🔧 Why You Need Workflows

Hey there 👋,

We keep seeing the same pattern.

Operators spend 20 minutes re-explaining newsletter formatting requirements to Claude. Same structure. Same tone guidelines. Same output format.

Every single time.

They're treating AI like a blank slate instead of a trained assistant.

The difference: workflows vs. prompts.

Here's what happens when operators don't build workflows.

They write long custom instructions. They embed knowledge bases into projects. They paste the same examples into every conversation. Then they wonder why Claude forgets things or why their responses degrade after a few exchanges.

They're burning context on repetition instead of reserving it for actual work.

Between custom instructions, projects, and MCP servers, most operators are choosing the wrong tool for the job. Custom instructions eat context on every conversation whether you need them or not. Projects lock you into static workflows. MCP servers can consume hundreds of thousands of tokens connecting to external APIs.

The solution: portable workflows you invoke only when needed.

Claude added a feature called Skills. Think of them as flash drives for AI workflows.

Upload a markdown file with specific instructions. Give it a name. Now you can invoke that expertise in any conversation without consuming context until you actually use it.

The setup takes under a minute. Create a skill.md file with your workflow instructions. Zip it. Upload to Claude. Toggle it on.

Now when you type "use the newsletter formatter skill" in any chat, Claude loads those instructions and executes. When you don't mention it, it doesn't consume any context.

This solves the problem where operators either:

Skills give you reusable expertise that's portable across conversations.

Custom instructions and projects consume context whether you use them or not. If you have 200K token limit and your project instructions use 50K, you're left with 150K for actual conversation. Every time.

Skills cost zero context until you invoke them. You can load 10 different skills and only pay the context cost for the ones you actually use in a given conversation.

MCP servers connect to external data sources (GitHub, databases, APIs). Powerful but can burn through context fast. The GitHub MCP server can consume hundreds of thousands of tokens in minutes just pulling repository data.

When to use each:

MCP servers: Connecting to external APIs or databases where you need live data.

Projects: Instructions that apply to every single conversation regardless of task. Your core operating principles.

Skills: Reusable workflows for specific tasks that you don't need in every conversation. Creating reports, formatting content, analyzing data, generating specific document types.

The breakthrough: you can use skills inside projects. Your project sets the foundation, skills add specialized capabilities you invoke as needed.

Here's how operators are actually using this:

Newsletter formatting: Instead of pasting "use this tone, this structure, these section headers" into every draft, they created a newsletter-formatter skill. Now they write raw content, invoke the skill, get formatted output. Saves 15 minutes per issue.

The operators stuck doing manual work are solving for the wrong constraint. They're optimizing individual prompts when they should be building reusable systems.

Operators who build workflows operate differently than operators who write prompts.

They document processes once instead of recreating them constantly. They invoke expertise as needed instead of loading everything into every conversation. They preserve context for actual thinking instead of burning it on repetition.

They build leverage instead of working harder.

Your newsletter business isn't measured by how many prompts you write. It's measured by how much value you create per hour spent.

Workflows multiply that value. Prompts don't.

LetterOperators.com