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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.

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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。

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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

  1. Raw Retrieval: Extract ```yaml blocks for machine-readable fields.
  2. Source Maintenance: Ensure every data entry is accompanied by its source link or reference document to preserve the "Link to Truth."
  3. 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。

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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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