space-autonomy-quantum

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

Stars: 15
Source: dvcrn/openclaw-skills-marketplace
Updated: 2026-05-29
Slug: dvcrn--openclaw-skills-marketplace--space-autonomy-quantum

// install — copy + paste into any project

mkdir -p .claude/skills && curl -fsSL https://raw.githubusercontent.com/dvcrn/openclaw-skills-marketplace/HEAD/plugins/aadipapp--space-autonomy-skill/skills/space-autonomy-quantum/SKILL.md -o .claude/skills/space-autonomy-quantum.md

Drops the SKILL.md into .claude/skills/space-autonomy-quantum.md. Works with Claude Code, Cursor, and any agent that loads SKILL.md files from .claude/skills/.

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.