academic-figure-engine
CommunityPublish publication-ready figures with provenance.
Education & Research#quality-assurance#data-visualization#data-provenance#journal-compliance#figure-generation#publication-graphics#biomedical-figures
AuthorTerryFYL
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This engine automates the generation of publication-grade figures from raw analysis results while enforcing traceable data provenance, reducing manual plotting errors, and ensuring compliance with journal guidelines.
Core Features & Use Cases
- Automated rendering of common figure types (Kaplan-Meier curves, forest plots, heatmaps, box plots, scatter plots, radar charts, tables) powered by a five-layer quality framework that includes data truth, standardization, verification, manuscript synchronization, and visual refinement.
- Output in publication-ready formats (PNG, PDF, TIFF) with per-figure data sources and reproducible pipelines, plus verification reports suitable for manuscript submission.
- Use Case: A biomedical research team analyzes a clinical dataset, automatically generates a complete figure suite, and obtains a delivery package aligned with journal requirements.
Quick Start
Start by providing your analysis results and instruct the engine to generate publication-ready figures.
Dependency Matrix
Required Modules
matplotlib
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: academic-figure-engine Download link: https://github.com/TerryFYL/ai-research-army/archive/main.zip#academic-figure-engine Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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