Aliyun Opensearch Search
cinience/alicloud-skills
A skill your agent uses when working with OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches.
Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model…
Install Enterprise AI
$ npx skills add oracle/skills --skill enterprise-ai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install oracle/skills enterprise-ai --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/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/oci/enterprise-ai .claude/skills/enterprise-ai && 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 "enterprise-ai" agent skill from https://github.com/oracle/skills/tree/main/oci/enterprise-ai into .claude/skills/enterprise-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enterprise-ai", 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/skills/tree/main/oci/enterprise-aiType 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/skills --skill enterprise-ai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install oracle/skills enterprise-ai --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/oci/enterprise-ai .agents/skills/enterprise-ai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "enterprise-ai" agent skill from https://github.com/oracle/skills/tree/main/oci/enterprise-ai into .agents/skills/enterprise-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enterprise-ai", 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/skills --skill enterprise-ai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install oracle/skills enterprise-ai --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/oci/enterprise-ai .cursor/skills/enterprise-ai && 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 "enterprise-ai" agent skill from https://github.com/oracle/skills/tree/main/oci/enterprise-ai into .cursor/skills/enterprise-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enterprise-ai", 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/skills.git --path oci/enterprise-ai--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/skills --skill enterprise-ai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install oracle/skills enterprise-ai --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/oci/enterprise-ai .gemini/skills/enterprise-ai && 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 "enterprise-ai" agent skill from https://github.com/oracle/skills/tree/main/oci/enterprise-ai into .gemini/skills/enterprise-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enterprise-ai", 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/skills enterprise-aiInstalls 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/skills --skill enterprise-ai -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/oracle/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/oci/enterprise-ai .github/skills/enterprise-ai && 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 "enterprise-ai" agent skill from https://github.com/oracle/skills/tree/main/oci/enterprise-ai into .github/skills/enterprise-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enterprise-ai", 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/skills --skill enterprise-ai -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/skills enterprise-ai --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/oracle/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/oci/enterprise-ai .opencode/skills/enterprise-ai && 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 "enterprise-ai" agent skill from https://github.com/oracle/skills/tree/main/oci/enterprise-ai into .opencode/skills/enterprise-ai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enterprise-ai", 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
enterprise-ai- GitHub stars
- 876
- Token cost
- ~1.4k tokens
- SKILL.md length
- 371 words
- Files
- 11
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- UPL-1.0
At a glance
Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model…
- Works in 3 steps: Start with the user journey table below. → Read only the smallest topic file that… → Route database-owned implementation…
- The user asks for OCI Generative AI
- SKILL.md covers How to Use This Domain, Directory Structure, User Journey Routing and Key Starting Points, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Enterprise AI is an agent skill from oracle/skills, published by the product's own GitHub organization. Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model endpoints, private endpoints, vector stores, File Search, Code Interpreter, MCP tools, SQL Search, hosted agentic applications, and Oracle platform integrations. Use when the user asks for OCI Generative AI, Enterprise AI Models, Enterprise AI Agents, governed GenAI applications, agentic workflows, RAG on Oracle Cloud…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files (for example `agent-workflows/agent-tools.md`, `agent-workflows/hosted-applications.md` and `agent-workflows/responses-api-agents.md`).
It sits in AI & LLM Engineering, covering Vector databases, Fine-tuning and Retrieval-augmented generation. It works with SQL. The repository describes itself as: Oracle Skills is a curated, open-source collection of practical, installable skills for working with Oracle technologies. It provides developers, administrators, and AI agents…
When your agent uses it
- The user asks for OCI Generative AI
- Enterprise AI Models
- Enterprise AI Agents
- Governed GenAI applications
Example prompts
- “/enterprise-ai”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Start with the user journey table below.
- Read only the smallest topic file that matches the task.
- Route database-owned implementation details to db/features/ instead of duplicating Select AI, vector search, or DBMS_VECTOR guidance.
What it can do on your machine
Read from SKILL.md and the folder at commit 6c57a52. 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.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.oracle.comoracle.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
Enterprise AI loads about 1.4k tokens when it runs. Until then it costs about 168 tokens; SKILL.md has 371 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 371 words (~1,403 tokens).
“Use this OCI subdomain as the front door for Oracle Enterprise AI work. Start here when the user goal is about the AI outcome rather than a specific Oracle service name.”
- name
- enterprise-ai
Files
SKILL.md and 10 other files in oci/enterprise-ai of oracle/skills.
- SKILL.md
- agent-workflows/agent-tools.md
- agent-workflows/hosted-applications.md
- agent-workflows/responses-api-agents.md
- agents/openai.yaml
- cost/cost-estimation.md
- data/rag-and-search.md
- governance/private-endpoints-and-governance.md
- integrations/oracle-platform-integrations.md
- models/custom-and-imported-models.md
- models/enterprise-ai-models.md
Open the folder on GitHubat commit 6c57a52
Compare with similar skills
Enterprise AI 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 |
|---|---|---|---|---|---|---|
| Enterprise AI this skilloracle/skills | 876 | — | ~1.4k | Automated safety check: Pass | UPL-1.0 | |
| Aliyun Opensearch Searchcinience/alicloud-skills | 397 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Cortexdbliliang-cn/cortexdb | 274 | — | ~18k | Automated safety check: Warn | MIT | |
| LLM Opsdavila7/claude-code-templates | 32k | 3 repos | ~2k | Automated safety check: Pass | MIT | |
| Mindsdb MCP SkillLeoYeAI/openclaw-master-skills | 2.2k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Tanyuan Searchinfometa/workbuddyskills | 346 | — | ~1.2k | Automated safety check: Pass | None |
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Related
Works with
Categories
Questions about Enterprise AI
What does Enterprise AI do?
Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model…. Enterprise AI is an agent skill from oracle/skills, published by the product's own GitHub organization. Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model endpoints, private endpoints, vector stores, File Search, Code Interpreter, MCP tools, SQL Search, hosted agentic applications, and Oracle platform integrations.
When should I use Enterprise AI?
Enterprise AI fits situations like: the user asks for OCI Generative AI; enterprise AI Models; enterprise AI Agents; governed GenAI applications.
How do I install Enterprise AI in Claude Code?
Run `npx skills add oracle/skills --skill enterprise-ai -a claude-code`. Or copy the skill folder (oci/enterprise-ai in oracle/skills) into .claude/skills/enterprise-ai in your project. Claude Code loads it when a task matches its description.
How do I install Enterprise AI in Codex?
Run `npx skills add oracle/skills --skill enterprise-ai -a codex`. Or copy the skill folder (oci/enterprise-ai in oracle/skills) into .agents/skills/enterprise-ai in your project. Codex loads it when a task matches its description.
Can I use Enterprise AI 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/skills --skill enterprise-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enterprise-ai, .gemini/skills/enterprise-ai, .github/skills/enterprise-ai and .opencode/skills/enterprise-ai in your project.
What does Enterprise AI need to run?
SKILL.md names no scripts, command-line tools or credentials: Enterprise AI is instructions for the agent only.
Does Enterprise AI access the network?
SKILL.md names 2 domains. As links in the text: docs.oracle.com and oracle.com. This is read from the text; nothing was executed.
Is Enterprise AI 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 Enterprise AI use?
Enterprise AI is published under the UPL-1.0 licence (the repository's licence).
How many tokens does Enterprise AI use?
About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Enterprise AI?
Skills that share tags, products or a category with Enterprise AI: Aliyun Opensearch Search (cinience/alicloud-skills, 397 stars), Cortexdb (liliang-cn/cortexdb, 274 stars), LLM Ops (davila7/claude-code-templates, 32k stars) and Mindsdb MCP Skill (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Enterprise AI?
oracle (a GitHub organization, an official publisher) maintains it in oracle/skills, which has 876 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 6, 2026.
Source: oracle/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.