autodock-docking-engine
AutoDock molecular docking skill for small molecule binding prediction and virtual screening
npx skills add a5c-ai/babysitter --skill autodock-docking-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# AutoDock Docking Engine Skill ## Purpose Provide AutoDock molecular docking for small molecule binding prediction and virtual screening. ## Capabilities - Receptor and ligand preparation - Grid generation and docking - Scoring function evaluation - Pose clustering and ranking - Batch virtual screening - Binding affinity prediction ## Usage Guidelines - Prepare receptor and ligand structures properly - Define appropriate grid box dimensions - Validate docking protocol with known binders - Cluster poses by binding mode - Screen compound libraries efficiently - Document docking parameters ## Dependencies - AutoDock Vina - GOLD - Glide - rDock ## Process Integration - Molecular Docking and Virtual Screening (molecular-docking) - Protein Structure Prediction (protein-structure-prediction)
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the autodock-docking-engine skill do?
AutoDock molecular docking skill for small molecule binding prediction and virtual screening
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill autodock-docking-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.