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Mission Control

por0xindiebruh·0xindiebruh· v1.0.0 · atualizado em 2026-04-10
80
Score

Coordinate AI agent teams via a Kanban task board with local JSON storage. Enables multi-agent workflows with a Team Lead assigning work and Worker Agents executing tasks via heartbeat polling. Perfect for building AI agent command centers.

ai-agentstask-managementkanbanmulti-agent-workflowsagent-coordinationteam-collaboration
Linguagens
TypeScriptJavaScript
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Documento do Skill

SKILL.mdopenclaw-mission-control/workflow
1. Install the Mission Control Kanban board.
2. Configure the agent team in `lib/config.ts`.
3. Seed the database with agent configurations.
4. Configure OpenClaw multi-agent mode in `~/.openclaw/config.json`.
5. Set up agent heartbeats with task polling and completion logic.
6. Create tasks via the API, assigning them to specific agents.
7. Monitor task progress and agent activity on the Kanban board.
8. Approve completed tasks and manage deliverables.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

Uso por Plataforma

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Árvore do Skill

Mission Control
openclaw-mission-control
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.ACT
5.REFLECT
Triggers8
coordinate a team of AI agentsmanage AI agent tasks using a Kanban boardcreate a multi-agent workflowassign tasks to AI agentsmonitor AI agent progressbuild an AI agent command centerset up agent heartbeatscreate tasks for agents

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download openclaw-mission-control
$ synaptic skills detail openclaw-mission-control
$ synaptic skills live openclaw-mission-control

Dependências

npmcurl

Links

GitHub Repository