mission-trajectory
Expert skill for space mission design and trajectory analysis
npx skills add a5c-ai/babysitter --skill mission-trajectory --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.
# Mission Design and Trajectory Skill ## Purpose Enable comprehensive space mission design and trajectory analysis including orbital mechanics, launch window optimization, and maneuver planning. ## Capabilities - Orbital mechanics calculations - Launch window analysis - Delta-V budgeting and optimization - Transfer trajectory design - Maneuver planning and sequencing - Rendezvous and proximity operations - Entry, descent, and landing analysis - STK and GMAT integration ## Usage Guidelines - Define clear mission objectives and constraints - Optimize trajectories for propellant mass or time of flight - Consider launch vehicle performance and constraints - Account for perturbations in trajectory propagation - Plan contingency maneuvers for off-nominal conditions - Document trajectory design assumptions and margins ## Dependencies - STK (Systems Tool Kit) - GMAT - MATLAB Aerospace Toolbox ## Process Integration - AE-014: Mission Design and Analysis
- Purpose
- Capabilities
- Usage Guidelines
- Dependencies
- Process Integration
What does the mission-trajectory skill do?
Expert skill for space mission design and trajectory analysis
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill mission-trajectory --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.