@fanhy-tvt/literature-survey-dashboard
v1.0.7
Published
An autonomous AI agent skill that reads PDF papers, generates structured summaries, and compiles an interactive HTML comparison dashboard.
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Literature Survey & Dashboard Generator Skill
简体中文 | English
An autonomous AI agent skill that automates the entire workflow of academic paper surveying: extracting text from local PDFs, generating structured summaries, extending the search via the web, and compiling everything into an interactive HTML dashboard for easy comparison.
Features
- 📄 PDF Extraction: Automatically reads and extracts text from local PDF papers.
- 🤖 AI Summarization: Generates structured summaries including Motivation, Method, Results, and Relevance to your specific research.
- 🌐 Web Extension: Automatically searches the web for recent, related papers to expand your survey.
- 📊 Interactive Dashboard: Compiles all summaries into a searchable, filterable HTML comparison matrix.
- 🌍 Multi-Language Support: Fully supports English, Simplified Chinese, Traditional Chinese, and Japanese.
Directory Structure
SKILL.md: The core prompt and instruction file for the AI agent.scripts/extract_pdfs.py: Python script for extracting text from PDFs.scripts/generate_dashboard.py: Python script for generating the interactive HTML dashboard.templates/: Markdown templates for structured paper summaries in multiple languages.
Installation
You can install this skill into your AI Agent's workspace using one of the following methods:
Method 1: Using npx (Recommended)
You can directly run the interactive installer using npm:
npx @fanhy-tvt/literature-survey-dashboardThe installer will interactively guide you to choose the installation location (Current Project or System Home Directory) and the target agent folder (e.g., .trae, .agents, .claude, etc.).
Method 2: Git Clone
Clone this repository directly into your agent's skills folder:
cd /path/to/your/project/.trae/skills
git clone https://github.com/fanhy-TvT/literature-survey-dashboard.gitHow to Use
- After installation, prompt your AI Agent: "Use the literature-survey-dashboard skill to analyze the papers in
./papersfor my research on [Your Topic]." - The agent will autonomously execute the scripts, generate summaries, and present the final HTML dashboard.
License
This project is licensed under the MIT License.
