Skip to content
Agentmart
Submit a tool

xsai-embed

Create text embeddings with xsAI for one string or a batch.

Skill by moeru-ai

IndexedMIT★ 664
Write a review

Chalk Labs

Need help deploying xsai-embed?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/moeru-ai-xsai-embed

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Create text embeddings with xsAI for one string or a batch.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/xsai-embed

What's inside

Skill name
xsai-embed
Description
Create text embeddings with xsAI for one string or a batch.
License
MIT
Instructions
11 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • openai.yaml · agents/

SKILL.md (first lines)

# xsAI embeddings

Read https://xsai.js.org/embed.md. Make sure that the API matches the installed xsAI version.

- Use `@xsai/embed` or the existing `xsai` package with the project's endpoint and model configuration.
- Create a model with `embeddings()`. Then call `embed(model, { input })` or `embedMany(model, { input })`.
- `embedMany` sends one request for the whole input. If the service limits batch sizes, split the input into smaller batches.

For code changes, make sure that the installed types accept the code. Test the affected behavior with existing tests or mock responses.

From moeru-ai/xsai, MIT.

More from moeru-ai/xsai

Compare and alternatives

    Featured in

    Signals

    Stars
    664
    Forks
    62
    Open issues
    4
    Last commit (this folder)
    Oct 10, 2026 (20 days ago)
    Last release
    Sep 30, 2026 (1 month ago)

    From GitHub (fetched Oct 24, 2026).

    Details

    License
    MIT
    First seen
    Oct 24, 2026
    Last checked
    Oct 24, 2026

    More from moeru-ai

    Done for you

    Rather not set it up yourself?

    Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

    See how we build AI agents →Read the case studies

    Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

    launches shipped
    50+
    launches shipped
    media placements
    500+
    media placements
    founders on every account
    2
    founders on every account

    Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

    Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

    Get xsai-embed running in your business

    Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

    Goes to the Chalk Labs founders, not the newsletter. Privacy

    Need help deploying xsai-embed?

    CallGet help
    Cite this page

    xsai-embed skill. Agent Mart. https://agentmart.dev/skills/moeru-ai-xsai-embed (last updated 2026-10-24)