materials-database-querier

Materials database query skill for accessing structure and property data from multiple repositories

509 stars

Best use case

materials-database-querier is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Materials database query skill for accessing structure and property data from multiple repositories

Teams using materials-database-querier should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/materials-database-querier/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/nanotechnology/skills/materials-database-querier/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/materials-database-querier/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How materials-database-querier Compares

Feature / Agentmaterials-database-querierStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Materials database query skill for accessing structure and property data from multiple repositories

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Materials Database Querier

## 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

1. **Query Design**
   - Define search criteria
   - Select target databases
   - Set property filters

2. **Data Retrieval**
   - Execute queries
   - Handle pagination
   - Aggregate results

3. **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

```json
{
  "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

```json
{
  "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"
  }
}
```

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