Materials Database Querier
SkillDatabases & dataMaterials database query skill for accessing structure and property data from multiple repositories
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Materials Database Querier skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/nanotechnology/skills/materials-database-querier/SKILL.md and read by ahel’s review.
Purpose
The Materials Database Querier skill provides unified access to multiple materials databases for structure and property retrieval, enabling comprehensive materials search and data aggregation across repositories.
Capabilities
- Materials Project API integration
- AFLOW database queries
- ICSD/CSD structure retrieval
- NOMAD repository access
- Cross-database searches
- Property aggregation and comparison
Usage Guidelines
Database Query Workflow
-
Query Design
- Define search criteria
- Select target databases
- Set property filters
-
Data Retrieval
- Execute queries
- Handle pagination
- Aggregate results
-
Data Processing
- Standardize formats
- Compare across sources
- Export for analysis
Process Integration
- Machine Learning Materials Discovery Pipeline
- DFT Calculation Pipeline for Nanomaterials
- Structure-Property Correlation Analysis
Input Schema
{
"query_type": "composition|structure|property",
"databases": ["materials_project", "aflow", "icsd"],
"criteria": {
"elements": ["string"],
"property_range": {"property": "string", "min": "number", "max": "number"}
},
"limit": "number"
}
Output Schema
{
"materials": [{
"id": "string",
"formula": "string",
"structure_file": "string",
"properties": {
"bandgap": "number",
"formation_energy": "number"
},
"source": "string"
}],
"total_found": "number",
"query_metadata": {
"databases_searched": ["string"],
"query_time": "number"
}
}
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
materials-database-querier- Source
- github.com/a5c-ai/babysitter
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