Multi-agent swarm management for Claude Code
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin team-overlord in Und3rf10w/claude-litter. Commands read from the repo's manifest — 4 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
Team ManagementThis skill should be used when the user asks to "manage teams", "create a team", "create a task", "assign a task", "send a message to an agent", "list teams", "check tasks", "broadcast to team", "read inbox", "update task status", or any team/task/agent/message management operation.
/team-overlord:broadcastBroadcast message to all agents in a team
/team-overlord:msgSend a message to an agent
/team-overlord:taskList and manage tasks
/team-overlord:teamList and manage teams
team-overlordruns: python3 ${CLAUDE_PLUGIN_ROOT}/servers/team_tools.py
Two-mode deep-work tool: DESIGN mode produces an approved plan via a 5-archetype oppositional team (Falsifier/Coverage/Mechanism/Reframer/Critic); EXECUTE mode implements that plan gate-by-gate with hook-enforced citation, test-evidence, and reversibility gates.
11 skills · hooks
Design, execute and fanout runs as Claude Code workflows, with a mod that records every step, runs verify itself and lands only verified trees
7 skills · hooks
Orchestrated multi-agent loops with profile-based modes. Default: persistent Teams for complex implementation. Leanswarm: lean 4-concern variant of default for capable models. Deepplan: multi-agent planning with explore/synthesize/critique/deliver. Async: background agent orchestration for independent parallel tasks. Decomposes complex tasks into parallel subtasks, spawns agent teams, tracks progress via native TaskCreate/TaskList, and dynamically re-plans each iteration until verified completion.
7 skills · hooks
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
6 skills · 7 commands · 4 agents
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
8 skills · 1 agent · hooks
Agent coordination and meta-programming - multi-agent orchestration, workflow automation, and safe refactor governance. Works best with other voltagent plugins installed.
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