fea-structural-engine
Finite Element Analysis skill for linear and nonlinear structural analysis, modal analysis, and load combination processing
npx skills add a5c-ai/babysitter --skill fea-structural-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# FEA Structural Engine Skill ## Purpose The FEA Structural Engine Skill performs structural analysis using finite element methods, including linear and nonlinear analysis, dynamic analysis, and comprehensive load combination processing per applicable design codes. ## Capabilities - Linear and nonlinear structural analysis - Static and dynamic load analysis - Modal analysis for seismic design - Stress, strain, and deflection calculations - Load combination processing per ASCE 7 - Support for beam, column, plate, and shell elements - Response spectrum analysis - P-delta effects analysis ## Usage Guidelines ### When to Use - Analyzing structural systems - Performing seismic dynamic analysis - Evaluating load combinations - Checking deflection and stress limits ### Prerequisites - Structural model defined - Load cases identified - Material properties specified - Boundary conditions established ### Best Practices - Verify mesh convergence - Validate against hand calculations - Check equilibrium at supports - Document analysis assumptions ## Process Integration This skill integrates with: - Structural Load Analysis - Reinforced Concrete Design - Structural Steel Design - Seismic Design
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Configuration
- Output Artifacts
What does the fea-structural-engine skill do?
Finite Element Analysis skill for linear and nonlinear structural analysis, modal analysis, and load combination processing
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill fea-structural-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
