Repository
oracle/accelerated-data-science agent skills
- skills
- 8
- official
- 8
- GitHub stars
- 125
GitHub description: “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.”
- Stars
- 125 (68 forks)
- Licence
- UPL-1.0
- Last push
- Sep 2026
- Created
- Feb 2022
- cloud
- oracle
- python3
- oci
- machine-learning
Install all skills
npx skills add oracle/accelerated-data-scienceAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in oracle/accelerated-data-science, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Complete CLI reference for the ADS AQUA command-line interface (ads aqua). | oracle/ | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 2 | 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. | oracle/ | 125 | — | ~2.4k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 3 | Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK. | oracle/ | 125 | — | ~1.4k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 4 | Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA). | oracle/ | 125 | — | ~1.6k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 5 | Fine-tune LLM models using LoRA on OCI AI Quick Actions (AQUA). | oracle/ | 125 | — | ~1.7k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 6 | Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI. | oracle/ | 125 | — | ~1.5k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 7 | Diagnose and fix OCI AI Quick Actions (AQUA) issues including deployment failures, OOM errors, authorization problems, capacity issues, container errors, and policy misconfigurations. | oracle/ | 125 | — | ~1.8k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
| 8 | OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA. | oracle/ | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | 1 mo ago |
Questions, answered from the data.
What is the best skill in oracle/accelerated-data-science?
Aqua CLI (official) from oracle/accelerated-data-science ranks first of the 8 skills in oracle/accelerated-data-science listed here, with the highest score: its repository has 125 GitHub stars, its SKILL.md loads about 2.1k tokens and it passes the automated safety check with no findings. Next come Aqua Deployment and Aqua Model Lifecycle.
Are the skills in oracle/accelerated-data-science official?
8 of the 8 skills in oracle/accelerated-data-science are official, published by the vendor's own GitHub organization: Aqua CLI, Aqua Deployment, Aqua Model Lifecycle, Aqua Evaluation, Aqua Finetuning and 3 more.
How do I install all skills from oracle/accelerated-data-science?
Run npx skills add oracle/accelerated-data-science in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.