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fem-analysis

Modal analysis of a membrane STL using Kirchhoff plate FEM (scipy eigensolver).

Skill by lamm-mit

IndexedApache-2.0★ 250
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Modal analysis of a membrane STL using Kirchhoff plate FEM (scipy eigensolver). Takes a binary STL + material properties JSON, constructs a 2D rectangular FEM mesh, assembles stiffness and mass matrices, extracts the first N eigenfrequencies, and reports whether any mode falls in a target frequency range. Returns artifact JSON with eigenfrequencies_hz, mode_shapes_png, and target_range_pass.

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
None asked for
Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/fem-analysis

What's inside

Skill name
fem-analysis
Description
Modal analysis of a membrane STL using Kirchhoff plate FEM (scipy eigensolver). Takes a binary STL + material properties JSON, constructs a 2D rectangular FEM mesh, assembles stiffness and mass matrices, extracts the first N eigenfrequencies, and reports whether any mode falls in a target frequency range. Returns artifact JSON with eigenfrequencies_hz, mode_shapes_png, and target_range_pass.
License
Apache-2.0
Metadata
category: materials-design · requires: numpy, scipy
Instructions
31 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (5)

  • SKILL.md
  • mechanism_analysis.cpython-313.pyc · scripts/__pycache__/
  • modal_analysis.cpython-313.pyc · scripts/__pycache__/
  • mechanism_analysis.py · scripts/
  • modal_analysis.py · scripts/

SKILL.md (first lines)

# FEM Modal Analysis

Kirchhoff thin-plate finite element modal analysis for ribbed membrane resonators.

## Usage

```bash
python3 {baseDir}/scripts/modal_analysis.py \
  --stl /path/to/membrane.stl \
  --material '{"E_Pa":3e9,"nu":0.35,"rho_kg_m3":1500}' \
  --target-freq-min 2000 \
  --target-freq-max 8000 \
  --output /tmp/fem_results.json
```

## Output JSON

```json
{
  "eigenfrequencies_hz": [1234.5, 2345.6, ...],
  "num_modes": 10,
  "target_range_hz": [2000, 8000],
  "target_range_pass": true,
  "modes_in_range": [2345.6, 4567.8],
  "mode_shapes_png": "/tmp/mode_shapes.png",
  "mesh_nx": 40, "mesh_ny": 120,
  "material": {"E_Pa": 3e9, "nu": 0.35, "rho_kg_m3": 1500}
}
```

From lamm-mit/scienceclaw, Apache-2.0.

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Stars
250
Forks
47
Open issues
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Last commit (this folder)
Mar 14, 2026 (7 months ago)
Last release
Jun 23, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
Repository
github.com/lamm-mit/scienceclaw
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

fem-analysis skill. Agent Mart. https://agentmart.dev/skills/lamm-mit-fem-analysis (last updated 2026-10-24)