Aerodynamic Database Generation Skill

SkillDatabases & data

Systematic generation and management of aerodynamic coefficient databases

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 Aerodynamic Database Generation Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/aerospace-engineering/skills/aero-database/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
aero-database
Source
github.com/a5c-ai/babysitter