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agentic-research

Automate research workflows from literature review to paper submission using Python.

5|1|Updated Apr 7, 2026
Search Tags:#experiment design#research automation#AI research#academic writing#paper writing
One-click install
npx skills add https://github.com/Fzkuji/Research-Agent-Harness --skill agentic-research-fzkuji
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agentic-research
Source: https://github.com/Fzkuji/Research-Agent-Harness/tree/main
Command: npx skills add https://github.com/Fzkuji/Research-Agent-Harness --skill agentic-research-fzkuji

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the research process from topic exploration to final paper submission, using AI to assist with literature reviews, idea generation, experiment design, writing, and reviewing.

Core Features & Use Cases

  • Literature Review: Automatically identify relevant papers, summarize findings, and identify research gaps.
  • Idea Generation: Generate research ideas, check novelty, rank by promise, and refine direction.
  • Experiment Design: Design experiments, implement, run, monitor training, and plan ablations.
  • Writing: Write sections, polish, translate, compress/expand, generate figures, and compile LaTeX.
  • Review: Review papers, fix based on feedback, and run review-fix loops.
  • Use Case: Imagine you have a research topic and want to write a paper on it. Use this Skill to generate ideas, design experiments, conduct research, and write the paper with AI assistance.

Quick Start

Use the agentic-research skill to conduct research on the topic 'LLM uncertainty' and write a paper for NeurIPS.

Frequently Asked Questions about agentic-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate literature review and paper writing with AI?▼

AI research automation streamlines literature review and paper writing by automatically identifying relevant papers, summarizing findings, generating research ideas, and drafting sections. It orchestrates the entire workflow from topic exploration to final compilation.

Can I use AI to design experiments and run ablation studies?▼

AI can design experiments by planning and implementing setups, monitoring training runs, and structuring ablation studies. This automation helps systematically validate research hypotheses and identify optimal model configurations.

Do I need Python to set up an automated research workflow?▼

Python is required for research workflow orchestration and integration with external AI services. You use Python scripts to coordinate tasks like literature review, experiment design, and LaTeX compilation.

What is the best way to generate research ideas and check novelty?▼

The best way to generate research ideas and verify novelty is using AI research automation. It automatically generates hypotheses, evaluates them for uniqueness against existing literature, and ranks them by promise to refine your direction.

How does an AI research workflow handle academic paper review and revision?▼

AI research workflows handle paper review by running automated review-fix loops. The system reviews drafted sections, identifies issues based on feedback, fixes errors, and polishes the text for final submission.

Can AI compile LaTeX and generate figures for academic writing?▼

AI research automation supports academic writing by generating figures, polishing text, and compiling LaTeX documents. It manages the formatting and structural compilation needed for rigorous paper submission.

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