Agent skill

Xsai

A skill your agent uses when the user is building with xsai or any @xsai/ package, or is evaluating xsAI for a small OpenAI-compatible workflow with text generation, streaming, tool calling…

MITAuto-check passedAI & LLM Engineering

Install Xsai

skills CLI

$ npx skills add moeru-ai/airi --skill xsai -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install moeru-ai/airi xsai --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/moeru-ai/airi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/xsai .claude/skills/xsai && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "xsai" agent skill from https://github.com/moeru-ai/airi/tree/main/.agents/skills/xsai into .claude/skills/xsai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xsai", 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

$skill-installer install https://github.com/moeru-ai/airi/tree/main/.agents/skills/xsai

Type 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.

skills CLI

$ npx skills add moeru-ai/airi --skill xsai -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install moeru-ai/airi xsai --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moeru-ai/airi.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/xsai .agents/skills/xsai && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "xsai" agent skill from https://github.com/moeru-ai/airi/tree/main/.agents/skills/xsai into .agents/skills/xsai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xsai", 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.

skills CLI

$ npx skills add moeru-ai/airi --skill xsai -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install moeru-ai/airi xsai --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moeru-ai/airi.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/xsai .cursor/skills/xsai && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "xsai" agent skill from https://github.com/moeru-ai/airi/tree/main/.agents/skills/xsai into .cursor/skills/xsai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xsai", 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

$ gemini skills install https://github.com/moeru-ai/airi.git --path .agents/skills/xsai

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add moeru-ai/airi --skill xsai -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install moeru-ai/airi xsai --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moeru-ai/airi.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/xsai .gemini/skills/xsai && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "xsai" agent skill from https://github.com/moeru-ai/airi/tree/main/.agents/skills/xsai into .gemini/skills/xsai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xsai", 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.

GitHub CLI

$ gh skill install moeru-ai/airi xsai

Installs 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).

skills CLI

$ npx skills add moeru-ai/airi --skill xsai -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/moeru-ai/airi.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/xsai .github/skills/xsai && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "xsai" agent skill from https://github.com/moeru-ai/airi/tree/main/.agents/skills/xsai into .github/skills/xsai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xsai", 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.

skills CLI

$ npx skills add moeru-ai/airi --skill xsai -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install moeru-ai/airi xsai --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/moeru-ai/airi.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/xsai .opencode/skills/xsai && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "xsai" agent skill from https://github.com/moeru-ai/airi/tree/main/.agents/skills/xsai into .opencode/skills/xsai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "xsai", 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: xsai
GitHub stars: 50k
Used in: 1 other repo
Token cost: ~1.3k tokens
SKILL.md length: 640 words
Files: 8 (incl. references)
Skills in repo: 24
Repo updated: Oct 11, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when the user is building with xsai or any @xsai/ package, or is evaluating xsAI for a small OpenAI-compatible workflow with text generation, streaming, tool calling…

The user is building with xsai
SKILL.md covers Use xsAI when, Do not use xsAI when, Default workflow and References, plus 4 more sections
Reaches xsai.js.org
Any @xsai/ package

What it does

Xsai is an agent skill from moeru-ai/airi. Use this skill when the user is building with xsai or any @xsai/ package, or is evaluating xsAI for a small OpenAI-compatible workflow with text generation, streaming, tool calling, structured output, embeddings, image generation, speech synthesis, or transcription.

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `agents/openai.yaml`, `references/extensions.md` and `references/media-and-embeddings.md`).

It sits in AI & LLM Engineering, covering Structured output and tool calling, Embeddings and Text to speech and voice. It works with OpenAI. The repository describes itself as: 💖🧸 Self hosted, you-owned Grok Companion, a container of souls of waifu, cyber livings to bring them into our worlds, wishing to achieve Neuro-sama's altitude. Capable of… The licence is MIT.

When your agent uses it

The user is building with xsai
Any @xsai/ package
Is evaluating xsAI for a small OpenAI-compatible workflow with text generation
Structured output

Example prompts

“/xsai”

Requirements

Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit ec682e2. 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
Hosts in commands or code, which the agent is likely to contact:
- xsai.js.org
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

Xsai loads about 1.3k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 640 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~69
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~4.4k

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

The full file from moeru-ai/airi at commit ec682e2, republished under its MIT licence (© moeru-ai). 640 words, ~1,273 tokens.

Download SKILL.mdSave it as .claude/skills/xsai/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.

name: xsai
description: Use this skill when the user is building with `xsai` or any `@xsai/*` package, or is evaluating xsAI for a small OpenAI-compatible workflow with text generation, streaming, tool calling, structured output, embeddings, image generation, speech synthesis, or transcription.

xsAI

Use this skill for xsai code, package selection, API selection, canonical examples, and positioning.

Use xsAI when

The user is already using xsai or any @xsai/* package.
The user is evaluating xsAI for an OpenAI-compatible integration.
The target API is OpenAI-compatible.
The user wants a small runtime or package footprint.
The user needs text generation, streaming, structured output, or tool calling without a broad framework.
The user is comparing xsai with larger SDKs such as ai or pi and wants the tradeoffs framed clearly.

Do not use xsAI when

The user needs a universal provider abstraction beyond OpenAI-compatible APIs.
The user wants a batteries-included AI application framework.
The task depends on provider-specific APIs that are not exposed through an OpenAI-compatible surface.

Default workflow

First inspect the existing dependency and import style in the repo. Preserve xsai versus granular @xsai/* imports unless the user asks to change them.
If the user has not chosen xsAI yet, confirm the task fits an OpenAI-compatible surface before recommending it.
Prefer the smallest package that solves the task. Use the umbrella xsai package only when the user needs several features at once or explicitly wants one dependency.
When writing or editing code, read references/recipes.md first and start from the closest canonical example.
Keep examples minimal and runnable. Include baseURL and model explicitly. For hosted providers, show apiKey wired from process.env in Node.js and from localStorage in the browser; omit it only when the target endpoint truly does not need one. Do not recommend hardcoding secrets.
Preserve the project's existing schema library and provider wiring unless there is a clear reason to change them.
Keep recommendations aligned with xsAI's scope: OpenAI-compatible, Fetch-based, runtime-portable, and intentionally narrow.
If the user is optimizing for bundle or install size, explicitly prefer granular packages such as @xsai/generate-text over xsai.
If the user asks for broader provider abstraction, say xsAI intentionally does not optimize for that.

References

Read references/recipes.md when the user wants code, edits xsAI code, or needs a canonical minimal example.
Read references/package-selection.md when the user needs help choosing between xsai and granular packages.
Read references/text-stream-tools.md for generateText, streamText, tool calling, and common chat options.
Read references/structured-output.md for generateObject, streamObject, tool(), rawTool(), or schema guidance.
Read references/media-and-embeddings.md for embeddings, image generation, speech, or transcription.
Read references/extensions.md only when the user explicitly needs xsAI extensions such as predefined providers, the OpenAI Responses API, or OTEL telemetry.

Show full SKILL.md (243 more words)Show less

API selection rules

Use generateText for unary text generation.
Use streamText for incremental text, reasoning deltas, tool events, or lightweight agent loops.
Use generateObject for validated structured output.
Use streamObject when the user needs incremental object parsing.
Use tool() when the user has a Standard Schema library such as Zod or Valibot.
Use rawTool() when the user already has raw JSON Schema.
Use a plain Tool object only when the repo already uses that shape or when avoiding tool()'s async setup matters.

Key constraints

baseURL and model are usually required in practice for xsAI calls.
apiKey is provider-dependent. Most hosted providers need it; local or proxy endpoints may not. In Node.js, prefer process.env. In browsers, prefer reading from localStorage. Do not recommend hardcoding API keys.
xsAI is OpenAI-compatible-first. Do not imply support for non-compatible provider APIs.
streamText() returns immediately; callers consume textStream, fullStream, and result promises asynchronously.
streamObject() is async because schema conversion happens before streaming starts.
stopWhen controls repeated tool-use loops with explicit stop predicates such as stepCountAtLeast() and hasToolCall().
generateObject(), streamObject(), and tool() rely on xsschema; some schema vendors need extra JSON Schema converter packages.
xsAI is designed to stay small. Avoid recommending the umbrella package when a smaller package is enough.

Positioning

Describe xsAI as an extra-small OpenAI-compatible runtime, not as a universal AI SDK.
When comparing with ai or pi, focus on size, runtime portability, OpenAI-compatible scope, and simpler primitives. Do not oversell feature breadth.

Docs

Public docs: https://xsai.js.org/docs

Files

SKILL.md and 7 other files (references) in .agents/skills/xsai of moeru-ai/airi.

SKILL.md
agents/openai.yaml
references/extensions.md
references/media-and-embeddings.md
references/package-selection.md
references/recipes.md
references/structured-output.md
references/text-stream-tools.md

Open the folder on GitHubat commit ec682e2

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in moeru-ai/airi, which our catalogue first saw on October 7, 2026.

alint-dev/alint.agents/skills/xsai

Compare with similar skills

Xsai 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.

Xsai compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Xsai this skillmoeru-ai/airi	50k	1 repos	~1.3k	Automated safety check: Pass	MIT	today
Local AI App Integrationamd/skills	408	—	~6k	Automated safety check: Pass	MIT	yesterday
Fastllm Gatewayazrtydxb/Fastllm-proxy	108	—	~926	Automated safety check: Pass	Apache-2.0	today
AI SDK Developmenttrypostit/trypost	692	1 repos	~3.5k	Automated safety check: Pass	MIT	today
Local AI Useamd/skills	408	—	~5k	Automated safety check: Notes	MIT	yesterday
Azure AI Openai Dotnetmicrosoft/skills	3.1k	5 repos	~3.4k	Automated safety check: Pass	MIT	yesterday

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Questions about Xsai

What does Xsai do?

A skill your agent uses when the user is building with xsai or any @xsai/ package, or is evaluating xsAI for a small OpenAI-compatible workflow with text generation, streaming, tool calling…. Xsai is an agent skill from moeru-ai/airi. Use this skill when the user is building with xsai or any @xsai/ package, or is evaluating xsAI for a small OpenAI-compatible workflow with text generation, streaming, tool calling, structured output, embeddings, image generation, speech synthesis, or transcription.

When should I use Xsai?

Xsai fits situations like: the user is building with xsai; any @xsai/ package; is evaluating xsAI for a small OpenAI-compatible workflow with text generation; structured output.

How do I install Xsai in Claude Code?

Run `npx skills add moeru-ai/airi --skill xsai -a claude-code`. Or copy the skill folder (.agents/skills/xsai in moeru-ai/airi) into .claude/skills/xsai in your project. Claude Code loads it when a task matches its description.

How do I install Xsai in Codex?

Run `npx skills add moeru-ai/airi --skill xsai -a codex`. Or copy the skill folder (.agents/skills/xsai in moeru-ai/airi) into .agents/skills/xsai in your project. Codex loads it when a task matches its description.

Can I use Xsai 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 moeru-ai/airi --skill xsai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xsai, .gemini/skills/xsai, .github/skills/xsai and .opencode/skills/xsai in your project.

What does Xsai need to run?

SKILL.md names no scripts, command-line tools or credentials: Xsai is instructions for the agent only. Our summary lists: Node.js.

Does Xsai access the network?

SKILL.md names 1 domain. In commands or code: xsai.js.org; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Xsai 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 Xsai use?

Xsai is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Xsai use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 3.1k tokens, read only when the agent opens those files.

What are the alternatives to Xsai?

Skills that share tags, products or a category with Xsai: Local AI App Integration (amd/skills, 408 stars), Fastllm Gateway (azrtydxb/Fastllm-proxy, 108 stars), AI SDK Development (trypostit/trypost, 692 stars) and Local AI Use (amd/skills, 408 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Xsai?

moeru-ai (a GitHub organization) maintains it in moeru-ai/airi, which has 50,267 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 11, 2026.

Source: moeru-ai/airi on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Xsai

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

xsAI

Use xsAI when

Do not use xsAI when

Default workflow

References

API selection rules

Key constraints

Positioning

Docs

Files

Used in 1 other repository

Compare with similar skills

Similar skills

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Related

Questions about Xsai