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Skills space-autonomy-quantum

Autonomous space navigation agent using optical quantum kernels for terrain classification.

install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aadipapp/space-autonomy-skill" ~/.claude/skills/clawdbot-skills-space-autonomy-quantum && rm -rf "$T"
manifest: skills/aadipapp/space-autonomy-skill/SKILL.md
source content

Space Autonomy Quantum Skill

This skill simulates an autonomous agent for space exploration that uses Optical Quantum Kernels to classify terrain. It emphasizes highest safety by implementing strict confidence thresholds. If the quantum classifier is uncertain, the agent triggers a failsafe "SAFE MODE".

Features

  • Quantum Perception: Uses simulated optical quantum interference to recognize terrain features.
  • Safety Failsafe: Automatically halts if classification confidence is below 0.8.
  • Autonomous Decision Making: Decides to "Navigate" or "Avoid" based on quantum kernel results.

Commands

  • navigate
    : Process a sensor reading and decide on an action.