w6-research

Automate academic literature search and extract structured JSON notes.

1|Updated Apr 8, 2026

Search Tags:#research #academic #science #synthesis #literature review #knowledge extraction

Ready to run

npx skills add https://github.com/ExuberantWitness/Flux-Insight --skill w6-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: w6-research
Source: https://github.com/ExuberantWitness/Flux-Insight/tree/main/skills/w6-research
Command: npx skills add https://github.com/ExuberantWitness/Flux-Insight --skill w6-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of information overload in scientific research by automating the discovery, extraction, and synthesis of the latest academic literature.

Core Features & Use Cases

Systematic Literature Search: Automatically identifies recent methods, theoretical breakthroughs, and SOTA benchmarks for a given research topic.
Structured Knowledge Extraction: Converts unstructured papers into structured JSON notes, highlighting contributions and research gaps.
Use Case: When starting a new project, use this Skill to generate a comprehensive research landscape report that identifies key papers and differentiates your proposed work from existing baselines.

Quick Start

Use the w6-research skill to conduct a literature review on the topic of transformer-based time series forecasting within the current workspace.

Frequently Asked Questions about w6-research

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

FAQPage Schema

How do I automate a systematic literature review for academic research?▼

Automating a systematic literature review involves using search APIs to discover recent academic papers, extracting structured knowledge like contributions and research gaps, and generating a JSON output to map the research landscape. This process identifies methodological breakthroughs and SOTA benchmarks.

What is structured knowledge extraction from scientific papers?▼

Structured knowledge extraction converts unstructured academic papers into structured JSON notes. It highlights key contributions, methodological breakthroughs, and research gaps to facilitate knowledge graph population and rapid synthesis of recent scientific literature.

Can I map the competitive research landscape using automated literature search?▼

Yes, automated literature search identifies SOTA benchmarks and theoretical breakthroughs for a given topic. It generates a comprehensive research landscape report that differentiates your proposed work from existing baselines by highlighting specific research gaps.

Does automated literature synthesis require integration with search APIs?▼

Yes, integration with search APIs is required to automate the systematic search of academic literature. This integration enables the rapid discovery and structured analysis of recent papers to identify research frontiers and methodological breakthroughs.

How do I generate a research landscape report from unstructured papers?▼

Generating a research landscape report involves converting unstructured papers into structured JSON notes. This automated synthesis identifies key papers, highlights contributions, and differentiates your proposed work from existing baselines to solve information overload.