opensim-modeler
OpenSim musculoskeletal modeling skill for biomechanical simulation and analysis
Profile →npx skills add a5c-ai/babysitter --skill opensim-modeler --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.
# OpenSim Modeler Skill ## 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 Modeli
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Dependencies
- Configuration
- Output Artifacts
- Quality Criteria
What does the opensim-modeler skill do?
OpenSim musculoskeletal modeling skill for biomechanical simulation and analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill opensim-modeler --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.