processor

grc-iit/Phagocyte

An automated workflow that conducts AI-powered research, extracts and acquires academic papers, converts them into structured markdown, and creates a searchable vector database for RAG applications.

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Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/grc-iit/Phagocyte/tree/main/src/processor/.claude/skills/processor

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/grc-iit/Phagocyte/tree/main/src/processor/.claude/skills/processor ~/.claude/skills/Phagocyte

# Project-specific

git clone https://github.com/grc-iit/Phagocyte/tree/main/src/processor/.claude/skills/processor .claude/skills/Phagocyte

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/grc-iit/Phagocyte/tree/main/src/processor/.claude/skills/processor"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/grc-iit/Phagocyte/tree/main/src/processor/.claude/skills/processor

Option 2: Clone to extensions directory

git clone https://github.com/grc-iit/Phagocyte/tree/main/src/processor/.claude/skills/processor ~/.gemini/extensions/Phagocyte

Topics

academic-paper papers rag