# Oracle v2

> Use this tool when you need to efficiently manage and retrieve organizational knowledge, or when faced with information overload and require intelligent search capabilities. Oracle v2 solves problems related to knowledge discovery, decision tracking, and collaboration by indexing markdown documents and providing hybrid search functionality. It takes in markdown files and outputs relevant search results, making it ideal for use cases involving complex information retrieval and knowledge management within organizations.

Canonical page: https://skillsregistry.net/skills/soul-brews-studio-oracle-v2  
JSON: https://api.skillsregistry.net/v1/skills/soul-brews-studio-oracle-v2

## Description

Oracle v2 is a knowledge management and memory layer that combines semantic vector search with full-text search to create an intelligent consultation system. The implementation indexes markdown documents (principles, learnings, retrospectives) from filesystem sources, stores them in SQLite with FTS5 and ChromaDB for hybrid search capabilities, and provides both MCP tools and a React dashboard for querying organizational knowledge. It features automatic project context detection via ghq paths, decision tracking with GitHub issue integration, and a forum system for collaborative knowledge building.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/soul-brews-studio-oracle-v2)
- **Repository:** <https://github.com/soul-brews-studio/arra-oracle-v3>

## 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": "soul-brews-studio-oracle-v2"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/soul-brews-studio-oracle-v2` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/soul-brews-studio-oracle-v2/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