FIB LAB, Tsinghua University
Official@tsinghua-fib-lab · Tsinghua University, Beijing, China
Tsinghua FIB Lab provides research-grade frameworks for academic manuscript generation, multi-agent social simulations, and structured data analysis in scientific environments.
Agent Skills by FIB LAB, Tsinghua University
Showing 30 vetted skills indexed across 1 GitHub repositories.
tsinghua-fib-labeasypaper-setup-environment
Automate EasyPaper environment setup with Python and LaTeX dependencies.
tsinghua-fib-labeasypaper-interactive-metadata-build
Generates interactive EasyPaper metadata from a research materials folder using Claude Code's file-investigation tools.
tsinghua-fib-labeasypaper-academic-writing-rules
Verify LaTeX-safe academic writing conventions and citation syntax in manuscripts.
tsinghua-fib-labeasypaper-paper-from-metadata
Generate academic papers as PDF files from metadata using the EasyPaper Python SDK.
tsinghua-fib-labeasypaper-venue-selection
Adjust EasyPaper generation parameters to match selected venue format specifications.
tsinghua-fib-labxlsx
Create, modify, and analyze Excel spreadsheets using pandas and openpyxl.
tsinghua-fib-labExtract text and structured data from PDF documents using pypdf and pdfplumber.
tsinghua-fib-labpptx
Create and edit PowerPoint presentations using templates and visual styling.
tsinghua-fib-labdocx
Create and edit Word documents with tables, images, and headers.
tsinghua-fib-labagentsociety-create-dataset
Create, validate, package, and submit datasets to the AgentSociety platform.
tsinghua-fib-labagentsociety-create-agent
Generate and configure custom agent classes for AgentSociety simulations.
tsinghua-fib-labagentsociety-create-env-module
Create and modify custom AgentSociety simulation environment modules.
tsinghua-fib-labagentsociety-use-dataset
Search, download, and inspect datasets via the AgentSociety platform API.
tsinghua-fib-labagentsociety-run-experiment
Start, monitor, and stop LLM-driven agent simulations with AgentSociety2.
tsinghua-fib-labagentsociety-hypothesis
Manage research hypotheses and experiment configurations for AgentSociety simulations.
tsinghua-fib-labagentsociety-experiment-config
Generate and validate AgentSociety2 experiment configuration files.
tsinghua-fib-labagentsociety-literature-search
Search academic literature across arXiv, CrossRef, and OpenAlex sources.
tsinghua-fib-labagentsociety-scan-modules
Scan AgentSociety2 workspaces to identify and validate agent classes and environment modules.
tsinghua-fib-labagentsociety-analysis
Analyze AgentSociety simulation data with Python and agentsociety2.
tsinghua-fib-labinteractive-viz
Create interactive charts and tables for AgentSociety simulation data.
tsinghua-fib-labscientific-visualization
Generate publication-quality charts for AgentSociety simulations with Okabe-Ito palettes.
tsinghua-fib-labfrontend-design
Apply predefined design elements to AgentSociety analysis reports.
tsinghua-fib-labreport-blocks
Generate AgentSociety reports with predefined HTML blocks and optional interactive charts.
tsinghua-fib-labagentsociety-research-pipeline
Manage multi-stage LLM agent research workflows in AgentSociety with scale planning and dataset management.
Frequently Asked Questions About FIB LAB, Tsinghua University
FAQPage SchemaWhat specific research tasks are enabled by these capabilities?▼
These capabilities enable the generation of academic papers from metadata, the execution of complex multi-agent social simulations, and the extraction of structured data from research documents. Users can manage entire research lifecycles, from literature searching across arXiv and CrossRef to visualizing simulation results with publication-quality charts.
Who is the target persona for these research frameworks?▼
The target personas are academic researchers, data scientists, and simulation engineers focused on social science modeling and computational research. These individuals require rigorous environments for managing experiment configurations, validating agent behaviors, and producing standardized academic outputs for peer-reviewed venues.
What are the primary dependencies for running these simulation environments?▼
Running these environments requires a local setup compatible with the AgentSociety2 framework and standard document processing libraries. Users must ensure their environment supports LaTeX for manuscript generation, as well as specific data processing libraries for handling Excel and PDF inputs during the research data preparation phase.