openclaw-multi-agent-wizardGuide beginners through OpenClaw multi-agent setup with a step-by-step wizard. Use when the user wants to create OpenClaw multi-agent setups, says things lik...
Install via ClawdBot CLI:
clawdbot install majiabin2020/openclaw-multi-agent-wizardGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 23, 2026
Set up multiple Feishu bots, each paired with a dedicated OpenClaw agent for handling customer inquiries in different languages or regions. Ideal for companies needing separate support channels per product line.
Use one Feishu bot but route queries to different agents based on the group chat (e.g., IT, HR, Finance). Perfect for enterprises wanting a single entry point with specialized responses per department.
Configure multiple agents to collaborate on content creation: one drafts, one reviews, one formats. Useful for marketing teams needing consistent, high-volume output.
Create a structured wizard that guides new employees through setup steps, with each agent handling a different phase (e.g., account creation, training scheduling, policy acknowledgment).
Deploy multiple agents in different community groups to automatically moderate messages, answer FAQs, and escalate issues, all managed through a single Feishu bot per group.
Charge users a monthly fee for access to a pool of pre-configured agents, with tiered pricing based on number of agents and Feishu bot integrations.
Offer a paid service to help clients design and deploy multi-agent setups tailored to their workflows, including custom persona templates and routing rules.
Provide a basic single-agent setup for free, then charge for advanced multi-agent configurations, priority support, and custom integrations.
💬 Integration Tip
Leverage the wizard's preflight checks and default-safe modes to avoid breaking existing setups. Use the provided scripts (generate_agent_ids.py, suggest_persona_kind.py) for consistency.
Scored May 23, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
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