# Opus Advisor

> Use this tool when you need to delegate complex strategic decisions to an AI advisor, such as Claude Opus, during tasks that require external expertise. Opus Advisor solves problems by providing a server-based interface to consult AI advisors, reading prior consultation history, and returning advice to the working session. It accepts code files and queries as inputs and outputs advice and consultation logs, making it ideal for use cases that require informed decision-making and knowledge sharing.

Canonical page: https://skillsregistry.net/skills/divinci-ai-opus-advisor  
JSON: https://api.skillsregistry.net/v1/skills/divinci-ai-opus-advisor

## Description

Opus Advisor is an MCP server that enables Claude Code running on Sonnet or Haiku to delegate complex strategic decisions to Claude Opus during tasks. It reads prior consultation history, loads requested code files from disk, pipes queries to Opus via the local Claude CLI, and returns advice back to the working session. The server exposes four tools for consulting Opus, reading consultation logs, viewing metadata, and clearing history.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/divinci-ai-opus-advisor)
- **Repository:** <https://github.com/divinci-ai/opus-advisor-mcp>

## 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": "divinci-ai-opus-advisor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/divinci-ai-opus-advisor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/divinci-ai-opus-advisor/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