# GAIIA Expert Proxy

> Use this tool when you need to analyze and transform code with high fidelity, or perform architectural analysis and audits. GAIIA Expert Proxy solves problems related to code quality and complexity by leveraging remote Large Language Models (LLMs) and supporting various API protocols. It takes API schemas and code as input and outputs refactored code and analysis results, ideal for use cases requiring in-depth code examination and optimization.

Canonical page: https://skillsregistry.net/skills/dapooleygmailcom-gaiia  
JSON: https://api.skillsregistry.net/v1/skills/dapooleygmailcom-gaiia

## Description

GAIIA Expert Proxy exposes specialized AI expert agents for code analysis and transformation through the Model Context Protocol. It enables high-fidelity code audits, refactoring, and architectural analysis by leveraging remote LLMs. The server supports interrogating APIs across REST, GraphQL, gRPC, SOAP, OData, and EDI protocols to auto-discover schemas. Requires a GAIIA account for authentication.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dapooleygmailcom-gaiia)
- **Repository:** <https://github.com/dapooleygmailcom/gaiia-mcp-server>

## 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": "dapooleygmailcom-gaiia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dapooleygmailcom-gaiia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dapooleygmailcom-gaiia/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
