OpenSim Modeler Skill
SkillDev toolsOpenSim musculoskeletal modeling skill for biomechanical simulation and analysis
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the OpenSim Modeler Skill skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/biomedical-engineering/skills/opensim-modeler/SKILL.md and read by ahel’s review.
Purpose
The OpenSim Modeler Skill facilitates musculoskeletal modeling and simulation using OpenSim, supporting biomechanical analysis, device design, and clinical research applications.
Capabilities
- Model scaling to subject anthropometry
- Inverse kinematics and dynamics
- Static optimization
- Computed muscle control
- Joint reaction analysis
- Custom model development
- Prosthetic/orthotic integration
- Muscle force estimation
- Metabolic cost prediction
- Sensitivity analysis
- Model validation workflows
Usage Guidelines
When to Use
- Creating subject-specific musculoskeletal models
- Estimating muscle forces and joint loads
- Evaluating prosthetic/orthotic designs
- Supporting surgical planning
Prerequisites
- Motion capture data available
- Subject anthropometric measurements
- Base musculoskeletal model selected
- Experimental markers defined
Best Practices
- Validate model scaling with experimental data
- Assess inverse kinematics residuals
- Verify physiological muscle activations
- Document model modifications
Process Integration
This skill integrates with the following processes:
- Gait Analysis and Musculoskeletal Modeling
- Orthopedic Implant Biomechanical Testing
- Clinical Study Design and Execution
- Human Factors Engineering and Usability
Dependencies
- OpenSim software
- MATLAB/Python scripting
- Motion capture data
- Musculoskeletal model libraries
- Computational resources
Configuration
opensim-modeler:
model-types:
- lower-extremity
- upper-extremity
- full-body
- spine
analysis-tools:
- inverse-kinematics
- inverse-dynamics
- static-optimization
- CMC
- joint-reaction
output-variables:
- muscle-forces
- joint-moments
- joint-reactions
- metabolic-cost
Output Artifacts
- Scaled musculoskeletal models
- Kinematics results
- Muscle force estimates
- Joint reaction forces
- Simulation reports
- Validation metrics
- Sensitivity analysis results
- Visualization files
Quality Criteria
- Model scaling matches subject anthropometry
- Inverse kinematics residuals acceptable
- Muscle activations physiologically plausible
- Joint reactions validated where possible
- Results reproducible
- Documentation complete
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
opensim-modeler- Source
- github.com/a5c-ai/babysitter