Can this skill route between Codanna and Morphllm?

Yes, one of its primary functions is evaluating whether to use Codanna or Morphllm depending on the specific needs of the code operation.

What is the Tool Selection skill for Claude Code?

It is a specialized capability that helps Claude decide which MCP tool to use for a specific task based on complexity, requirements, and performance trade-offs.

Does it override my specific tool requests?

No, the skill is designed to respect explicit user tool preferences and should only be triggered when a choice needs to be made by the AI.

How does the skill determine which tool is best?

It uses a structured workflow that parses requirements, loads reference patterns, and applies a scoring matrix to evaluate tools against accuracy and speed benchmarks.

MCP Tool Selection

Name: MCP Tool Selection
Author: NickCrew

byNickCrew

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생산성 및 워크플로

Optimizes task execution by intelligently selecting the most effective MCP tool based on complexity and accuracy requirements.

소개

This skill provides a structured decision-making framework for Claude to evaluate and route tasks to the most appropriate MCP tool. By analyzing performance trade-offs between tools like Codanna and Morphllm, it ensures that high-complexity tasks receive the necessary precision while simpler tasks are handled efficiently. It helps developers avoid suboptimal tool usage by providing clear rationale for every selection based on a scoring and decision matrix, improving overall workflow reliability and performance.

주요 기능

Dynamic routing based on task complexity
7 GitHub stars
Structured selection workflow for MCP tools
Performance trade-off analysis between speed and accuracy
Detailed decision rationale and confidence reporting
Customizable scoring and decision matrices

사용 사례

Choosing between Codanna and Morphllm for code generation
Generating selection rationale for audit and transparency
Automating tool routing in complex development workflows

소개

주요 기능

Dynamic routing based on task complexity
7 GitHub stars
Structured selection workflow for MCP tools
Performance trade-off analysis between speed and accuracy
Detailed decision rationale and confidence reporting
Customizable scoring and decision matrices

사용 사례

Choosing between Codanna and Morphllm for code generation
Generating selection rationale for audit and transparency
Automating tool routing in complex development workflows