Developer Collaboration Guidelines
When working with the Coot developer, focus on debugging and fixing issues, not workarounds
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When working with the Coot developer, focus on debugging and fixing issues, not workarounds
Create interactive inline Chart.js graphs directly in the chat from live Coot data. Use this skill whenever the user asks to plot, graph, chart, or visualise any per-residue data from Coot — B-factors, density correlations, Ramachandran probabilities, rotamer scores, or any other per-residue metr...
Best Practices for Model-Building Tools and Refinement
Using Density-Fit Correlations in Coot
Query the PDBe (Protein Data Bank in Europe) REST API and Solr search API from within Coot to access structure metadata, validation data, revision history, search capabilities, and download coordinate files
Best practices for creating publication-quality molecular graphics figures in Coot using user-defined colors, ribbons, and molecular representations
NCS Reference Guidance
Comprehensive structure validation combining model-to-map analysis and unmodeled density detection
RDKit molecular manipulation and visualization within Coot's Python environment. Use when working with Coot and need to (1) Create RDKit molecules from Coot monomers, (2) Modify molecular structures (e.g., atom substitution), (3) Generate 2D chemical structure diagrams, (4) Perform cheminformatic...
API documentation to be loaded at startup - when starting a Coot session, immediately call get_function_descriptions() with the functions listed in this skill.
Best Practices for using Coot MCP
Best practices for protein structure refinement and validation in Coot. Use when performing (1) Residue refinement operations, (2) Model building and fitting, (3) Rotamer fixing, (4) Scripted/automated refinement workflows, (5) Validation and correlation checking.
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