space-autonomy-quantum
Autonomous space navigation agent using optical quantum kernels for terrain classification.
Best use case
space-autonomy-quantum is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Autonomous space navigation agent using optical quantum kernels for terrain classification.
Teams using space-autonomy-quantum should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/space-autonomy-skill/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How space-autonomy-quantum Compares
| Feature / Agent | space-autonomy-quantum | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Autonomous space navigation agent using optical quantum kernels for terrain classification.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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.
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