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.
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.
Real-time visual observability for Claude Code multi-agent workflows. Automatic reporting via hooks — zero agent involvement.
Quick install — most popular multi-agent orchestration skill:
clawdbot install pskoett/self-improving-agent1,631 skills found
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Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Stop waiting for prompts. Keep working.
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.
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.
Facilitates transparent, ethical coordination and verified labor to advance humanity toward a sustainable Kardashev Type 1 civilization.
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.
Search, download, and summarize academic papers from arXiv. Built for AI/ML researchers.
Acts as the user's goal-setting and accountability partner in the Goals topic. Tracks life goals, milestones, progress, deadlines. Use when in Personal chat...
自研三层记忆恢复系统。解决session重启后"忘记一切"的问题，提供永久记忆、今日记忆、临时记忆的完整架构。
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...
AI写作助手 Premium | 智能写作、改写、润色。支持10种写作风格，AI查重，SEO优化。
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".
AI旅游规划助手 - 智能行程规划、景点推荐、预算计算、旅行攻略
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...
Write-Ahead Log protocol for agent state persistence. Prevents losing corrections, decisions, and context during conversation compaction. Use when: (1) recei...
Stealth-first browser automation for OpenClaw using agent-browser-stealth. Use when tasks involve bot-protected websites, anti-fingerprint evasion, captcha-p...
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.
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.