Geoscientists, 원격 감지 연구자 및 GIScientists에 대한 완전히 자동, 도메인 인식 AI 연구 에이전트 - Claude Code 기술에 의해 완전히 구동.

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빠른 시작

NORA는 Claude Code 내에서 실행됩니다. 파이썬 엔트리 포인트가 없습니다. 서버가 회전하고 빌드 단계가 없습니다. Claude Code의 기술 디렉토리에 기술을 떨어 뜨리고 발사기를 호출합니다.

단계 1 - Claude 코드 설치

Claude 코드를 먼저 설치하십시오. 공식 유통 작품 중 :

• CLI (추천):

• Desktop 앱 (macOS / Windows): 다운로드 -VS Code extension: Marketplace에서 “Claude Code” 설치

• 웹:

Anthropic 계정으로 로그인하면 Claude Code가 API에 도달 할 수 있습니다.

Step 2 - NORA를 기계에 가져 오기

Step 3 - Claude Code로 기술을 설치

Claude Code는 ~/.claude/skills/] (사용자 레벨, 모든 프로젝트에서 사용 가능) 또는 /.claude/skills/ (project-local). 이 저장소에서 전체 skills/ 폴더를 해당 위치 중 하나입니다.

** macOS / 리눅스 (사용자 레벨 — 권장):**

Windows PowerShell (사용자 레벨):

Windows bash / 지 Bash:

NORA (Night Owl Research Agent)

A fully automatic, domain-aware AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists — powered entirely by Claude Code skills.

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Quick Start

NORA runs inside Claude Code. There is no Python entry point, no server to spin up, and no build step — you just drop the skills into Claude Code’s skill directory and invoke the launcher.

Step 1 — Install Claude Code

Install Claude Code first. Any of the official distributions works:

• CLI (recommended):

  npm install -g @anthropic-ai/claude-code
  claude --version
  

• Desktop app (macOS / Windows): download from
• VS Code extension: install “Claude Code” from the Marketplace
• Web:

Sign in once with your Anthropic account so Claude Code can reach the API.

Step 2 — Get NORA onto your machine

git clone https://github.com/GRIND-Lab-Core/night_owl_research_agent.git
cd night_owl_research_agent

Step 3 — Install the skills into Claude Code

Claude Code looks for skills under ~/.claude/skills/ (user-level, available in every project) or /.claude/skills/ (project-local). Copy the entire skills/ folder from this repo into one of those locations.

macOS / Linux (user-level — recommended):

mkdir -p ~/.claude/skills
cp -R skills/* ~/.claude/skills/

Windows PowerShell (user-level):

New-Item -ItemType Directory -Force -Path "$env:USERPROFILE\.claude\skills" | Out-Null
Copy-Item -Recurse -Force .\skills\* "$env:USERPROFILE\.claude\skills\"

Windows bash / Git Bash:

mkdir -p "$USERPROFILE/.claude/skills"
cp -R skills/* "$USERPROFILE/.claude/skills/"

Project-local alternative (skills only visible when Claude Code is opened in this folder):

mkdir -p .claude/skills
cp -R skills/* .claude/skills/

Also copy the launcher slash command so /launcher is available:

# macOS / Linux
mkdir -p ~/.claude/commands
cp .claude/commands/launcher.md ~/.claude/commands/

# Windows PowerShell
New-Item -ItemType Directory -Force -Path "$env:USERPROFILE\.claude\commands" | Out-Null
Copy-Item -Force .\.claude\commands\launcher.md "$env:USERPROFILE\.claude\commands\"

Verify the install — open Claude Code and run:

/skills

You should see the NORA skills (full-pipeline, lit-review, idea-discovery-pipeline, deploy-experiment, paper-draft, …) listed.

Step 4 — Start a research session

Open the night_owl_research_agent folder in Claude Code (this gives NORA access to CLAUDE.md, RESEARCH_PLAN.md, output/, memory/, and tools/), then pick one of the two entry points:

Option A — interactive launcher (best for first-time users):

/launcher