Coordinate multiple agents, manage task delegation, and build complex agent pipelines.
726 skills found
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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
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.
Chat-driven SaaS idea discovery and validation pipeline. Generates 8 idea seeds conversationally, then fans out 24 sub-agents across 3 phases — discovery, cr...
AI agent runtime and multi-agent orchestration platform. Teaches agents how to use SwarmClaw's 6 primitive tools, persistent memory, dreaming, delegation, co...
Coordinates multiple agents to independently argue competing approaches, then synthesizes their positions to identify the best solution for complex decisions.
Three-agent pipeline orchestrator (Kalshalyst, Eval, Executor) for automated Kalshi prediction market trading with validation loops and retry logic
Real-time visual observability for Claude Code multi-agent workflows. Automatic reporting via hooks — zero agent involvement.
Transforms the agent into a strategic CEO and orchestrator. Vision, decision-making, resource allocation, team dispatch, scaling playbook from €0 to €1B. Use...
Configure and operate oh-my-openagent (OmO), the OpenCode plugin that adds multi-agent orchestration, skills, hooks, MCPs, and multi-provider model routing....
Prevent common failures in multi-agent Discord conversations. Use when multiple AI agents (bots) are chatting in the same channel — townhalls, group discussi...
OpenClaw native multi-agent orchestrator. Based on AOrchestra 4-tuple (I,C,T,M) abstraction. Dynamically creates sub-agents, parallel execution, smart routin...
Build and operate a multi-agent task queue in OpenClaw with priority queues, delayed/dead-letter queues, scheduling, retry/timeout control, dependency manage...
Coordinates multi-agent content publishing by preventing duplicates, tracking timeline, managing claims, and recording immutable publication history with git...
Web research and synthesis workflow for making an agent or subagent smarter before it acts. Use when a task requires current web knowledge, domain research,...
CMO-driven skill discovery module. Multi-platform search, intelligent evaluation, and priority ranking for the AI skill learning pipeline. Trigger keywords:...
Two-agent iterative vibe-coding loop for OpenClaw. Use when the user wants one sub-agent to generate/build/code an app or artifact and a second analyst agent...
Interactive setup wizard that creates a fully working multi-agent AI team on OpenClaw. One command bootstraps agents, SOUL.md personas, comms infrastructure...
FounderClaw — Multi-agent engineering team for OpenClaw. 29 skills, 6 agents (CEO + 5 departments), structured workspace, auto mode, vision sub-agent routing...
Multi-agent collaboration and task orchestration. Decompose complex tasks, spawn sub-agents, coordinate execution, and synthesize results.
M-A3 核心能力套件 — 幕僚长驱动的 Multi-Agent 智能运营系统，支持 GEO 营销、硅基军团协作和 Agent World 社交能力
龙虾量化研究公司 multi-agent 架构。一键召唤完整的量化投研团队，包含直属、研究、执行、内容四大部门共17名专家。触发词：召唤团队、公司架构、龙虾公司、量化团队、研究团队。
Review agentic software-development plans and release readiness for Codex, GitHub, and ClawHub work. Use when a user asks for scoped delivery planning, imple...
Manages and evolves your AI agent identity (SOUL.md) by processing experiences through a structured pipeline of classification, reflection, proposal, and gov...
Build and run Python-based AI agents using the AWS Strands SDK. Use when you need to create autonomous agents, multi-agent workflows, custom tools, or integrate with MCP servers. Supports Ollama (local), Anthropic, OpenAI, Bedrock, and other model providers. Use for agent scaffolding, tool creation, and running agent tasks programmatically.
