aero-database
Systematic generation and management of aerodynamic coefficient databases
Best use case
aero-database is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Systematic generation and management of aerodynamic coefficient databases
Teams using aero-database should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/aero-database/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How aero-database Compares
| Feature / Agent | aero-database | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Systematic generation and management of aerodynamic coefficient databases
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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