multi-agent-orchestrator支持多Agent流水线编排（采集→分析→报告），基于DAG调度实现跨技能状态共享、错误重试、断点续传、执行报告生成、HTML甘特图可视化、人工审批节点、历史执行对比、硬件自适应参数和版本更新提醒。v5.0新增子流水线引用（模块化复用）和执行回放/Time Travel（快照机制）。AI即编排器，脚本提供基础设施。
Install via ClawdBot CLI:
clawdbot install brandon-zhanghaodong/multi-agent-orchestratorGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
Generate a team of specialized agents for developing an e-commerce platform, including roles like frontend developer, backend developer, and QA tester. Visualize their organizational structure and collaboration workflows to streamline project planning and communication.
Create agents to conduct market research for a new AI product, such as data analysts, trend forecasters, and competitor researchers. Use swimlane diagrams to map out data collection and analysis processes, enhancing decision-making efficiency.
Orchestrate agents for managing patient care in a hospital, including roles like triage nurse, doctor, and administrative staff. Visualize workflows to optimize patient flow and resource allocation, improving operational effectiveness.
Generate agents for managing investment portfolios, such as risk analysts, traders, and compliance officers. Diagram their interactions to monitor transactions and ensure regulatory adherence, supporting robust financial operations.
Create a team of agents to design online courses, including curriculum developers, multimedia specialists, and assessment coordinators. Visualize collaboration patterns to align content creation and delivery timelines.
Offer this skill as a cloud-based service with tiered pricing based on usage levels, such as number of agents generated or diagrams created. Target small to medium businesses for rapid prototyping and team visualization needs.
Provide custom implementation and training services for enterprises looking to integrate multi-agent systems into their workflows. Charge per project or hourly for setup, customization, and ongoing support.
Offer a free basic version with limited agents and diagrams, then upsell to premium features like advanced visualization options, API access, or priority support. Attract individual developers and startups initially.
💬 Integration Tip
Integrate this skill into existing project management tools by using the generated Mermaid files to embed diagrams directly into documentation or dashboards for real-time collaboration tracking.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.