claw-orchestraOpenClaw native multi-agent orchestrator. Based on AOrchestra 4-tuple (I,C,T,M) abstraction. Dynamically creates sub-agents, parallel execution, smart routin...
Install via ClawdBot CLI:
clawdbot install zcyynl/claw-orchestraGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/zcyynl/claw-orchestraUses known external API (expected, informational)
discord.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Automates parallel web searches and data collection on competitors, market trends, and consumer insights across multiple agents. Ideal for generating comprehensive reports quickly without manual intervention.
Dynamically splits research tasks into sub-agents to fetch and analyze academic papers, technical frameworks, and industry reports in parallel. Speeds up literature synthesis for researchers and students.
Coordinates agents to simultaneously investigate user feedback, technical specifications, and competitor features. Enables rapid prototyping and decision-making for product teams.
Uses multiple agents to gather trending topics, perform keyword research, and analyze competitor content in parallel. Supports content marketers in producing optimized articles efficiently.
Deploys sub-agents to search documentation, forums, and error logs concurrently for diagnosing issues. Reduces resolution time for IT teams and help desks.
Offers tiered plans based on usage limits, such as tokens per month or number of parallel agents. Targets businesses needing regular multi-agent orchestration for tasks like research and analysis.
Charges based on actual consumption metrics like tokens processed or agent executions. Suitable for developers and enterprises with fluctuating demands who prefer flexible pricing.
Provides custom deployments with advanced features like enhanced security, dedicated support, and integration with internal systems. Aimed at large organizations requiring high-volume, secure orchestration.
💬 Integration Tip
Ensure backend systems support parallel session spawning and result polling to leverage the orchestration's full efficiency.
Scored Jun 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.