# io.github.chernistry/bernstein

> Use this tool when you need to manage and orchestrate multiple agents in a declarative manner, simplifying complex workflows and automating tasks for engineering teams. It solves problems of manual agent management, reducing errors and increasing efficiency. With inputs of workflow definitions and agent configurations, it outputs orchestrated agent interactions, ideal for use in DevOps, CI/CD, and automated testing contexts.

Canonical page: https://skillsregistry.net/skills/io-github-chernistry-bernstein  
JSON: https://api.skillsregistry.net/v1/skills/io-github-chernistry-bernstein

## Description

Declarative agent orchestration for engineering teams

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.5.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.chernistry%2Fbernstein)
- **Repository:** <https://github.com/chernistry/bernstein>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-github-chernistry-bernstein"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-chernistry-bernstein` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-chernistry-bernstein/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt