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Reads and summarises ScenarioRunner output — the criteria pass/fail tables from --output/--file, the machine-readable --json and --junit result files, and the criteria JSON written alongside a --record recording — and runs the metrics module (metrics_manager.py) to compute custom measurements over a recorded run offline, without the simulator. Use when the user asks "did the scenario pass", "why did it fail", "summarise these results", "compare these runs", or wants distance/speed/lane metrics from a recording.

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Writes a new Scenic scenario (.scenic) from a natural-language description — "a car cuts in from the right lane", "a pedestrian crosses in front of the ego", "negotiate an unsignalized four-way" — by turning the request into a spec, generating the file from idioms proven on this build, and validating it by compiling and sampling before any simulator is involved. Use when the user asks to "write a Scenic scenario", "create a .scenic file", "turn this description into Scenic", "generate a scenario from text", or wants a Scenic scenario authored or repaired.

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Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.

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Build and optimize quantum circuits with PennyLane, including models that combine quantum circuits with PyTorch or JAX. Explore molecular energy estimation and optimization problems, validate values and gradients in simulation, and prepare tested circuits for provider plugins.

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• Check quantum circuit values and gradients in simulation
• Train hybrid quantum and PyTorch or JAX models
• Estimate molecular energies with VQE

Review a marketing plan by clarifying the customer, their need, and the product’s positioning. Examine acquisition channels, customer acquisition costs, and payback periods, then produce a verdict and three concrete next steps.

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• Reviewing a campaign before launch
• Revising positioning or a tagline
• Assessing spending on a new acquisition channel

Create and validate SRDF files that define how MoveIt2 plans robot motion. Check planning groups, named poses, end effectors, and collision exclusions against an existing URDF robot model, then review the model visually.

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• Define planning groups for a robot arm
• Check named poses and joint limits
• Review collision exclusion settings

Fill documentation gaps identified by a CARLA documentation audit, following the project's writing style. Work through one category at a time, assess which findings deserve entries, update source files, and report changes and skipped findings.

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• Add missing Python API documentation
• Expand sensor reference documentation
• Review outdated API entries for renaming or removal

Import FBX 3D models into CARLA on UE 5.8 and register them as props that can be placed in a simulation. Check measured dimensions, adjust scale, verify placement on a running server, and undo imports when needed.

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• Add a custom bench or object to CARLA
• Fix imported props missing from the blueprint library
• Import a folder of props organized by tag

Build CARLA for Unreal Engine 5.8 using CMake, the tool that configures its build process. The skill guides engine setup, optional ROS 2 support, Python API rebuilding, editor builds, and checks that the expected files were actually produced.

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• Building CARLA for Unreal Engine 5.8
• Building and verifying native ROS 2 support
• Rebuilding the Python API after client changes

Import a custom pedestrian into CARLA on UE 5.8, connect it to the shared animation skeleton, and verify that it moves. Export an existing walker as an FBX starting point or investigate a walker that stands still.

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• Add a custom pedestrian to CARLA
• Export an existing walker as an FBX for editing
• Investigate a walker that spawns but does not move

Guides custom map imports into CARLA on UE 5.8, from FBX geometry and OpenDRIVE road data to packaging or temporary road generation. Helps choose a supported route and verify map files and loading.

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• Testing a road network from an OpenDRIVE file
• Importing a town with buildings into the editor
• Including a custom map in a server package

Prepare and launch Autoware with CARLA on UE 5.8 through its native ROS 2 interface. Check communication topics and sensors, generate required maps, and configure either the classical stack or camera-only VAD model.

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• Check whether a CARLA build supports Autoware
• Inspect topics exchanged between CARLA and Autoware
• Generate lanelet2 and point-cloud maps for a town

Create, migrate, refine, or debug CARLA vehicle assets with Blender and Unreal. Use real vehicle references to guide geometry and materials, configure wheels, lights, and physics, and deliver editable sources with evidence from runtime validation.

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• Creating a CARLA vehicle from real vehicle references
• Refining tires, materials, or body geometry
• Migrating vehicles and debugging Unreal integration

Package a CARLA server built with UE 5.8 for distribution, choosing which maps to include. Inspect the resulting files for mismatched containers, missing road data, and exposure settings that can cause runtime failures.

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• Packaging a CARLA server with selected maps
• Investigating a black screen in a packaged server
• Checking road data and package consistency

Check which CARLA features are missing on UE 5.5 compared with UE 5.8. Read source markers to identify the checkout, review unsupported workflows, and see which UE 5.8 procedures also apply.

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• Checking whether Autoware can be used on UE 5.5
• Reviewing ROS 2 middleware restrictions
• Investigating a black screen when loading Town12

Explore roads, lanes, and junctions in a CARLA simulation map through text reports and visual overlays. Locate places described in everyday language, inspect nearby lane details, and trace a path forward or backward along a lane.

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• Understand a map's road and lane layout
• Compare the road network overlay with visible roads
• Locate the four-way junction nearest the map center

Evaluate a driving agent on CARLA Leaderboard routes after checking the required setup. Select routes and repetitions, save driving scores and infractions, record runs, and resume interrupted evaluations from a saved checkpoint.

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• Smoke-test a Leaderboard setup on one route
• Evaluate an agent across validation routes
• Resume an evaluation after a crash

Draws points, lines, arrows, boxes, and text over a running CARLA world to visually check positions, paths, and objects. Sets colors and display lifetimes for temporary debugging overlays, without creating persistent actors or output files.

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• Marking a world position for inspection
• Visualizing paths and waypoints
• Adding a box and label around a target

Places cameras, lidar, and other sensors in a running CARLA world, attached to vehicles or fixed in place. Configures mounting positions and sensor attributes, enables supported ROS 2 data publishing, and reports sensor IDs for later data reading.

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• Mounting a dashcam on the ego vehicle
• Preparing a lidar for point cloud capture
• Adding GNSS or collision sensors

Read CARLA Leaderboard result files to understand driving scores, route completion, and penalties. Investigate low scores, compare two runs, merge split results, or recalculate scores under version 2.0 or 2.1 rules without rerunning the simulation.

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• Understand driving scores and entry eligibility
• Investigate low scores using route details
• Recalculate results under another version's scoring rules

Control CARLA’s on-screen camera to view a vehicle from behind, above, the driver’s seat, or the front. Select vehicles by name, role, or ID, frame them once, or follow them as they move.

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• Following the ego vehicle from behind
• Viewing a Toyota Prius from the driver’s seat
• Watching a vehicle from above

Control traffic lights in a running CARLA simulation. Change their color, switch them off, hold a fixed state, adjust phase durations, or restore normal cycling, targeting individual lights, junctions, nearby lights, or the whole map.

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• Holding every traffic light green
• Setting one junction's lights to red
• Shortening traffic-light cycles

List, switch, or reload maps on a running CARLA server, or generate a world from road files. Preserve simulation settings when needed and verify the resulting map name, timing settings, and rendering mode.

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• List available maps and switch towns
• Keep synchronous simulation settings when switching maps
• Generate a road world from an OpenDRIVE file

Change weather on a running CARLA simulation server using requests such as heavy rain at sunset or a foggy night. The skill maps words to presets or exact parameters, applies them, and reads back the resulting settings.

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• Setting heavy rain at sunset
• Creating a calm, foggy night scene
• Adjusting only the sun's height