lors-knowledge-master
Primary entry point for the Lunar Open-source Rover Standard (LORS). Use this to find specialized information about rovers, landers, missions, and companies.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
查看来源 ↗使用指南技能说明
LORS Knowledge Master Skill
This skill allows the AI to navigate and synthesize the LORS documentation and data registry.
Core Data Philosophy
The LORS registry is a unified data collection framework using Markdown with YAML metablocks.
- Primary Goal: High-precision collection of technical specifications and mission outcomes.
- Data Integrity: Prioritize raw data from Payload User Guides (PUGs) and official mission reporting.
- Provenance: Always preserve and link to original sources (URLs, PDFs, official press releases) to maintain data validity.
Specialized Experts
When asked about specific categories, use these sub-skills for data retrieval:
-
Rovers/Mobility:
lunar-rovers-expert(collecting mobility and proximity comms data) -
Landers/Interfaces:
lunar-landers-expert(collecting electrical, data, and mechanical specs) -
Missions/Outcomes:
lunar-missions-expert(collecting timeline and manifest data) -
Entities/Heritage:
space-entities-expert(collecting entity capabilities and flight history)
Data Operations
-
Raw Retrieval: Extract
```yamlblocks for machine-readable fields. - Source Maintenance: Ensure every data entry is accompanied by its source link or reference document to preserve the "Link to Truth."
- Cross-Referencing: Link entities to landers, and landers to mission manifests to ensure data consistency.
使用示例
查看来源仓库中的使用示例与配置说明。
查看来源 ↗来源历史
- 收录时间
- 2026-01-20
- 索引更新时间
- 2026-01-26
- Branch
- main
收录与同步日期属于本站记录。源码修改历史请查看来源仓库。
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