Create and manage multi-agent swarms with inter-agent messaging and task distribution.
npx skills add https://github.com/mshuffett/dotfiles --skill agent-teams-mshuffett
Please help me install this Agent Skill. Skill: agent-teams Source: https://github.com/mshuffett/dotfiles/tree/main/agents/skills/agent-teams Command: npx skills add https://github.com/mshuffett/dotfiles --skill agent-teams-mshuffett
This Skill enables the creation and management of multi-agent systems (swarms) for complex, parallelizable tasks that require inter-agent communication and coordination.
Use the agent-teams skill to create a new team named 'code-refactor' to refactor the codebase.
High-intent search queries and answers about installing and using this skill.
Multi-agent coordination uses a swarm-based approach to manage parallel task execution, enabling specialized agents to communicate via message passing and distribute workloads dynamically. This allows collaborative problem-solving for complex, parallelizable tasks.
Inter-agent communication uses message passing and protocol requests via SendMessage to facilitate coordination between agents. This messaging protocol allows agents to share findings, request actions, and synchronize their efforts during complex task execution.
Multi-agent orchestration is needed for complex, parallelizable tasks that require collaborative problem-solving and dynamic interaction. You should use a swarm approach when a single agent cannot efficiently handle the scale or specialized modules of the work.
Yes, you can orchestrate a team of agents to collectively refactor a large codebase. Agents can specialize in different modules, communicate their findings through message passing, and coordinate their changes to complete the parallel task execution.
Task distribution and monitoring across an agent team are handled using Task tools. This allows you to assign specific workloads to agents, track their progress, verify task completion, and perform resource cleanup after the complex execution finishes.
lxt070409Orchestrates Kanban-based work distribution across multiple AI agents via automated task graphs and anti-temptation rules.
valkryhxOrchestrates multiple Worker agents for distributed task execution with batch dispatching.
William2333ZZLists available agents and sends messages to specific agent sessions for task delegation.
cloudfieldczOrchestrate tasks with fresh subagents and automated two-stage reviews within one session.
