10 actions in 5 pieces of software · ranked by words, meaning and measured trust · 617 ms
MCP serverrecord
- agv_simulation_planner_plan_space_time_path
Computes a collision-free bounded-horizon trajectory for an AGV using Space-Time graph search.
- agv_simulation_planner_detect_deadlocks
Evaluates the precedence graph G_P using DFS cycle detection to find circular deadlocks.
- agv_simulation_planner_check_sat_collision
Checks for polygon footprint overlap using a distance/SAT bounding envelope.
- agv_simulation_planner_plan_space_time_path
skilltoonight/get-shit-done-for-antigravityrecord
- gsd-planner
Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification
- gsd-planner
robot command setros-planning/moveit2record
- pilz_industrial_motion_planner/plugin/pilz_industrial_motion_planner::PlanningContextLoaderLIN
Plug-in (fills pilz_industrial_motion_planner::PlanningContextLoader): Loader for LIN Context
- pilz_industrial_motion_planner/plugin/pilz_industrial_motion_planner::PlanningContextLoaderPTP
Plug-in (fills pilz_industrial_motion_planner::PlanningContextLoader): Loader for PTP Context
- pilz_industrial_motion_planner/plugin/pilz_industrial_motion_planner::PlanningContextLoaderCIRC
Plug-in (fills pilz_industrial_motion_planner::PlanningContextLoader): Loader for CIRC Context
- pilz_industrial_motion_planner/plugin/pilz_industrial_motion_planner::PlanningContextLoaderPolyline
Plug-in (fills pilz_industrial_motion_planner::PlanningContextLoader): Loader for Polyline Context
- pilz_industrial_motion_planner/plugin/pilz_industrial_motion_planner::PlanningContextLoaderLIN
skillam-will/codex-skillsrecord1,037 stars
- swarm-planner
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
- swarm-planner
robot command setautowarefoundation/autoware_corerecord
- autoware_mission_planner/node/autoware::mission_planner::MissionPlannerNode
Composable ROS 2 node autoware::mission_planner::MissionPlannerNode (also runs as mission_planner)
- autoware_mission_planner/node/autoware::mission_planner::MissionPlannerNode
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.