Menu
Guide multimodal observation for spacecraft situational awareness. Use for perception-heavy tasks that combine image quality, segmentation, local inspection, and knowledge-base reasoning.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| name | perception-strategy |
| description | Guide multimodal observation for spacecraft situational awareness. Use for perception-heavy tasks that combine image quality, segmentation, local inspection, and knowledge-base reasoning. |
| metadata | {"skill_kind":"helper","routing_summary":"Add when the mission depends on structured visual evidence gathering and multimodal inspection.","routing_keywords":["perception","observe","image analysis","multimodal evidence","visual summary","inspect components","component status","components status"]} |
image_bright() if visibility is questionable, and use set_exposure() when brightness itself is the bottleneck.part_segmentation() when segmentation is exposed.image_zoom() when the target is centered but important details are too small to judge from the full frame.image_crop() when you need a local view of a specific region such as an antenna, docking port, solar panel root, or damaged area.[Sensor] LiDAR block shows data and geometry is still ambiguous, use it as an additional structural cue.knowledge_base() after enough visual evidence exists to connect observed structure to type and function.Use set_attitude() when a different angle is needed to disambiguate spacecraft status or components.
Use image_zoom() or image_crop() before changing viewpoint when the needed evidence is already visible but too small in the current image.
Do not loop on perception tools after the answer is already well-supported. Prefer the currently exposed visual tools first, and terminate once the evidence is sufficient.
Fly around a visible target and station directly above it at a safe distance. Use for reposition tasks that must end overhead of the target rather than in front of it.
Always-on operational baseline for SpaceMind. Defines shared coordinates, action policy, safety guards, observability rules, and perception workflow for all tasks.
Image-first laboratory navigation policy for ground-robot experiments. Use when the task must be solved with raw current images, conservative motion, and no oracle geometry.
Recover a temporarily lost target in the laboratory with bounded planar search and no blind forward motion.
Safely approach a visible laboratory satellite target and stop in a conservative near-front hold using only current images and motion tools.
Diagnose the laboratory target from raw image evidence, conservative viewpoint changes, and optional code support.