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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill 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
-
Raw Retrieval: Extract
```yamlblocks 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.
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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