coot-best-practices

Consolidate best practices for using Coot's MCP API in automated workflows.

166|59|Updated Aug 24, 2015
One-click install
npx skills add https://github.com/pemsley/coot --skill coot-best-practices
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coot-best-practices
Source: https://github.com/pemsley/coot/tree/main/mcp/docs/skills/best-practices
Command: npx skills add https://github.com/pemsley/coot --skill coot-best-practices

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill consolidates best practices for using Coot's MCP API to improve reliability, performance, and correct usage.

Core Features & Use Cases

  • Startup guidance and API-discovery patterns for loading essential MCP docs
  • Clear rules on preferring coot.*_py() direct calls over wrappers like coot_utils for performance
  • Decision patterns for when wrappers add value and how to structure robust model-building and validation tasks

Quick Start

Begin by applying the MCP usage guidelines to your scripts: prefer direct C++ bindings for single operations (e.g., coot.closest_atom_py(0)), avoid unnecessary coot_utils indirection, and consult the startup guidance to load essential API descriptions before running analyses.

Frequently Asked Questions about coot-best-practices

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I improve Coot MCP API reliability and performance in automated workflows?

Apply best practices for Coot MCP API usage by preferring direct C++ bindings like coot.closest_atom_py() over coot_utils wrappers for single operations, improving reliability and performance in automated workflows.

What is the best way to use Coot MCP API direct calls instead of wrappers?

The best way to use Coot MCP API direct calls is to prefer coot.*_py() direct C++ bindings like coot.closest_atom_py(0) over wrapper indirection for single operations, reserving wrappers for cases where they add structural value to model-building tasks.

How do I load essential API descriptions before running Coot MCP analyses?

Load essential API descriptions before running Coot MCP analyses by following the startup guidance and API-discovery patterns, which ensure correct metadata requirements and safety considerations are established for your automated workflows.

When should I use coot_utils wrappers versus direct C++ function calls in Coot?

Use direct C++ function calls like coot.*_py() for single operations to maximize performance, and apply coot_utils wrappers only when they add structural value for robust model-building and validation tasks, following established decision patterns.

What metadata is required for a SKILL.md frontmatter using the Coot MCP API?

The Coot MCP API best practices specify metadata requirements for a SKILL.md frontmatter and optional resource directories, ensuring proper documentation and safety considerations are met for automated model-building workflows.