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name: lors-knowledge-master description: Primary entry point for the Lunar Open-source Rover Standard (LORS). Use this to find specialized information about rovers, landers, missions, and companies.

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.