sadassimov/geemu-skill

GEEMu 기술

🇨🇳 한국어

**Google Earth Engine Master Utility (GEEMu) **.

Google Earth Engine Master Utility (GEEMu)는 OpenAI Codex 및 Claude Code의 컴팩트한 풀 스킬 폴더입니다. 그것은 도움 geemap을 사용하여 Google Earth Engine (GEE) Python 워크플로우를 작성합니다. 그것은을 위해 디자인됩니다 연구 급 원격 감지 작업이 먼저 체크해야 현지 환경, 연구 디자인, 데이터에 대한 이유와 이해 경계, 그런 다음 reproducible GEE Python 코드를 작성합니다.

호환성

• OpenAI Codex : 로컬 기술 폴더로 GEEMu를 설치 한 다음 코드를 사용하도록 요청하십시오. GEE/geemap 작업을 위한 GEEMu.
• Claude Code: Claude 기술 디렉토리의 동일한 폴더를 설치 한 다음 GEEMu를 사용하려면 Claude Code를 요청하십시오.
• 기술은 파일 기반입니다. 별도의 벡터 연구 서버가 필요하지 않습니다. embedding 모델 다운로드, 개인 식별, 또는 원래 개발 작업 공간.

설치

GitHub 저장소:

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**완전한 폴더가 설치되지 않습니다. ** 기술에 따라 달라집니다 전체 패키지, 특히 지역 지식 베이스 gee_vector_db/chunks.jsonl 및 gee_vector_db/documents.jsonl] (메가 바이트):

GEEMu Skill

🇨🇳 中文版

Google Earth Engine Master Utility (GEEMu).

Google Earth Engine Master Utility (GEEMu) is a compact full skill folder for OpenAI Codex and Claude Code. It helps write Google Earth Engine (GEE) Python workflows with geemap. It is designed for research-grade remote sensing tasks where the assistant must first check the local environment, understand the study design, reason about data and boundaries, then write reproducible GEE Python code.

Compatibility

• OpenAI Codex: install GEEMu as a local skill folder, then ask Codex to use GEEMu for GEE/geemap tasks.
• Claude Code: install the same folder under the Claude skills directory, then ask Claude Code to use GEEMu.
• The skill is file-based. It does not require a separate vector-search server, embedding model download, private credentials, or the original development workspace.

Installation

GitHub repository:

https://github.com/sadassimov/geemu-skill

Install the complete folder — do not skip any files. The skill depends on the whole package, especially the local knowledge base gee_vector_db/chunks.jsonl and gee_vector_db/documents.jsonl (tens of MB): these JSONL files are what the retrieval workflow searches, so the skill will not work without them. git clone and GitHub’s “Download ZIP” already include every file — just don’t hand-pick files, exclude large/.jsonl files, or use a shallow/sparse/partial checkout.

Option A: Clone From GitHub

For OpenAI Codex on Windows PowerShell:

git clone https://github.com/sadassimov/geemu-skill.git "$env:USERPROFILE\.codex\skills\GEEMu"

For Claude Code on Windows PowerShell:

git clone https://github.com/sadassimov/geemu-skill.git "$env:USERPROFILE\.claude\skills\GEEMu"

For OpenAI Codex on macOS/Linux:

git clone https://github.com/sadassimov/geemu-skill.git ~/.codex/skills/GEEMu

For Claude Code on macOS/Linux:

git clone https://github.com/sadassimov/geemu-skill.git ~/.claude/skills/GEEMu

Option B: Download ZIP

1. Open https://github.com/sadassimov/geemu-skill.
2. Download the repository as a ZIP file.
3. Unzip it and rename the folder to GEEMu.
4. Put the folder here for Codex: ~/.codex/skills/GEEMu.
5. Put the folder here for Claude Code: ~/.claude/skills/GEEMu.

Windows users can use these equivalent locations:

• Codex: %USERPROFILE%\.codex\skills\GEEMu
• Claude Code: %USERPROFILE%\.claude\skills\GEEMu

Architecture

GEEMu uses a layered design:

• SKILL.md: the main instruction layer. It tells the assistant how to start every GEE task, including project ID, authentication, geemap import, proxy