Coordinate multiple specialized AI agents, build autonomous pipelines, and manage complex multi-step workflows.
Build systems where AI agents collaborate — an orchestrator agent breaks down goals, delegates to specialist sub-agents, and synthesizes results. These skills cover task decomposition, agent communication protocols, parallel execution, and self-improving agent loops.
Coordinate multiple agents, manage task delegation, and build complex agent pipelines.
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.
AI agent runtime and multi-agent orchestration platform. Teaches agents how to use SwarmClaw's 6 primitive tools, persistent memory, dreaming, delegation, co...
Consult Nexora when a task needs several external capabilities, a composed workflow, verification, or orchestrated execution. One objective, one payment, a verified result.
Coordinates multiple agents to independently argue competing approaches, then synthesizes their positions to identify the best solution for complex decisions.
WorldLines scenario creation and revision with clear multi-agent dialogue, validation, and real-model playtesting.
Quick install — most popular multi-agent orchestration skill:
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Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
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.
The directory for AI agent services. Discover tools, platforms, and infrastructure built for agents.
Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.
task-decomposerDecomposes complex user requests into executable subtasks, identifies required capabilities, searches for existing skills at skills.sh, and creates new skills when no solution exists. This skill should be used when the user submits a complex multi-step request, wants to automate workflows, or needs help breaking down large tasks into manageable pieces.
Safely improve agent capabilities with structured verification, rollback, and promotion gating. Enhances existing evolution workflows with optional Settlemen...
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.
Audit your AI agent setup for performance, cost, and ROI. Scans OpenClaw config, cron jobs, session history, and model usage to find waste and recommend opti...
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Run ClawHub skill release workflows with clear safety gates. Use for publish, inspect, update, sync, and failure recovery with command-first steps, explicit...
Deterministically coordinates autonomous planning and execution across available skills under strict guardrails. Use only when the user explicitly activates this skill by name to run autonomously until a stop command is issued. Trigger keywords include: "use autonomous-skill-orchestrator", "activate autonomous-skill-orchestrator", "start autonomous orchestration".
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Tiered stranger access control for AI agents. Use when setting up contact permissions, handling unknown senders, managing approved contacts, or configuring s...
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...
Stealth-first browser automation for OpenClaw using agent-browser-stealth. Use when tasks involve bot-protected websites, anti-fingerprint evasion, captcha-p...
Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) recei...
Build high-performing OpenClaw agents end-to-end. Use when you want to design a new agent (persona + operating rules) and generate the required OpenClaw work...
Transform OpenClaw cron jobs into Lobster workflows. Analyze, inspect, and validate job migrations. Use when converting automations to deterministic, approval-gated workflows with resume capabilities.
Master Claude Code for coding tasks. Includes setup scripts, dev team subagents (starter pack or full team), self-improving learning system, diagnostics, and troubleshooting.
Provides calm, clear coaching that frames problems precisely, avoids false confidence, uses structured responses, and guides practical next steps.
Generic rebrand pipeline. Deterministic, idempotent, byte-to-byte. Strip jargon, fix paths, regenerate manifests, validate. Use when preparing internal code...
Manage the lifecycle of autonomous agents and their skills. Version configurations, plan upgrades, track retirement, and maintain change history across agent...
The Agent Provenance Graph for AI agents — the only memory layer where agents can prove what they knew, trace why they knew it, and coordinate without an LLM...
Multi-agent orchestration is when one "orchestrator" agent breaks a complex goal into subtasks and delegates each to specialized sub-agents — enabling parallel processing and modular capability composition.
Single-agent workflows execute sequentially. Multi-agent systems can run tasks in parallel, use specialized agents for different domains (web search, code writing, data analysis), and recover from individual agent failures.