AgentSkillsCN

materials-database-querier

具备从多个数据库中检索结构与性能数据的材料数据库查询技能

SKILL.md
--- frontmatter
name: materials-database-querier
description: Materials database query skill for accessing structure and property data from multiple repositories
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
metadata:
  specialization: nanotechnology
  domain: science
  category: computational
  priority: high
  phase: 6
  tools-libraries:
    - pymatgen
    - Materials Project API
    - AFLOW REST API

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"
  }
}