Best use case
path-planning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Trajectory planning and motion control algorithm development
Teams using path-planning 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/path-planning/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How path-planning Compares
| Feature / Agent | path-planning | 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?
Trajectory planning and motion control algorithm development
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
# Path Planning Algorithm Skill ## Purpose Enable trajectory planning and motion control algorithm development for autonomous driving applications including behavior planning and emergency maneuvers. ## Capabilities - Behavior planning state machine design - Trajectory optimization (polynomial, spline-based) - Model Predictive Control (MPC) implementation - Lattice planner implementation - Collision checking algorithms - Comfort and safety constraint handling - Emergency maneuver planning - Parking trajectory generation ## Usage Guidelines - Design behavior planning for predictable driving patterns - Optimize trajectories for comfort and efficiency - Implement robust collision checking at all planning stages - Handle edge cases and emergency situations - Validate planning algorithms in simulation - Document algorithm parameters and tuning ## Dependencies - ROS/ROS2 - Apollo - Autoware - MATLAB/Simulink ## Process Integration - ADA-002: Path Planning and Motion Control - ADA-003: ADAS Feature Development - ADA-004: Simulation and Virtual Validation
Related Skills
MoveIt Motion Planning Skill
Deep expertise in MoveIt/MoveIt2 configuration and manipulation planning
Motion Planning Skill
Sampling-based and optimization-based motion planning algorithms
Grasp Planning Skill
Grasp planning and execution for robotic manipulation tasks
OKR Planning
Objectives and Key Results planning, tracking, and alignment capabilities
risk-mitigation-planning
Develop comprehensive risk management plans for collections and cultural venues including disaster preparedness, security protocols, and insurance coordination
test-planning
Skill for comprehensive mechanical test plan development and execution support
process-planning
Skill for manufacturing process planning including operation sequencing and work instructions
gsea-pathway-analyzer
Gene Set Enrichment Analysis skill for functional annotation and pathway interpretation
flight-test-planning
Skill for comprehensive flight test planning and execution support
certification-planning
Expert skill for aerospace certification planning aligned with regulatory requirements
anaplan-planning
Anaplan connected planning for territory and quota management
sprint-planning-calculator
Calculate sprint capacity and support story point estimation