Experts
Description
Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
[](https://www.npmjs.com/package/experts) [](https://github.com/metaskills/experts/actions/workflows/test.yml)
Multi AI Agent Systems
using OpenAI's Assistants API (Experts.js)

Experts.js is the easiest way to create and deploy [OpenAI's Assistants](https://platform.openai.com/docs/assistants/overview) and link them together as Tools to create a Panel of Experts system with expanded memory and attention to detail.
Made via support ❤️ by [Custom Ink | Tech](https://technology.customink.com)
Overview
The new Assistants API from OpenAI sets a new industry standard, significantly advancing beyond the widely adopted Chat Completions API. It represents a major leap in the usability of AI agents and the way engineers interact with LLMs. Paired with the cutting-edge [GPT-4o mini](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) model, Assistants can now reference attached files & images as knowledge sources within a managed context window called a [Thread](#threads). Unlike [Custom GPTs](https://openai.com/index/introducing-gpts/), Assistants support instructions up to 256,000 characters, integrate with 128 tools, and utilize the innovative [Vector Store](https://platform.openai.com/docs/assistants/tools/file-search/vector-stores) API for efficient file search on up to 10,000 files per assistant.
Experts.js aims to simplify the usage of this new API by removing the complexity of managing [Run](https://platform.openai.com/docs/assistants/how-it-works/runs-and-run-steps) objects and allowing Assistants to be linked together as Tools.
import { Assistant, Thread } from "experts";
const thread = await Thread.create();
const assistant = await Assistant.create();
const output = await assistant.ask("Say hello.", thread.id);
console.log(outpu
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