Email Automation

Email Automation

When to Use

Trigger phrases:

• "email automation"
• "Help me with email automation"

Use cases:

• When the task matches this skill's domain expertise

When NOT to use:

• For tasks outside this skill's scope

Automate email workflows, create templates, and manage campaigns using Gmail and MCP integrations.

When NOT to Use

• When the tool already handles the workflow natively
• For personal preferences that do not affect output quality
• When the overhead of the system exceeds the time saved

Overview

Email Automation enhances workflow optimization with proven systems and tools.

Daily Workflow

1. Plan — Review priorities and set daily objectives
2. Execute — Focus blocks with minimal interruptions
3. Review — End-of-day reflection and tomorrow's prep

Frameworks

• GTD (Getting Things Done) — Capture, clarify, organize, reflect, engage
• Pomodoro — 25min focus + 5min break cycles
• Eisenhower Matrix — Urgent/Important prioritization
• Time Blocking — Dedicated blocks for deep work

Tools

• Task management (Todoist, Notion, Linear)
• Calendar blocking for focus time
• Note-taking for capture and reference
• Automation for repetitive tasks

Tips

• Batch similar tasks together
• Protect deep work time ruthlessly
• Review and adjust systems weekly
• Eliminate before optimizing

Workflow

# Example: Task prioritization (Eisenhower Matrix)
def prioritize(tasks: list[dict]) -> dict:
    matrix = {"urgent_important": [], "important": [], "urgent": [], "neither": []}
    for task in tasks:
        if task["urgent"] and task["important"]:
            matrix["urgent_important"].append(task)
        elif task["important"]:
            matrix["important"].append(task)
        elif task["urgent"]:
            matrix["urgent"].append(task)
        else:
            matrix["neither"].append(task)
    return matrix

1. Understand requirements — Clarify objectives and scope
2. Set up tools — Configure required tools and access
3. Execute — Perform the core operations
4. Validate — Verify results meet quality standards
5. Document — Record findings and decisions

Anti-Rationalization Table

Process

1. Research — Analyze target audience, competitors, and trending topics
2. Create — Generate content following brand guidelines and best practices
3. Publish & Optimize — Distribute to target platforms, track performance, iterate

Verification

• All steps executed successfully
• Results validated against acceptance criteria
• Error handling tested with edge cases
• Documentation updated with findings