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Claude Code Skill Skills Multi-AI Coordination

Multi-AI Coordination Toolkit

Route tasks to 9 AI providers, orchestrate parallel workflows, synthesize results
14 skills, 4 orchestration patterns, 3 executable templates

ModulesTemplatesPatternsQuick Start

Claude Code WezTerm License

English | 中文


Overview

Multi-AI Coordination Toolkit enables Claude Code to delegate tasks to 9 AI providers running in separate terminal sessions. Beyond simple delegation, it provides orchestration patterns and templates for parallel fan-out, consensus voting, sequential pipelines, and specialist routing.

What Changed (v2.0)

Before (v1) After (v2)
Flat list of 14 skills Organized by function: delegation, monitoring, workflows
No orchestration guidance 4 orchestration patterns with step-by-step instructions
No templates 3 executable templates for common multi-AI workflows
Skills-only Router SKILL.md auto-routes based on user intent

Modules

Delegation (9 providers)

Provider Command Best For
Codex /cask <msg> Code generation, refactoring, PR review
Gemini /gask <msg> Long-context analysis, research, multimodal
OpenCode /oask <msg> Code analysis, debugging, architecture
DeepSeek /dskask <msg> Reasoning, math, algorithms
iFlow /iask <msg> Workflow automation, integrations
Kimi /kask <msg> Long documents, Chinese-language tasks
Qwen /qask <msg> Multilingual, general-purpose analysis
Droid /dask <msg> Mobile/Android development
Generic /ask <provider> <msg> Any provider by name

Monitoring

Skill Command Description
pend /pend <provider> Fetch latest reply from a provider
ping /ping <provider> Check provider connectivity

Workflows

Skill Command Description
all-plan /all-plan Multi-AI collaborative planning
stem-modeling /stem-modeling STEM academic modeling
ccb-launcher /ccb-launcher CCB environment management

Templates

Ready-to-use templates for common multi-AI workflows:

Template Use Case
parallel-review Send code review to multiple providers in parallel, then synthesize
consensus-decision Get multiple AI opinions on a design/architecture decision
research-delegation Delegate research tasks to specialized providers

Orchestration Patterns

For advanced multi-AI coordination, see orchestration/patterns.md:

Pattern When to Use
Parallel Fan-Out Same task to N providers, synthesize results
Sequential Pipeline Chain providers: output of one feeds the next
Consensus Voting Multiple providers vote on a decision
Specialist Routing Route sub-tasks to the best-fit provider

Quick Start

Installation

cd ~/.claude/skills
git clone https://github.com/LeoLin990405/claude-ccb-skills.git

Usage

# The toolkit auto-routes based on your request:
"Review this code with Gemini and Codex"  --> parallel fan-out + parallel-review template
"Get opinions on this architecture"       --> consensus-decision template
"Ask DeepSeek to solve this algorithm"    --> /dskask

# Direct provider delegation:
/gask "analyze this codebase"
/cask "review this PR"

# Check results:
/pend gemini
/ping codex

中文

概述

多 AI 协调工具集 让 Claude Code 能够将任务委托给 9 个独立终端会话中运行的 AI 服务商。除了简单委托外,还提供编排模式和模板,支持并行扇出、共识投票、顺序流水线和专家路由。

模块

类别 技能数 覆盖范围
委托 9 Codex、Gemini、OpenCode、DeepSeek、iFlow、Kimi、Qwen、Droid、通用
监控 2 获取回复 (pend)、连接检查 (ping)
工作流 3 多 AI 规划、STEM 建模、环境管理

模板

模板 用途
parallel-review 并行代码审查,多服务商同时审查后综合结果
consensus-decision 多 AI 共识决策,获取多方意见后投票
research-delegation 研究任务委托,按专长分配给最合适的服务商

编排模式

模式 适用场景
并行扇出 同一任务发给多个服务商,综合结果
顺序流水线 链式调用,前一个的输出作为下一个的输入
共识投票 多个服务商投票决定
专家路由 按子任务特点分配给最擅长的服务商

安装

cd ~/.claude/skills
git clone https://github.com/LeoLin990405/claude-ccb-skills.git

Contributors

  • Leo (@LeoLin990405) - Project Lead
  • Claude (Anthropic Claude) - Content Generation

License

MIT License - see LICENSE for details.


Built with collaboration between human and AI

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Coordination Toolkit — multi-AI delegation, orchestration patterns, and distributed AI workflows

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