What models can I delegate tasks to?

The core framework is designed to work with various external services, specifically offering optimized workflows for Google Gemini and Alibaba Qwen.

What is the primary purpose of Delegation Core?

It is a framework designed to help Claude decide when and how to delegate specific sub-tasks to external LLMs to save context and manage costs effectively.

Does Claude lose control of the code during delegation?

No. The core philosophy is to delegate execution but retain reasoning; Claude reviews and validates all results before they are integrated into the main project.

How does it handle API quotas and costs?

Delegation Core integrates with the Leyline infrastructure to track service quotas, manage authentication, and estimate costs before a task is delegated.

When should I choose delegation over local execution?

Delegation is recommended for low-complexity but high-context tasks, such as bulk data processing or summarizing large files that would exceed Claude's local context limits.

LLM Task Delegation Core

Name: LLM Task Delegation Core
Author: athola

byathola

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Ciencia de Datos y ML

Orchestrates task delegation to external LLM services by offloading high-token execution while maintaining central reasoning within Claude.

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The Delegation Core framework provides a structured methodology for routing tasks to external LLM services like Gemini and Qwen, ensuring Claude remains the primary architect while secondary models handle token-heavy processing. It utilizes the Leyline infrastructure to manage service quotas, log usage patterns, and provide unified error handling across different providers. By employing a standardized decision matrix for task assessment and validation workflows, this skill allows developers to optimize for cost and context limits without sacrificing code quality or strategic oversight.

Características Principales

Standardized handoff planning templates
10 GitHub stars
Complexity-based task assessment matrix
Post-execution result validation workflows
Seamless integration with Gemini and Qwen models
Automated service quota and usage tracking

Casos de Uso

Processing large datasets or context-heavy documentation
Cost-optimizing batch operations using external model characteristics
Generating repetitive boilerplate code or pattern-based extraction

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Características Principales

Standardized handoff planning templates
10 GitHub stars
Complexity-based task assessment matrix
Post-execution result validation workflows
Seamless integration with Gemini and Qwen models
Automated service quota and usage tracking

Casos de Uso

Processing large datasets or context-heavy documentation
Cost-optimizing batch operations using external model characteristics
Generating repetitive boilerplate code or pattern-based extraction