aero-database
Systematic generation and management of aerodynamic coefficient databases
npx skills add a5c-ai/babysitter --skill aero-database --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.
# 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
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the aero-database skill do?
Systematic generation and management of aerodynamic coefficient databases
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill aero-database --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.