feishu-multi-agent-manager交互式引导配置多 Agent 系统，支持批量创建、凭证验证、角色模板、自动备份
Install via ClawdBot CLI:
clawdbot install rfdiosuao/feishu-multi-agent-managerGrade 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/rfdiosuao/openclaw-skills/blob/main/feishu-multi-agent-manageUses known external API (expected, informational)
open.feishu.cnAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
适用于中大型企业，通过配置多个飞书Agent分别服务不同部门，如开发、内容、运营等，实现跨部门任务自动化处理。每个Agent独立工作区确保数据隔离，提升协作效率并减少人工干预。
帮助初创公司快速部署多Agent客服系统，利用预设角色模板如法务、财务助理，处理客户咨询、合同审核和账目管理。批量创建功能简化设置流程，降低技术门槛。
教育机构使用此技能配置多个Agent，分别负责课程内容创作、运营推广和财务跟踪。交互式向导引导非技术人员完成设置，支持自定义角色以适应特定教育需求。
电商平台部署多Agent系统，自动化处理商品内容生成、用户增长运营和财务数据分析。凭证验证确保飞书应用安全，工作区隔离保护敏感业务数据。
提供基于飞书的多Agent配置工具作为SaaS产品，向企业收取月度或年度订阅费。收入来自功能访问、预设角色模板和优先支持服务，适合中小企业客户。
针对大型企业提供定制化多Agent系统集成服务，包括个性化角色开发和深度飞书集成。收入来自一次性项目费用和持续维护合同，适用于高复杂度需求。
通过飞书教程和交互式向导，提供配置多Agent系统的培训课程和咨询服务。收入来自工作坊、认证培训和文档访问许可，帮助用户最大化工具价值。
💬 Integration Tip
确保飞书应用凭证正确配置，并重启OpenClaw系统以应用批量创建的Agent设置。
Scored Apr 19, 2026
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 interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.