fea-structural
Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains
Profile →npx skills add a5c-ai/babysitter --skill fea-structural --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.
# Finite Element Analysis Skill ## Purpose The Finite Element Analysis skill provides deep integration with FEA tools for structural simulation, enabling systematic setup, execution, and post-processing of finite element models across static, dynamic, and nonlinear analysis domains. ## Capabilities - ANSYS Mechanical, Abaqus, NASTRAN model setup and execution - Mesh generation strategies and quality assessment - Element type selection and convergence studies - Boundary condition specification and load case management - Linear and nonlinear static analysis configuration - Results post-processing and margin of safety calculation - Mesh independence and sensitivity studies - Report generation with stress/deflection contours ## Usage Guidelines ### Model Setup #### Geometry Preparation 1. **CAD Import and Cleanup** - Defeature small holes and fillets (analysis dependent) - Remove unnecessary detail - Verify watertight geometry - Create symmetry conditions if applicable 2. **Geometry Partitioning** - Partition for mesh control - Create virtual topology for hex meshing - Identify contact surfaces - Define load application regions #### Mesh Generation 1. **Element Selection** | Analysis T
- Purpose
- Capabilities
- Usage Guidelines
- Model Setup
- Analysis Configuration
- Results Post-Processing
- Process Integration
- Input Schema
- Output Schema
- Best Practices
- Integration Points
What does the fea-structural skill do?
Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill fea-structural --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.