aflow-materials-discovery
AFLOW automatic materials discovery skill for high-throughput DFT calculations and materials database queries
npx skills add a5c-ai/babysitter --skill aflow-materials-discovery --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.
# AFLOW Materials Discovery ## Purpose Provides expert guidance on AFLOW for high-throughput materials discovery, including database queries, workflow generation, and machine learning integration. ## Capabilities - AFLOW database API queries - Automatic workflow generation - Thermodynamic stability analysis - Prototype structure generation - Descriptor calculation - Machine learning integration ## Usage Guidelines 1. **Database Queries**: Search AFLOW database for materials 2. **Workflow Generation**: Create automatic DFT workflows 3. **Stability Analysis**: Analyze thermodynamic stability 4. **Prototypes**: Generate crystal structure prototypes 5. **ML Integration**: Calculate descriptors for ML models ## Tools/Libraries - AFLOW - aflow.py - Materials Project API
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the aflow-materials-discovery skill do?
AFLOW automatic materials discovery skill for high-throughput DFT calculations and materials database queries
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill aflow-materials-discovery --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.