AgentsMédio

Mission Control

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

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

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

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

npm curl

Links

GitHub Repository