Lifecycle?
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.