Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
WHAT YOU BECOME
Perfect for these scenarios
Structure files with parent-child relationships for better data management
Generate reports with hierarchical categories for detailed analysis
Visualize complex systems with nested components and dependencies
Build organized documentation with multi-level topic hierarchies
MEASURED GAIN
Proven benefits and measurable impact
Locate files quicker with intuitive nested directory navigation
Reduce confusion with clear hierarchical file relationships
Minimize redundant files with organized nested structures
WHAT YOU GET
Files, tags and the three-step install
Tip: Read the documentation and the code before first use, so you know what it does and which permissions it needs.
NEXT SCRIPTS
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Generate and maintain AGENTS.md files following the public agents.md convention. Use when creating documentation for AI agent workflows, onboarding guides, or when standardizing agent interaction patterns across projects.
Access AlphaFold's 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.