agent-orchestratorMeta-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
Install via ClawdBot CLI:
clawdbot install aatmaan1/agent-orchestratorGrade Excellent — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Feb 28, 2026
Decompose a request for a comprehensive market analysis into sub-tasks: data collection on competitors, trend analysis, report drafting, and quality review. Spawn specialized agents for each phase, coordinating them to produce a polished final report.
Orchestrate a software build by breaking it into modules: requirements gathering, coding, testing, and documentation. Generate agents for each module, using file-based communication to handle dependencies and consolidate code into a deployable product.
Handle a multi-channel marketing campaign by decomposing it into content ideation, creation, design, and scheduling tasks. Spawn agents to autonomously generate and review materials, ensuring consistency and timely delivery across platforms.
Manage a research project by splitting it into literature review, data analysis, writing, and peer review phases. Coordinate agents to gather sources, process data, draft sections, and refine the paper for publication.
Analyze supply chain inefficiencies by decomposing the task into data collection from logistics, performance modeling, risk assessment, and recommendation synthesis. Use agents to parallelize analysis and produce actionable insights.
Offer a cloud-based service where businesses submit complex tasks, and the orchestrator automatically decomposes them, deploys AI agents, and delivers results. Revenue comes from subscription tiers based on task complexity and agent usage.
Provide tailored solutions for enterprises to integrate the orchestrator into their workflows, such as for research or development projects. Revenue is generated through one-time setup fees, ongoing support contracts, and training sessions.
License the orchestrator technology to other software companies or agencies, allowing them to embed multi-agent capabilities into their own products. Revenue streams include licensing fees and royalties based on client usage.
💬 Integration Tip
Start with a small pilot project using 2-3 agents to validate the workflow, then scale up by refining agent templates and communication protocols based on initial results.
Scored Apr 15, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Give your AI agent eyes to see the entire internet. 7500+ GitHub stars. Search and read 14 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongS...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express...
Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when aske...