mcpField
A
Automation Architect

Automation Architect

github.com/jmsktmProductivity10211 installsUpdated 40w ago
Repository

About Automation Architect

Automation Architect is a skill for designing workflow automations with tools such as Zapier, Make, and n8n. It guides technical and operations teams through requirements discovery, planning, implementation, review, and measurement.

Key features

  1. 01Workflow automation design
  2. 02Zapier, Make, and n8n planning
  3. 03Tool and system integration planning
  4. 04Review and iterative optimization
  5. 05Success metric tracking

Use cases

  1. 01Designing an automated business workflow
  2. 02Planning connections between tools and systems
  3. 03Reviewing and improving an existing automation

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/jmsktm/claude-settings --skill automation-architect

After installing, type/automation-architectin Claude Code to confirm it loaded.

Details

From the project README

Automation Architect

Design workflow automations using Zapier, Make, n8n, and other automation tools

When to Use This Skill

Use this skill when you need to:

  • Automate workflows and processes
  • Integrate tools and systems
  • Optimize technical operations

Not recommended for:

  • Tasks requiring creative content
  • manual processes

Quick Reference

ActionCommand/Trigger
Create automation architectworkflow automation
Review and optimizereview automation architect
Get best practicesautomation architect best practices

Core Workflows

Workflow 1: Initial Automation Architect Creation

Goal: Create a high-quality automation architect from scratch

Steps:

  1. Discovery - Understand requirements and objectives
  2. Planning - Develop strategy and approach
  3. Execution - Implement the plan
  4. Review - Evaluate results and iterate
  5. Optimization - Refine based on feedback
Workflow 2: Advanced Automation Architect Optimization

Goal: Refine and optimize existing automation architect for better results

Steps:

  1. Research - Gather relevant information
  2. Analysis - Evaluate options and approaches
  3. Decision - Choose the best path forward
  4. Implementation - Execute with precision
  5. Measurement - Track success metrics

Best Practices

  1. Start with Clear Objectives Define what success looks like before beginning work.

  2. Follow Industry Standards Leverage proven frameworks and best practices in meta.

  3. Iterate Based on Feedback Continuously improve based on results and user input.

  4. Document Your Process Keep track of decisions and outcomes for future reference.

  5. Focus on Quality Prioritize excellence over speed, especially in early iterations.

Checklist

Before considering your work complete:

  • Objectives clearly defined and understood
  • Research and discovery phase completed
  • Strategy or plan documented
  • Implementation matches requirements
  • Quality standards met
  • Stakeholders informed and aligned
  • Results measured against goals
  • Documentation updated
  • Feedback collected
  • Next steps identified

Common Mistakes

MistakeWhy It's BadBetter Approach
Skipping researchLeads to misaligned solutionsInvest time in understanding context
Ignoring best practicesReinventing the wheelStudy successful examples first
No clear metricsCan't measure successDefine KPIs upfront

Integration Points

  • Tools: Integration with common meta platforms and tools
  • Workflows: Fits into existing technical and automation workflows
  • Team: Collaborates with technical and operations stakeholders

Success Metrics

Track these metrics to measure effectiveness:

  • Quality of output
  • Time to completion
  • Stakeholder satisfaction
  • Impact on business goals
  • Reusability of approach

This skill is part of the ID8Labs Skills Marketplace. Last updated: 2026-01-07

Comments

Markdown supported