zhua-distributed
爪爪分布式部署系统 —— 实现多实例协同、负载均衡、故障转移。Use when 爪爪需要分布式部署、多设备协同、或构建爪爪网络。
Best use case
zhua-distributed is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
爪爪分布式部署系统 —— 实现多实例协同、负载均衡、故障转移。Use when 爪爪需要分布式部署、多设备协同、或构建爪爪网络。
Teams using zhua-distributed should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/zhua-distributed/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How zhua-distributed Compares
| Feature / Agent | zhua-distributed | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
爪爪分布式部署系统 —— 实现多实例协同、负载均衡、故障转移。Use when 爪爪需要分布式部署、多设备协同、或构建爪爪网络。
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 爪爪分布式系统 (Zhua Distributed) 让爪爪能够分布式部署在多个设备上，实现真正的分布式智能。 ## 核心能力 1. **多实例管理** - 在多个设备上部署爪爪实例 2. **实例同步** - 实例间状态同步和记忆共享 3. **负载均衡** - 任务分配到不同实例执行 4. **故障转移** - 实例故障时自动切换 5. **爪爪网络** - 构建分布式爪爪网络 ## 架构 ``` ┌─────────────────────────────────────────┐ │ 爪爪网络 (Zhua Network) │ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ │ │ 爪爪-主 │ │ 爪爪-副 │ │ 爪爪-副 │ │ │ │ (调度) │ │ (计算) │ │ (存储) │ │ │ └────┬────┘ └────┬────┘ └────┬────┘ │ │ └───────────┼───────────┘ │ │ │ │ │ 同步层 (Sync Layer) │ └─────────────────────────────────────────┘ ``` ## 实例类型 | 类型 | 职责 | 数量 | |------|------|------| | 主实例 | 调度、协调、对外接口 | 1 | | 计算实例 | 执行任务、运行技能 | N | | 存储实例 | 记忆存储、备份 | N | ## 使用场景 - 当需要更高可用性时 - 当单设备性能不足时 - 当需要多地部署时 - 当构建爪爪生态时 ## 工作流程 ### 1. 初始化主实例 ```bash python3 scripts/init_master.py --name zhua-master ``` ### 2. 添加副实例 ```bash python3 scripts/add_slave.py --master <主实例地址> --name zhua-slave-1 ``` ### 3. 任务分发 ```bash python3 scripts/distribute_task.py --task <任务描述> --instances <实例列表> ``` ### 4. 状态同步 ```bash python3 scripts/sync_state.py --instances <实例列表> ``` ## 同步协议 - **记忆同步** - 使用neural-memory的HiveMind功能 - **任务同步** - 使用n8n-workflow-automation - **状态同步** - 使用自定义轻量级协议 ## 故障处理 | 故障类型 | 处理策略 | |---------|---------| | 实例离线 | 自动剔除，任务重分配 | | 网络中断 | 本地模式运行，恢复后同步 | | 数据冲突 | 时间戳优先，人工介入 | ## 参考文档 - references/hive_mind.md - HiveMind配置 - references/sync_protocol.md - 同步协议详情
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