report-ecosystem-mapping
Expert skill for generating the LORS Ecosystem Mapping Document, profiling lunar projects and delivery providers.
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
Ecosystem Mapping Reporter Skill
Domain Knowledge
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Source Document:
LORS_ Lunar Rover Standard proposition.md -
Primary Data Sources:
-
rovers/(directory of rover profiles) -
landers/(directory of lander profiles) -
SPACE_ENTITIES.MD -
missions/(directory of mission profiles) -
LUNAR_MISSIONS.MD(Index) -
STUDENT_ROVER_TEAMS.MD -
STANDARDS_AND_DOCS.MD
-
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Dynamic Data Sources:
- Technical PDFs (Payload User Guides - PUGs) located in
data/or workspace. - HTML/Text data exports in
data/.
- Technical PDFs (Payload User Guides - PUGs) located in
Instructions
-
Data Discovery:
- Before profiling, scan the workspace (specifically
data/folder) for any available PDF Payload User Guides (PUGs) or other technical documentation. Use this information to enrich the profiles.
- Before profiling, scan the workspace (specifically
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Rover Project Profiling:
- Profile 8-10 current lunar rover projects.
- For each project, identify the developer, mission status, and key objectives.
- Cross-reference with the
rovers/directory files. UseLUNAR_ROVERS.MDonly as a quick index. - Cross-reference with
STUDENT_ROVER_TEAMS.MDandmissions/(usingLUNAR_MISSIONS.MDas index) for context.
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Delivery Provider Assessment:
- Assess 3-5 lunar delivery providers (landers/transport).
- Analyze their capabilities, payload capacity, and compatibility with rovers.
- Cross-reference with the
landers/directory files. UseLUNAR_LANDERS.MDonly as a quick index. - Cross-reference with
SPACE_ENTITIES.MDandmissions/(usingLUNAR_MISSIONS.MDas index).
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High-Level System Approach:
- Describe the general approach for each profiled project.
- Identify common trends (e.g., cube rovers, swarm architectures) and divergent strategies.
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Report Writing Standards:
- Academic/Scientific Rigor: Reports should be analytical and evidence-based, using technical terminology appropriately.
- Simplicity & Accessibility: Write clearly and concisely. Avoid unnecessary jargon. Explain complex concepts in straightforward language.
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References: Use standard Markdown footnotes for all citations.
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Strict Format:
[^1]: <Description>, [<Filename>](../<path_to_file>) -
Example:
[^1]: Astrobotic Griffin PUG, [landers/GRIFFIN.MD](../landers/GRIFFIN.MD)
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Strict Format:
- Structure: Use clear headings, bullet points, and tables to enhance readability.
- Evidence-Based: Every conclusion should be supported by data from the primary sources.
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Report Structure & Output:
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Target Output File:
reports/ECOSYSTEM_MAPPING.MD - The output should support the creation of the "Ecosystem Mapping Document" (target length: 8-10 pages).
- Expected sections: Executive Summary, Rover Project Profiles, Delivery Provider Assessment, Ecosystem Trends.
- Include a references section listing all sources consulted.
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Target Output File:
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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