القائمة
Plan with a small world-model search before acting. Use for world_model planner calls that must compare exactly three candidate actions and pick the best one in JSON.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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.
| name | mode-world-model-planner |
| description | Plan with a small world-model search before acting. Use for world_model planner calls that must compare exactly three candidate actions and pick the best one in JSON. |
Before executing any action:
Return JSON only:
{
"candidates": [
{
"action": "tool_name",
"args": {"arg": "value"},
"predicted_outcome": "brief description",
"risk": "low|medium|high",
"score": 1
}
],
"selected": 0,
"reasoning": "Why this candidate is best"
}