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GitHub Skill

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.

Official-MoonDao☆ 7 Repository stars2 Repository forks

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

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Skill instructions

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.

Examples

Read the usage examples in the source repository.

View source ↗

Source history

Indexed on
2026-01-20
Index updated
2026-01-26
Branch
main

Index and sync dates describe this directory. View the source repository for code history.

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