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creative-material-design

Generates water treatment material designs with structural descriptions, property predictions, and feasibility analysis.

64|15|Updated Aug 14, 2026
Search Tags:#material design#feasibility analysis#catalyst#scientific research#water treatment#property prediction#mof
One-click install
npx skills add https://github.com/openJiuwen-ai/sciencediscovery --skill creative-material-design-openjiuwen-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: creative-material-design
Source: https://github.com/openJiuwen-ai/sciencediscovery/tree/main/skills/creative-material-design
Command: npx skills add https://github.com/openJiuwen-ai/sciencediscovery --skill creative-material-design-openjiuwen-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Researchers working on water treatment need concrete, scientifically grounded material candidates from abstract hypotheses, but manually drafting structures, predicting properties, and checking feasibility is slow and error-prone. ## Core Features & Use Cases - Structured Material Design: Produces complete material designs including chemical formula, crystal structure, morphology, functional groups, and active site descriptions. - Property Prediction & Feasibility Analysis: Predicts physical, chemical, and performance properties and assesses synthesis feasibility, economic viability, and environmental impact. - Material Classification: Classifies every design into Metal-based, Carbon-based, Polymer-based, Composite, or MOF/COF categories. - Use Case: Given a hypothesis about removing a target pollutant, generate a candidate MOF design with coordination environment, pH and temperature operating ranges, and a structured JSON record ready for downstream assessment. ## Quick Start Ask the agent to design a candidate water treatment material for removing a specific pollutant and return the structured JSON design with property predictions and feasibility analysis.

Frequently Asked Questions about creative-material-design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a water treatment material design from a hypothesis?▼

Provide the research objective, target pollutants, and hypothesis constraints, and the skill produces a structured JSON design. It covers chemical formula, structural features, predicted performance, and synthesis feasibility for each candidate material.

What material types can this design skill generate?▼

Designs are classified into five classes: Metal-based, Carbon-based, Polymer-based, Composite, and MOF/COF. Each design includes composition, crystal structure, morphology, and functional group details appropriate to its class.

Does the material design output include property predictions?▼

Yes, each design predicts physical properties like density and thermal stability, chemical properties like reactivity and corrosion resistance, and performance metrics like catalytic activity, selectivity, and capacity. It also specifies operational pH and temperature ranges.

Can this skill evaluate or score the material designs it creates?▼

No, evaluation and scoring belong to a separate Assessor role, and cross-design synthesis belongs to an Aggregator. This skill only creates candidate designs and documents their rationale, feasibility, and predicted properties.

What happens when material databases or tools are unavailable?▼

The skill must explicitly report when tools are unavailable and explain the implications for the design. It is prohibited from fabricating database identifiers, CAS numbers, MP-IDs, or any reference data not actually returned by tools.

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