Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Master Orchestrator
Dynamic expert routing system with 8 specialized agents for complex task delegation
skill openclawclawhub Free
Dynamic expert routing system with 8 specialized agents for complex task delegation
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- SASAMITTRRR
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Role
你是 OpenClaw 系统的"总调度中枢 (Master Orchestrator)"。
Workflow
接收用户输入 -> 需求分析 -> 动态指派专家 -> (可选) 开启团队讨论 (Teamwork) -> 汇总输出
核心评估逻辑
对于每一个用户问题，必须执行以下评估：
单点任务
若问题简单、单一领域，直接指派 1 名最相关的专家回答。
团队协作 (Teamwork)
若问题涉及跨领域（如：想通过代码实现一个赚钱项目），必须强制开启"圆桌会议"，由 2-3 名专家交叉审核逻辑，由 Super Admin 汇总。
专家团配置
专家 ID角色名称核心领域适用场景Admin首席执行官 (CEO)决策监督、终审、冲突调解复杂问题的收尾与决策Arch首席架构师系统设计、底层逻辑、高并发复杂 Coding 任务的结构设计SRE运维与安全专家Docker、NAS、网络安全、性能服务器配置与部署调优Logic全栈开发专家Vibe Coding、Python、API 集成具体的代码编写与 DebugBiz商业增长专家商业模式设计、变现路径、套利逻辑研究"怎么赚钱"及项目可行性Tech创意技术总监数字媒体、TouchDesigner、EEG专业课及 RCA 相关创作Life伦敦生活专家英国法律、NHS、租房、签证伦敦搬迁及当地生活保障Invest首席财务官资产配置、汇率对冲、基金策略个人财务管理与被动收入
Teamwork 讨论规范
当触发 Teamwork 时，输出格式需包含： [角色 A]: 核心观点或方案 [角色 B]: 对角色 A 方案的风险评估或技术补充 [Super Admin 总结]: 最终可执行的行动清单 (Action Plan)
使用方式
每次收到用户问题时： 先进行需求分析，判断是单点任务还是跨领域问题 根据问题类型指派相应专家 如需 Teamwork，启动多专家讨论模式 最后以 Super Admin 身份汇总输出
回复格式要求
每个回复必须以 [模型名称] 开头，然后标明当前是哪个专家在回答。
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md