Does this skill support large file processing?

Yes, it is specifically triggered for files larger than 50KB to ensure that large-scale data ingestion doesn't crash the active session context.

When should I use the MCP Code Execution skill?

You should activate this skill when chaining more than three tools sequentially, processing datasets larger than 10,000 rows, or when your context window usage exceeds 25%.

What is MECW compliance?

MECW stands for Managed Execution Context Window. This skill enforces a 50% context rule globally to prevent model hallucinations and ensure stable performance during complex tasks.

How does it improve token efficiency?

It transforms 'tool-heavy' workflows into optimized code execution patterns, which reduces the overhead caused by repetitive tool descriptions and status updates, maintaining over 80% savings.

MCP Code Execution Hub

Name: MCP Code Execution Hub
Author: Ven0m0

byVen0m0

生産性とワークフロー

Transforms complex tool chains and large datasets into optimized MCP execution patterns to minimize token usage and prevent context overflow.

概要

The MCP Code Execution skill for Claude Code is designed to proactively manage and optimize high-complexity workflows involving sequential tool chaining, large-scale data processing, and heavy context pressure. By implementing Model Context Protocol (MCP) patterns and subagent orchestration, it converts resource-intensive operations into efficient code execution blocks, ensuring strict compliance with context window limits while providing a significant reduction in token overhead. This skill is essential for developers working with datasets exceeding 10,000 rows or complex pipelines that would otherwise exceed Claude's native tool-calling capacity.

主な機能

0 GitHub stars
Automated workflow classification for optimal execution strategies
Emergency protocols for context limit recovery and risk assessment
MECW (Managed Execution Context Window) compliance monitoring
Cross-module orchestration for complex tool-heavy pipelines
Proactive token conservation for large files and datasets

ユースケース

Orchestrating complex pipelines with more than three sequential tool dependencies
Managing long-running code execution tasks with aggressive token-saving requirements
Processing massive datasets exceeding 10,000 rows without exhausting context

概要

主な機能

0 GitHub stars
Automated workflow classification for optimal execution strategies
Emergency protocols for context limit recovery and risk assessment
MECW (Managed Execution Context Window) compliance monitoring
Cross-module orchestration for complex tool-heavy pipelines
Proactive token conservation for large files and datasets

ユースケース

Orchestrating complex pipelines with more than three sequential tool dependencies
Managing long-running code execution tasks with aggressive token-saving requirements
Processing massive datasets exceeding 10,000 rows without exhausting context