How do I check the progress of an orchestrated task?

You can use the 'task_status' action with a specific task ID or 'list' to see all active agents and their current operational status.

How does MageAgent differ from standard Claude prompting?

MageAgent allows Claude to spawn and coordinate multiple specialized sub-agents that work in parallel or iteratively on specific components of a larger objective.

Does this skill integrate with external data?

Yes, it includes advanced synthesis capabilities and can leverage memory context from GraphRAG for grounded, data-driven insights.

Can I control the number of agents spawned for a task?

Yes, you can specify parameters like 'max_agents' or 'competitor_count' to manage resources and the depth of the analysis.

What is competitive problem-solving in this context?

It is a mode where multiple agents solve the same challenge independently, and their results are ranked based on your specific evaluation criteria to find the best approach.

Agent Orchestration (MageAgent)

Name: Agent Orchestration (MageAgent)
Author: adverant

byadverant

0•

데이터 과학 및 ML

Coordinates multiple specialized AI agents to solve complex tasks through collaborative, competitive, and analytical workflows.

The Agent Orchestration skill transforms Claude into a centralized command hub using the Nexus MageAgent engine, enabling the coordination of multiple autonomous sub-agents for sophisticated problem-solving. By spawning specialized agents for research, coding, and peer review, it handles complex objectives that require diverse perspectives or deep analysis beyond a single model's scope. This skill is ideal for information synthesis, competitive logic ranking, and large-scale task execution where agents must share context and iterate toward a high-quality solution.

주요 기능

01Collaborative problem-solving through iterative context sharing

02Real-time task monitoring and agent lifecycle management

03Multi-agent task orchestration with specialized roles

04Deep information synthesis from multiple heterogeneous sources

05Competitive logic execution for ranking optimal solutions

060 GitHub stars

사용 사례

01Synthesizing large volumes of documentation or external data sources into cohesive reports and strategic recommendations.

02Executing complex software engineering projects that require simultaneous research, implementation, and peer review agents.

03Comparing multiple technical approaches to a problem to identify the most efficient solution through competitive ranking.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adverant/adverant-nexus-cowork-plugin agent-orchestration

For use in Claude.ai and ChatGPT

주요 기능

01Collaborative problem-solving through iterative context sharing

02Real-time task monitoring and agent lifecycle management

03Multi-agent task orchestration with specialized roles

04Deep information synthesis from multiple heterogeneous sources

05Competitive logic execution for ranking optimal solutions

060 GitHub stars

사용 사례

01Synthesizing large volumes of documentation or external data sources into cohesive reports and strategic recommendations.

02Executing complex software engineering projects that require simultaneous research, implementation, and peer review agents.

03Comparing multiple technical approaches to a problem to identify the most efficient solution through competitive ranking.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adverant/adverant-nexus-cowork-plugin agent-orchestration

For use in Claude.ai and ChatGPT