Babysitter aero-database
Systematic generation and management of aerodynamic coefficient databases
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/aerospace-engineering/skills/aero-database" ~/.claude/skills/a5c-ai-babysitter-aero-database && rm -rf "$T"
manifest:
library/specializations/domains/science/aerospace-engineering/skills/aero-database/SKILL.mdsource content
Aerodynamic Database Generation Skill
Purpose
Systematically generate, manage, and maintain aerodynamic coefficient databases for flight simulation, stability analysis, and performance prediction.
Capabilities
- Multi-dimensional parameter sweep configuration
- Automated CFD job submission and monitoring
- Force and moment coefficient extraction
- Database interpolation and extrapolation
- Format conversion for flight simulation
- Database validation and consistency checks
- Version control and change tracking
- Documentation and metadata management
Usage Guidelines
- Define comprehensive parameter ranges covering the flight envelope
- Ensure adequate resolution in critical regions (transonic, high angle of attack)
- Validate database consistency across parameter boundaries
- Implement robust interpolation schemes for smooth coefficient variations
- Maintain version control for database updates and modifications
- Document data sources, assumptions, and limitations
Dependencies
- Database tools
- HPC job schedulers
- MATLAB
- Python data processing libraries
Process Integration
- AE-003: Aerodynamic Database Generation
- AE-013: Flight Simulation Model Development