microbiome-data-expert

scan-iq/FoxRev

Master microbiome data operations across Supabase, Neo4j, Upstash Vector, and Redis. Generates comprehensive BrilliantBiome reports with BrilliantScore calculations, species analysis, AMR assessments, and population insights. Use when querying microbiome data, generating reports, analyzing taxonomic relationships, or performing similarity searches across the two-lane architecture (clinical + research).

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/scan-iq/FoxRev/tree/main/from_colby/microbiome-data-expert

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/scan-iq/FoxRev/tree/main/from_colby/microbiome-data-expert ~/.claude/skills/FoxRev

# Project-specific

git clone https://github.com/scan-iq/FoxRev/tree/main/from_colby/microbiome-data-expert .claude/skills/FoxRev

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/scan-iq/FoxRev/tree/main/from_colby/microbiome-data-expert"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/scan-iq/FoxRev/tree/main/from_colby/microbiome-data-expert

Option 2: Clone to extensions directory

git clone https://github.com/scan-iq/FoxRev/tree/main/from_colby/microbiome-data-expert ~/.gemini/extensions/FoxRev