OpenSim Modeler Skill

SkillDev tools

OpenSim musculoskeletal modeling skill for biomechanical simulation and analysis

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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