GRIND-Lab-CoreOfficial·22 Agent Skills Included

night_owl_research_agent

Automated geoscience research from literature review to submission-ready paper

Automates the full academic research lifecycle for geoscience, remote sensing, and GIScience work. Searches literature, generates and validates novel ideas, runs experiments on local or remote GPUs, and drafts journal-ready manuscripts. Eliminates manual paper hunting, experiment tracking, and repetitive review cycles with adversarial scoring loops. Produces submission packages in LaTeX, PDF, and DOCX matched to target journal requirements.

100|24

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npx skills add GRIND-Lab-Core/night_owl_research_agent --all -g -y

Available:

Instructs the agent on pipeline status tracking, control flags, session recovery via handoff files, skill routing order, scoring rules, and prohibited behaviors when running the research workflow.

All Skills in This Repository (22)

Pure Emerald Level Indicators

📦 In Repo

GRIND-Lab-Core

data-download

Discover, evaluate, and download public datasets with integrity validation.

paper-draft

Generate Markdown manuscript drafts from research plans and evidence.

training-check

Monitor spatial experiments and classify statuses as OK, STALLED, FAILED, or COMPLETE.

full-pipeline

Orchestrate research pipelines from idea discovery to report generation.

research-review

Review research papers and experimental results through iterative dialogue.

submit-check

Validate scientific manuscripts against journal guidelines and geospatial reporting standards.

idea-discovery-pipeline

Automates generation, validation, and refinement of research ideas from literature gaps for geoscience, remote sensing, and GIS researchers.

deploy-experiment

Automate deployment, execution, and results management of machine learning and spatial data science experiments.

experiment-design

Design claim-driven experiment roadmaps for GIScience and remote sensing proposals.

spatial-analysis

Guide spatial analysis method selection, diagnostics, and reporting with Python.

experiment-design-pipeline

Orchestrate a multi-step research method refinement and experiment planning workflow.

generate-idea

Generate, filter, and rank research ideas with literature review and pilot experiments.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install night_owl_research_agent?▼

Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --all -g -y` in your terminal to install all skills globally.

What does NORA automate for researchers?▼

It automates literature review, idea generation, novelty checking, experiment design and execution, adversarial review, and paper writing through to a submission-ready PDF and DOCX package.

Who is this research pipeline built for?▼

It targets geoscientists, remote sensing researchers, and GIScientists, with journal templates for venues like IJGIS, IEEE TGRS, ISPRS JPRS, and RSE.

Does it run experiments on my local GPU?▼

Yes. It checks for a local CUDA or Apple MPS GPU first and runs all machine learning experiments on it, falling back to remote or Modal GPU only when no local GPU exists.

Can I use it without coding experience?▼

Yes. You describe your research direction in plain English and the skills handle literature search, experiments, and manuscript drafting automatically.