code-execution-patterns

Write agent code that calls MCP tools efficiently with retries and fallbacks.

Updated Feb 13, 2026
One-click install
npx skills add https://github.com/bmcgauley/SKILLs --skill code-execution-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-execution-patterns
Source: https://github.com/bmcgauley/SKILLs/tree/main/code-execution-patterns-skill
Command: npx skills add https://github.com/bmcgauley/SKILLs --skill code-execution-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill teaches agents how to write effective code that uses MCP (Model Context Protocol) tools efficiently, drastically reducing token usage and enabling complex data processing.

Core Features & Use Cases

  • Data Management: Keep large data outside the context window using resource URIs.
  • Tool Composition: Chain multiple MCP calls into robust pipelines.
  • Error Handling: Implement resilient code with retries and fallbacks.
  • Performance Optimization: Minimize token usage and execution time.
  • Use Case: When building an agent that needs to scrape websites, process large files, or handle sensitive data, use this Skill to ensure efficient and secure operation.

Quick Start

Use the code-execution-patterns skill to learn how to write agent code that calls MCP tools efficiently.

Frequently Asked Questions about code-execution-patterns

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

FAQPage Schema
How do I reduce token usage when writing agent code that calls MCP tools?

To reduce token usage in agent code, use resource URIs to keep large data outside the context window and apply performance optimization patterns to maximize execution efficiency.

What is the best way to handle errors in agent code using Model Context Protocol tools?

The best way to handle errors in agent code is to implement resilient patterns with retries and fallbacks, ensuring robust pipelines when chaining multiple MCP calls together.

How do I chain multiple MCP calls together for complex data processing?

You can chain multiple MCP calls into robust pipelines by applying tool composition patterns, which allow agents to process large files or scrape websites efficiently while managing data securely.

Can I use resource URIs to manage large data outside the context window in MCP agent code?

Yes, you can use resource URIs for data management to keep large data outside the context window, drastically reducing token usage while enabling complex data processing operations.

When do I need to use specific code execution patterns for Model Context Protocol agents?

You need these code execution patterns when building an agent that must scrape websites, process large files, or handle sensitive data, ensuring efficient and secure operation with MCPs.

Why does my agent code fail when processing large files with MCP tools?

Agent code often fails processing large files due to context window limits and missing error handling; using resource URIs and resilient retry patterns resolves these execution bottlenecks.