经 AI Skill Hub 精选评估,材料模拟技能 获评「强烈推荐」。这款Agent工作流在功能完整性、社区活跃度和易用性方面表现出色,AI 评分 8.0 分,适合有一定技术背景的用户使用。
材料模拟技能 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
材料模拟技能 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。
# 方式一:pip 安装(推荐)
pip install materials-simulation-skills
# 方式二:虚拟环境安装(推荐生产环境)
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install materials-simulation-skills
# 方式三:从源码安装(获取最新功能)
git clone https://github.com/HeshamFS/materials-simulation-skills
cd materials-simulation-skills
pip install -e .
# 验证安装
python -c "import materials_simulation_skills; print('安装成功')"
# 命令行使用
materials-simulation-skills --help
# 基本用法
materials-simulation-skills input_file -o output_file
# Python 代码中调用
import materials_simulation_skills
# 示例
result = materials_simulation_skills.process("input")
print(result)
# materials-simulation-skills 配置文件示例(config.yml) app: name: "materials-simulation-skills" debug: false log_level: "INFO" # 运行时指定配置文件 materials-simulation-skills --config config.yml # 或通过环境变量配置 export MATERIALS_SIMULATION_SKILLS_API_KEY="your-key" export MATERIALS_SIMULATION_SKILLS_OUTPUT_DIR="./output"
Open-source Agent Skills for computational materials science and numerical simulation workflows.
Give your AI coding agent domain expertise in numerical methods, simulation best practices, and scientific computing -- without re-explaining the same concepts every session. Skills are portable across Claude Code, Codex, Gemini CLI, Cursor, VS Code Copilot, and 20+ other compatible tools.
---
23 skills | 73 scripts | 956 tests | 96 eval cases | 366 assertions | Cross-platform CI on Python 3.10-3.12
Deployment and job submission tooling for running simulations on HPC systems.
| Skill | What it does |
|---|---|
slurm-job-script-generator | Generate sbatch scripts, sanity-check resource requests, and standardize #SBATCH directives |
hpc-runtime-doctor | Diagnose module, MPI/OpenMP/GPU, scheduler, scratch, restart, walltime, and resource mismatch issues |
git clone https://github.com/HeshamFS/materials-simulation-skills.git
cd materials-simulation-skills
pip install -e ".[dev]"
End-to-end simulation management and automation.
| Skill | What it does |
|---|---|
simulation-validator | Pre-flight checks, runtime log monitoring, post-flight validation |
parameter-optimization | DOE sampling (LHS, factorial), optimizer selection, sensitivity analysis |
simulation-orchestrator | Parameter sweeps, batch campaign management, result aggregation |
post-processing | Field extraction, time series analysis, derived quantity computation |
performance-profiling | Timing analysis, scaling studies, memory profiling, bottleneck detection |
workflow-engine-mapper | Map simulations onto jobflow, atomate2, AiiDA, pyiron, or simpler scripts with DAG and provenance guidance |
md-analysis-planner | Plan MD post-processing for RDF, MSD/diffusion, VACF/VDOS, coordination, stress-strain, and equilibration checks |
Copy skills into your workspace or personal skills directory:
```bash
高质量的开源AI工作流,适用于材料科学领域
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
AI Skill Hub 点评:材料模拟技能 的核心功能完整,质量优秀。对于自动化工程师和运维人员来说,这是一个值得纳入个人工具库的选择。建议先在非生产环境试用,再逐步推广。
| 原始名称 | materials-simulation-skills |
| Topics | 材料科学计算科学AI工作流 |
| GitHub | https://github.com/HeshamFS/materials-simulation-skills |
| License | Apache-2.0 |
| 语言 | Python |
收录时间:2026-06-07 · 更新时间:2026-06-07 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。
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