SwanLab Experiment Tracking
Orchestra-Research/AI-Research-SKILLs
Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards.
OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA.
$ npx skills add oracle/accelerated-data-science --skill oci-data-science -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oracle/accelerated-data-science oci-data-science --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/oci-data-science .claude/skills/oci-data-science && 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 "oci-data-science" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/oci-data-science into .claude/skills/oci-data-science/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oci-data-science", 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/oci-data-scienceType 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 oci-data-science -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oracle/accelerated-data-science oci-data-science --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/oci-data-science .agents/skills/oci-data-science && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "oci-data-science" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/oci-data-science into .agents/skills/oci-data-science/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oci-data-science", 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 oci-data-science -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oracle/accelerated-data-science oci-data-science --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/oci-data-science .cursor/skills/oci-data-science && 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 "oci-data-science" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/oci-data-science into .cursor/skills/oci-data-science/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oci-data-science", 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/oci-data-science--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 oci-data-science -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oracle/accelerated-data-science oci-data-science --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/oci-data-science .gemini/skills/oci-data-science && 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 "oci-data-science" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/oci-data-science into .gemini/skills/oci-data-science/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oci-data-science", 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 oci-data-scienceInstalls 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 oci-data-science -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/oci-data-science .github/skills/oci-data-science && 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 "oci-data-science" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/oci-data-science into .github/skills/oci-data-science/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oci-data-science", 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 oci-data-science -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 oci-data-science --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/oci-data-science .opencode/skills/oci-data-science && 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 "oci-data-science" agent skill from https://github.com/oracle/accelerated-data-science/tree/main/skills/oci-data-science into .opencode/skills/oci-data-science/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "oci-data-science", 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.
oci-data-scienceOCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA.
Oci Data Science is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA. Triggered when user asks about OCI Data Science Jobs, ML Pipelines, model artifacts, conda environments, or general ADS SDK usage.
Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering MLOps, Authentication and Machine learning. It works with 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.
Read from SKILL.md and the folder at commit 0418ab4. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
github.commodeldeployment.us-ashburn-1.oci.customer-oci.comAlso links to:
accelerated-data-science.readthedocs.iodocs.oracle.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Oci Data Science loads about 2.1k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 161 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.
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.
Its licence (UPL-1.0) doesn't allow us to republish the file, so here is its outline and opening line. It has 161 words (~2,139 tokens).
“Use this skill for general OCI Data Science service operations beyond AI Quick Actions (AQUA), including Jobs, Pipelines, Model Catalog, and authentication.”
Just SKILL.md in skills/oci-data-science of oracle/accelerated-data-science.
Open the folder on GitHubat commit 0418ab4
Oci Data Science 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 |
|---|---|---|---|---|---|---|
| Oci Data Science this skilloracle/accelerated-data-science | 125 | — | ~2.1k | Automated safety check: Pass | UPL-1.0 | |
| SwanLab Experiment TrackingOrchestra-Research/AI-Research-SKILLs | 13k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Neo4j Gds Skillneo4j-contrib/neo4j-skills | 114 | — | ~5k | Automated safety check: Notes | MIT | |
| Build ML Pipelineprobabl-ai/skills | 135 | — | ~4k | Automated safety check: Pass | BSD-3-Clause | |
| Megatron-LM on SLURMNVIDIA/Megatron-LM | 18k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| MLflow Experiment TrackingOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~3.9k | Automated safety check: Pass | MIT |
Orchestra-Research/AI-Research-SKILLs
Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards.
neo4j-contrib/neo4j-skills
Neo4j Graph Data Science (GDS) embedded plugin via Python client or Cypher — covers graphdatascience client 2.x, GraphDataScience, gds.graph.project.native, gds.graph.project.cypher, snakecase…
probabl-ai/skills
Declare the pipeline from data source to predictor as a skrub DataOps graph.
NVIDIA/Megatron-LM
Shows how to launch distributed Megatron-LM training on a SLURM cluster: sbatch skeleton, torch.distributed.run setup, CUDA_DEVICE_MAX_CONNECTIONS rules and failure diagnosis.
Orchestra-Research/AI-Research-SKILLs
Tracks ML experiments, versions models in the MLflow registry and covers deployment and reproducibility, with autologging for common frameworks.
borghei/Claude-Skills
A skill your agent uses when the user asks to "design an experiment", "build a predictive model", "run A/B test analysis", "perform causal inference", "engineer features", "evaluate model…
oracle/accelerated-data-science
Complete CLI reference for the ADS AQUA command-line interface (ads aqua).
oracle/accelerated-data-science
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/accelerated-data-science
Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK.
oracle/accelerated-data-science
Evaluate LLM model quality using BERTScore, ROUGE, Perplexity, and Text Readability metrics on OCI AI Quick Actions (AQUA).
oracle/accelerated-data-science
Fine-tune LLM models using LoRA on OCI AI Quick Actions (AQUA).
oracle/accelerated-data-science
Set up Prometheus and Grafana monitoring for AQUA vLLM model deployments on OCI.
Works with
OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA. Oci Data Science is an agent skill from oracle/accelerated-data-science, published by the product's own GitHub organization. OCI Data Science service patterns including Jobs, Pipelines, Model Catalog, authentication, and the ADS SDK beyond AQUA.
Oci Data Science fits situations like: asks about OCI Data Science Jobs; model artifacts; conda environments; general ADS SDK usage.
Run `npx skills add oracle/accelerated-data-science --skill oci-data-science -a claude-code`. Or copy the skill folder (skills/oci-data-science in oracle/accelerated-data-science) into .claude/skills/oci-data-science in your project. Claude Code loads it when a task matches its description.
Run `npx skills add oracle/accelerated-data-science --skill oci-data-science -a codex`. Or copy the skill folder (skills/oci-data-science in oracle/accelerated-data-science) into .agents/skills/oci-data-science in your project. Codex loads it when a task matches its description.
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 oci-data-science -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/oci-data-science, .gemini/skills/oci-data-science, .github/skills/oci-data-science and .opencode/skills/oci-data-science in your project.
SKILL.md names no scripts, command-line tools or credentials: Oci Data Science is instructions for the agent only. Our summary lists: Python 3.
SKILL.md names 4 domains. In commands or code: github.com and modeldeployment.us-ashburn-1.oci.customer-oci.com; the agent is likely to contact these when it follows the instructions. As links in the text: accelerated-data-science.readthedocs.io and docs.oracle.com. This is read from the text; nothing was executed.
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.
Oci Data Science is published under the UPL-1.0 licence (the repository's licence).
About 2.1k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Oci Data Science: SwanLab Experiment Tracking (Orchestra-Research/AI-Research-SKILLs, 13k stars), Neo4j Gds Skill (neo4j-contrib/neo4j-skills, 114 stars), Build ML Pipeline (probabl-ai/skills, 135 stars) and Megatron-LM on SLURM (NVIDIA/Megatron-LM, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.