feishu-multi-agentProduction blueprint for orchestrating multiple OpenClaw agents via Feishu with file-driven task queues, cron scheduling, and workspace sandbox workarounds.
Install via ClawdBot CLI:
clawdbot install evan966890/feishu-multi-agentGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 22, 2026
A digital media company uses a foreman agent to assign writing, editing, and design tasks to specialized AI agents via Feishu. Each agent works autonomously on content creation, with cron jobs ensuring continuous output and file-based queues managing workflow priorities.
An e-commerce platform deploys multiple AI agents to handle customer inquiries, returns, and feedback through Feishu. A foreman agent monitors response times and assigns complex cases, while file-driven queues ensure no request is missed and agents work around the clock.
A game studio employs a foreman agent to coordinate AI agents for coding, asset creation, and testing via Feishu. Tasks are distributed through file queues, with cron scheduling maintaining development cycles and sandbox workarounds enabling cross-workspace collaboration.
A financial firm uses a foreman agent to manage AI agents analyzing market data, generating reports, and sending alerts through Feishu. File-based task queues prioritize urgent analyses, and cron jobs automate periodic reporting and compliance checks.
An online education provider leverages multiple AI agents to create lessons, grade assignments, and tutor students via Feishu. A foreman agent assigns topics and schedules sessions, with file queues organizing materials and cron ensuring consistent engagement.
Offer a cloud-based platform where businesses subscribe to use the feishu-multi-agent skill, providing tools for configuring, monitoring, and scaling AI agent teams. Revenue comes from monthly fees based on the number of agents and features like advanced analytics.
Provide expert services to help companies set up and customize the feishu-multi-agent skill for their specific workflows, including integration with existing systems and training for staff. Revenue is generated through project-based fees and ongoing support contracts.
License the feishu-multi-agent technology to large enterprises or software vendors, allowing them to rebrand and embed it into their own products or internal tools. Revenue comes from upfront licensing fees and royalties based on usage or sales.
💬 Integration Tip
Use bash commands for cross-workspace file operations to avoid sandbox restrictions, and ensure cron jobs are configured with system events for foreman agents to maintain reliable scheduling.
Scored Apr 19, 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.
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.