How does this skill prevent context saturation?

It employs context isolation principles, specialized contexts for individual agents, minimal data exchange protocols, and techniques like 'results-only' synthesis to keep the context window lean.

What is TodoWrite Attention Manipulation?

It is a strategy where objectives are constantly rewritten in the recent attention span (the end of the context) to prevent the LLM from losing track of the primary goal during long-running tasks.

When should I use the Hierarchical pattern instead of a Swarm?

Use the Hierarchical pattern when quality control is critical and the task requires multi-level decomposition with supervision gates. Use Swarm when speed and parallel processing of independent tasks are the priority.

What are the three main orchestration patterns supported?

The skill implements the Orchestrator pattern for task delegation, the Swarm pattern for parallel execution of independent tasks, and the Hierarchical pattern for multi-level supervision and quality control.

Multi-Agent Orchestration

Name: Multi-Agent Orchestration
Author: Git-Fg

byGit-Fg

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数据科学与机器学习

Implements advanced agentic patterns to prevent context saturation and optimize parallel execution within Claude Code environments.

关于

This skill provides a robust framework for designing and managing multi-agent systems using Orchestrator, Swarm, and Hierarchical patterns. It addresses the critical challenge of context isolation, preventing performance degradation caused by context saturation and the 'lost-in-middle' phenomenon. By implementing specialized contexts, minimal data exchange, and strategic attention management techniques like TodoWrite recitation, it enables users to scale complex tasks across multiple specialized agents while maintaining high precision and execution speed.

主要功能

1 GitHub stars
Attention management through TodoWrite objective recitation
Strategic context window monitoring and compression thresholds
Orchestrator, Swarm, and Hierarchical architectural patterns
Context isolation rules to prevent information cross-contamination
Mitigation strategies for context degradation (Lost-in-Middle, Poisoning)

使用场景

Managing large-scale data processing without hitting LLM context window limits
Scaling complex software development tasks across parallel specialized agents
Implementing high-stakes workflows requiring multi-level hierarchical supervision

关于

主要功能

1 GitHub stars
Attention management through TodoWrite objective recitation
Strategic context window monitoring and compression thresholds
Orchestrator, Swarm, and Hierarchical architectural patterns
Context isolation rules to prevent information cross-contamination
Mitigation strategies for context degradation (Lost-in-Middle, Poisoning)

使用场景

Managing large-scale data processing without hitting LLM context window limits
Scaling complex software development tasks across parallel specialized agents
Implementing high-stakes workflows requiring multi-level hierarchical supervision