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mcp-orchestration skill

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This skill orchestrates multiple MCP tools with serial, parallel, and conditional workflows to streamline complex development tasks.

npx playbooks add skill hhhh124hhhh/godot-mcp --skill mcp-orchestration

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: MCP Orchestration
description: 智能编排和协调多个MCP工具完成复杂开发任务，支持串行、并行、条件、循环等多种执行模式
version: 1.0.0
---

# MCP工具编排技能

## 指令

当用户需要执行复杂的开发任务或需要多个工具协作时，自动进行MCP工具编排。

## 支持的MCP工具
- Chrome DevTools MCP
- Sequential Thinking
- Context7
- Godot MCP

## 编排模式

### 1. 串行模式 - 逐步执行
适用于需要严格步骤顺序的任务。

### 2. 并行模式 - 同时执行
适用于可同时执行的独立任务。

### 3. 条件模式 - 智能分支
根据结果决定后续路径。

## 示例场景
- Godot Web游戏完整开发
- 智能代码审查工作流
- 项目综合分析

Overview

This skill orchestrates and coordinates multiple MCP tools to complete complex development tasks using serial, parallel, conditional, and looped execution patterns. It combines Chrome DevTools MCP, Sequential Thinking, Context7, and Godot MCP so you can run multi-step workflows from a single, natural-language request. The focus is on automating multi-tool collaboration to reduce manual handoffs and speed delivery.

How this skill works

You describe the end goal or task and the skill maps required steps to available MCP tools, then schedules them in an execution plan. It supports strict serial execution, parallel runs for independent steps, conditional branching based on tool outputs, and loops for iterative processes. The system tracks intermediate results and routes outputs between tools so complex pipelines run end-to-end with minimal manual intervention.

When to use it

  • Developing or iterating a Godot Web game that needs asset, code, and runtime checks
  • Coordinating multi-step code reviews that require static analysis, live debugging, and contextual recall
  • Running project-wide analysis that combines different tool perspectives concurrently
  • Automating repetitive developer workflows that involve multiple specialized MCP tools
  • Building conditional deployment or test pipelines that depend on intermediate results

Best practices

  • Define clear, outcome-focused goals so the orchestrator can plan steps effectively
  • Break large tasks into named subtasks to enable parallelism and clearer branching
  • Provide examples of expected outputs for conditional branches to reduce ambiguity
  • Limit loop iterations or add convergence conditions to avoid runaway executions
  • Monitor intermediate logs and preserve key artifacts for debugging and audit

Example use cases

  • Full Godot Web game workflow: asset import, code generation, runtime test, and deployment
  • Smart code review: run linters, reproduce failing scenarios via DevTools, then summarize fixes
  • Project health scan: parallel static analysis, dependency checks, and contextual risk scoring
  • Automated repro loop: iterate failing test cases until a fix is validated
  • Feature rollout: conditionally trigger broader integration tests only if unit checks pass

FAQ

Which MCP tools are integrated?

Chrome DevTools MCP, Sequential Thinking, Context7, and Godot MCP are supported by this orchestrator.

Can tasks run in parallel and still share outputs?

Yes. Independent tasks run in parallel and the orchestrator can merge or route outputs to downstream steps when needed.