compound-profile

huifer/drug-discovery-skills

Drug Discovery Intelligence plugin for Claude Code. AI-powered target validation, competitive intelligence, literature analysis & clinical trials insights. Integrates Open Targets, ChEMBL, PubMed & 5+ databases.

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Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/huifer/drug-discovery-skills/tree/main/.claude/skills/drug-discovery/compound-profile

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/huifer/drug-discovery-skills/tree/main/.claude/skills/drug-discovery/compound-profile ~/.claude/skills/drug-discovery-skills

# Project-specific

git clone https://github.com/huifer/drug-discovery-skills/tree/main/.claude/skills/drug-discovery/compound-profile .claude/skills/drug-discovery-skills

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/huifer/drug-discovery-skills/tree/main/.claude/skills/drug-discovery/compound-profile"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/huifer/drug-discovery-skills/tree/main/.claude/skills/drug-discovery/compound-profile

Option 2: Clone to extensions directory

git clone https://github.com/huifer/drug-discovery-skills/tree/main/.claude/skills/drug-discovery/compound-profile ~/.gemini/extensions/drug-discovery-skills

Topics

claude claudecode drug-discovery

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