# CodeCompass

> Use this tool when you need to navigate and understand complex legacy codebases, as it provides AI coding assistants with contextual information to improve development efficiency. CodeCompass solves problems related to code comprehension, refactoring, and maintenance by leveraging Qdrant vector store and Agentic RAG with Ollama or DeepSeek. It takes in legacy code as input and outputs actionable insights and recommendations for developers to work with.

Canonical page: https://skillsregistry.net/skills/alvinveroy-codecompass  
JSON: https://api.skillsregistry.net/v1/skills/alvinveroy-codecompass

## Description

Helps developers tackle legacy codebases by giving AI coding assistants context through Qdrant vector store and Agentic RAG with Ollama or DeepSeek.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yxa0p1rdml)
- **Repository:** <https://github.com/alvinveroy/CodeCompass>

## 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": "alvinveroy-codecompass"
    }
  }
}
```

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