Cofold protein-ligand, protein-protein, and nucleic-acid complexes with Boltz-2, and predict binding affinity with its trained affinity head. Use this skill to build Boltz input YAML, run structure prediction with MSAs, pocket constraints, templates, and modified residues, screen compound libraries by cofolding, and interpret confidence scores (pLDDT, pTM, ipTM, PDE) and affinity output (binder…
Install
npx skills add K-Dense-AI/drug-discovery-agent-skills --skill boltznpx skills add K-Dense-AI/drug-discovery-agent-skills --skill boltz -a claude-code -gnpx skills add K-Dense-AI/drug-discovery-agent-skills --skill boltz -a codex -ggemini skills install https://github.com/K-Dense-AI/drug-discovery-agent-skills.git --path skills/boltzgh skill install K-Dense-AI/drug-discovery-agent-skills boltzgit clone --depth 1 https://github.com/K-Dense-AI/drug-discovery-agent-skills /tmp/K-Dense-AI__drug-discovery-agent-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/K-Dense-AI__drug-discovery-agent-skills/skills/boltz ~/.claude/skills/boltz # Claude Code
cp -R /tmp/K-Dense-AI__drug-discovery-agent-skills/skills/boltz ~/.agents/skills/boltz # Codex, Cursor, Gemini CLI, Copilot, OpenCode