Multi Service Orchestration

OrganizationPopular

a5c-ai

multi-service-orchestration

PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

Overview

Publisher	a5c-ai
Repository	`babysitter`
Skill name	`multi-service-orchestration`
Stars	1.8K
Forks	106
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by a5c-ai on GitHub. Read the source before you install it.

Installation

Install the Multi Service Orchestration AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/everything-claude-code/skills/multi-service-orchestration

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p .claude/skills
cp -r /tmp/babysitter/library/methodologies/everything-claude-code/skills/multi-service-orchestration .claude/skills/multi-service-orchestration

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Multi Service Orchestration in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Multi Service Orchestration on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Multi Service Orchestration is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Scan for service directories (packages/, services/, apps/)
Parse package.json for dependencies and scripts
Build dependency graph
Detect package managers per service
Determine topological execution order
Flag circular dependencies

Execution Modes

Cascade Mode

Sequential execution following dependency order
Wait for health check before starting dependents
Stop on failure with detailed error report
Support partial cascade (skip healthy services)

Parallel Mode

Concurrent execution for independent services
Optional worktree isolation per service
Configurable concurrency limit
Collect all results (continue on individual failures)

Auto Mode (Default)

Analyze dependency graph
Use cascade for services with sequential dependencies
Use parallel for independent service groups
Hybrid: cascade between groups, parallel within groups

PM2 Management

Generate ecosystem.config.js from service manifest
Configure per service: name, script, cwd, env, instances
Start in topological order with health check gates
Log rotation and restart policies
Status monitoring: online, stopped, errored

Cross-Service Testing

API contract verification (request/response schemas)
Event bus message flow testing
Shared state consistency checks
Authentication across service boundaries
Circuit breaker behavior validation

Health Monitoring

Health check endpoint polling
PM2 process status monitoring
Resource usage tracking (CPU, memory)
Log file error pattern detection
Inter-service connectivity verification

When to Use

Multi-package monorepo development
Microservice orchestration
Full-stack application management
CI/CD pipeline for multi-service deployments

Agents Used

architect (service discovery and dependency mapping)
build-resolver (individual service builds)
e2e-runner (cross-service integration testing)

Frequently asked questions

What does the Multi Service Orchestration AI skill do?

PM2 process management, backend/frontend cascade execution, parallel worktree builds, and cross-service integration testing.

Why use Multi Service Orchestration on TypingMind?

Because you install it once and use it with any model. Multi Service Orchestration is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Multi Service Orchestration in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/everything-claude-code/skills/multi-service-orchestration. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Multi Service Orchestration?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Multi Service Orchestration?

As many as you like. As long as a model supports skills, you can use Multi Service Orchestration with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Multi Service Orchestration AI skill free?

Yes. It is published on GitHub by a5c-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Execution Modes

Cascade Mode

Parallel Mode

Auto Mode (Default)

PM2 Management

Cross-Service Testing

Health Monitoring

When to Use

Agents Used

Frequently asked questions

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