| 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
- 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.
