Best use case
control-law-design is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Expert skill for flight control law development and tuning
Teams using control-law-design 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/control-law-design/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How control-law-design Compares
| Feature / Agent | control-law-design | 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?
Expert skill for flight control law development and tuning
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
# Flight Control Law Design Skill ## Purpose Enable expert flight control law development including classical and modern control design methods, stability analysis, and robustness verification. ## Capabilities - MATLAB/Simulink control law implementation - Classical control design (PID, lead-lag) - Modern control methods (LQR, H-infinity) - Gain scheduling implementation - Stability margin analysis - Robustness analysis - Nonlinear simulation - Pilot-in-the-loop simulation support ## Usage Guidelines - Define clear control objectives and performance requirements - Ensure adequate stability margins across the flight envelope - Consider actuator dynamics and rate limits in design - Verify robustness to modeling uncertainties and variations - Test control laws with representative pilot inputs - Document gain schedules and implementation details ## Dependencies - MATLAB/Simulink - Control System Toolbox - Robust Control Toolbox ## Process Integration - AE-011: Flight Control Law Development - AE-012: Handling Qualities Assessment
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