OpenSim Modeler Skill
SkillDev toolsOpenSim musculoskeletal modeling skill for biomechanical simulation and analysis
Use OpenSim Modeler Skill in Claude, ChatGPT or Ahel Desktop
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Details
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.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
opensim-modeler- Source
- github.com/a5c-ai/babysitter
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