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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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/lors-knowledge-master

SKILL.md

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 ```yaml blocks 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.