Agent Skills › Cai-aa/CAE-Agent-Hub › aedt-evidence-electromagnetics

aedt-evidence-electromagnetics

GitHub

用于Ansys Electronics Desktop和PyAEDT的自动化工作流，涵盖Maxwell、HFSS等电磁仿真。强调证据优先，通过工具链执行设计创建、求解、场提取及报告生成，确保结果可验证。

Skill/Ansys/aedt-evidence-electromagnetics/SKILL.md Cai-aa/CAE-Agent-Hub

Trigger Scenarios

需要自动化Ansys AEDT仿真任务使用PyAEDT进行电磁场计算或矩阵分析生成电磁仿真项目的完整证据链和报告

Install

npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -g -y

More Options

Non-standard path

npx skills add https://github.com/Cai-aa/CAE-Agent-Hub/tree/main/Skill/Ansys/aedt-evidence-electromagnetics -g -y

Use without installing

npx skills use Cai-aa/CAE-Agent-Hub@aedt-evidence-electromagnetics

指定 Agent (Claude Code)

npx skills add Cai-aa/CAE-Agent-Hub --skill aedt-evidence-electromagnetics -a claude-code -g -y

安装 repo 全部 skill

npx skills add Cai-aa/CAE-Agent-Hub --all -g -y

预览 repo 内 skill

npx skills add Cai-aa/CAE-Agent-Hub --list

SKILL.md

Frontmatter

{
    "name": "aedt-evidence-electromagnetics",
    "description": "Evidence-first Ansys Electronics Desktop and PyAEDT automation for Maxwell, HFSS, Q3D, Icepak, and related electromagnetic workflows. Use when Codex must check AEDT\/PyAEDT, create or run a real AEDT design, verify the selected design and solution type, extract fields or matrices, export an .aedt project, or distinguish direct PyAEDT work from an AEDT MCP bridge."
}

AEDT Evidence Electromagnetics

Use the repository toolbox and a user-owned AEDT installation. Never infer a successful electromagnetic solve from ansysedt.exe, a project file, or a geometry screenshot.

Start

ai-cae-toolbox context-scope --solver aedt
ai-cae-toolbox bridge-plan --solver aedt --objective "<objective>"
ai-cae-toolbox create-run --solver aedt --case <case-name> --objective "<objective>"
ai-cae-toolbox write-smoke-template --solver aedt --run-dir <run-dir>

If MCP is available, prefer:

aedt_check_installation
aedt_run_pyaedt_script_file
scan_run_evidence
generate_run_report

Select the Correct Route

Use direct PyAEDT when the requested solver or API surface is not exposed by the installed MCP.
Use an AEDT MCP only for capabilities it actually exposes.
Do not build HFSS when the task requires Maxwell, or claim that an HFSS-focused MCP completed a Maxwell workflow.
Record AEDT version, PyAEDT version, project, design name, design type, solution type, and whether a new or existing desktop session was used.

Execute

Keep scripts in scripts/, source parameters in inputs/, project outputs in outputs/, and field plots/tables in exports/. Make every geometry dimension, material, excitation, boundary, setup, and sweep explicit.

For Maxwell matrix work, audit winding polarity and reciprocity. For HFSS, audit ports, modes, radiation boundaries, frequency setup, adaptive convergence, and S-parameter passivity. Read references/acceptance-gates.md before interpreting solver output.

Finish

Collect the AEDT project, solver/adaptive log, mesh statistics, numeric CSV/JSON, field images, and a report. Clearly label any external circuit calculation or Python-derived plot that is not a native AEDT result.

ai-cae-toolbox scan-evidence <run-dir>
ai-cae-toolbox generate-report <run-dir>

Version History

fc7b93e Current 2026-08-16 08:57

Metadata

Files: 0
Version: fff1238
Hash: d77bbd9c
Indexed: 2026-08-16 08:57

aedt-evidence-electromagnetics