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Claude Skills exist to solve a very practical problem. When you ask Claude to do the same kind of work repeatedly, you should not have to explain the process every single time.
Skills allow you to turn repeated prompts into reusable workflows. Instead of starting from scratch, Claude learns how you want a task handled and applies that logic automatically when similar requests appear.
If you are building systems, content pipelines, or AI-driven workflows at scale, this is where Claude Skills become essential. Platforms like Agent37 are built around this exact idea: moving from one-off prompts to structured, repeatable AI behavior.
This guide explains what Claude Skills are, what you need before creating one, and the two main ways to build them properly.
What Exactly Are Claude Skills?
Before getting into the how, it helps to understand the what.
Claude Skills are modular and reusable task units that extend Claude’s ability to handle repeatable and specialized work. These tasks might include generating reports using fixed guidelines, automating internal workflows, or standardizing how content is created across projects.
You can think of a Skill as a playbook Claude follows automatically when the situation matches. Instead of relying on memory from a single conversation, the Skill acts as a persistent set of instructions.
At a basic level, a Skill is a folder that contains instructions stored in a file called SKILL.md. It may also include templates, examples, or supporting resources. When Claude detects a task that aligns with the Skill, it loads these instructions and follows them without requiring you to restate the process.
That is what makes Skills powerful. They replace repeated explanations with systems.
Before You Start: What You Need
You do not need an advanced setup to create Claude Skills, but a few things should be clear first.
You need access to Claude with Skills enabled. You also need a well-defined task or workflow that you want Claude to learn. Skills work best when the task is specific and repeatable.
Some people use development tools or advanced editors when building more complex Skills, but these are optional. Many effective Skills are created entirely through conversation.
There are two common ways to create a Skill.
- One approach uses Claude itself through guided conversation.
- The other approach involves manually creating the Skill folder and instruction files.
Both methods work well. The right choice depends on how much structure and control you need.
Step-by-Step: Option 1 — Create a Skill Through Conversation
This is the most accessible way to get started, especially if you are not focused on development workflows.
1. Enable Skills in Claude
Open Claude’s settings, go to capabilities, and enable Skills. You may also see a built-in skill creator option. Enable that as well.
2. Start a New Chat and Describe the Task
Explain what you want Claude to learn in plain language. For example:
“I want to create a skill that generates quarterly business reviews using our internal structure and tone.”
Claude will respond by asking questions about your workflow.
3. Answer the Clarifying Questions
Claude will ask about inputs, timing, output format, and any rules that must always be followed. These answers define how reliable the Skill will be.
Clear and specific answers lead to better results.
4. Claude Generates the Skill
Based on your responses, Claude creates a structured SKILL.md file that defines how the task should be handled. Any examples or supporting files you mention can also be included.
5. Activate and Test the Skill
Return to the Skills section in settings and enable the new Skill. Test it using real prompts. If something feels off, adjust the instructions and test again.
This conversational approach works well for workflows that can be described clearly and refined over time.
Step-by-Step: Option 2 — Manually Build a Claude Skill
This method provides more control and is better suited for complex or production workflows.
1. Create the Project Folder
Create a folder on your system with a structure similar to this:
my-first-claude-skill
├── SKILL.md
├── templates
│ └── example.md
└── resources
└── sample.json
Claude expects a root folder containing SKILL.md along with any supporting files.
2. Write the SKILL.md File
This file defines how the Skill behaves. It starts with metadata followed by clear instructions.
Here is a minimal example:
- --
name: report-generator
description: Generates quarterly reports from raw data
version: 0.1.0
- --
## Overview
This skill helps Claude assemble quarterly reports based on provided sales data.
## Inputs
- Raw data in CSV format
- High-level objectives
## Output
A formatted quarterly report with analysis and insights.
## Steps
1. Parse and validate incoming data
2. Analyze trends and anomalies
3. Produce structured output
Clear metadata and step definitions help Claude understand when and how the Skill should be applied.
3. Add Examples and Templates
If your workflow relies on specific formats, add templates or example files and reference them inside SKILL.md. This greatly improves consistency.
4. Package and Upload the Skill
Once the folder is complete, package it and upload it through the Claude Skills interface or register it using a development workflow. The exact process depends on how you access Claude.
5. Activate and Test
Enable the Skill and test it with real tasks. Look for edge cases and refine the instructions as needed.
Tips for Better Skills
Start simple and focus on one task.
Include real examples whenever possible.
Define clearly when the Skill should activate.
Test repeatedly and refine over time.
The strongest Skills evolve through use, not guesswork.
Why It Matters
Once a Skill is in place, Claude no longer needs repeated guidance. It recognizes the situation and applies the logic automatically.
This leads to more consistent results, faster workflows, and fewer corrections. Whether you are standardizing reports, automating content creation, or building AI-driven systems, Skills reduce friction and improve reliability.
For teams and platforms focused on scalable AI workflows, this is a foundational capability.
Conclusion
Claude Skills transform isolated prompts into repeatable systems. Instead of managing conversations, you manage workflows.
By defining how tasks should be handled once, you allow Claude to apply that logic consistently going forward. Whether you choose the conversational approach or the structured file-based method, the result is the same: more control, more consistency, and less repetition.
The best way to start is simple. Pick a task you already repeat, turn it into a Skill, and refine it through use. Over time, these Skills become the backbone of how you work with AI.
If you want, the next step can be creating a production-ready Skill specifically aligned with how Agent37 structures AI workflows.