GL

grind-lab-core/night_owl_research_agent

开发工具

本页由 AI 翻译,技术细节请以原文为准。 查看原文

108 stars 质量 60 趋势 19

grind-lab-core/night_owl_research_agent 是从 https://github.com/grind-lab-core/night_owl_research_agent. 导入的特工技能候选

概览

grind-lab-core/night_owl_research_agent 是从 https://github.com/grind-lab-core/night_owl_research_agent. 导入的特工技能候选

概述(AI 翻译)

一款全自动、域感知的人工智能研究代理,面向地球科学家、遥感研究人员和地理信息科学专家——完全依靠Claude代码技能驱动。


快速启动

NORA 运行在 Claude Code 内部。没有 Python 入口,没有服务器可启动,也没有构建步骤——你只需把技能放进 Claude Code 的技能目录,然后调用启动器。

步骤1 — 安装Claude代码

先安装Claude代码。任何官方发行版都可正常使用:

  • CLI(推荐使用):

  • 桌面应用(macOS / Windows):可从

  • VS Code 扩展:从市场安装“Claude Code”

  • Web:

用你的Anthropic账户登录一次,这样Claude Code就能访问API。

第二步 — 把NORA接到你的机器上

第三步 — 将技能安装到Claude代码中

Claude Code 会在 ~/.claude/skills/(用户层,每个项目都能用)或 /.claude/skills/(项目本地)下寻找技能。将整个 skills/ 文件夹从本仓库复制到这些位置之一。

macOS / Linux(用户级——推荐):

Windows PowerShell(用户级):

Windows Bash / Git Bash:

本页由 AI 翻译,技术细节请以原文为准。

README

以下为原文 README 节选,完整内容请查看原文。

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.


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
在 GitHub 查看完整 README

推荐工具

换一个关键词,或者移除筛选条件。

安装

npx skillfish add grind-lab-core/night_owl_research_agent
新手?先看 mcpskill.org 教程 →