smithery.ai

report-ecosystem-mapping

Expert skill for generating the LORS Ecosystem Mapping Document, profiling lunar projects and delivery providers.

First seen Mar 20, 2026

Installation

$ npx skills add https://smithery.ai

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,047 B
  • docs SUMMARY.md 145 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 1 installs

SKILL.md

Ecosystem Mapping Reporter Skill

Domain Knowledge

  • Source Document: LORS_ Lunar Rover Standard proposition.md
  • Primary Data Sources:

- rovers/ (directory of rover profiles) - landers/ (directory of lander profiles) - SPACEENTITIES.MD - missions/ (directory of mission profiles) - LUNARMISSIONS.MD (Index) - STUDENTROVERTEAMS.MD - STANDARDSANDDOCS.MD

  • Dynamic Data Sources:

- Technical PDFs (Payload User Guides - PUGs) located in data/ or workspace. - HTML/Text data exports in data/.

Instructions

  1. 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.

  1. 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. Use LUNARROVERS.MD only as a quick index. - Cross-reference with STUDENTROVERTEAMS.MD and missions/ (using LUNARMISSIONS.MD as index) for context.

  1. 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. Use LUNARLANDERS.MD only as a quick index. - Cross-reference with SPACEENTITIES.MD and missions/ (using LUNAR_MISSIONS.MD as index).

  1. High-Level System Approach:

- Describe the general approach for each profiled project. - Identify common trends (e.g., cube rovers, swarm architectures) and divergent strategies.

  1. 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. - References: Use standard Markdown footnotes for all citations. - Strict Format: [^1]: <Description>, [<Filename>](../<pathtofile>) - Example: [^1]: Astrobotic Griffin PUG, [landers/GRIFFIN.MD](../landers/GRIFFIN.MD) - Structure: Use clear headings, bullet points, and tables to enhance readability. - Evidence-Based: Every conclusion should be supported by data from the primary sources.

  1. Report Structure & Output:

- 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.