TL;DR:
Skills package reusable instructions, templates, and supporting documents into workflows Claude can activate automatically, so you stop re-explaining the same process every conversation.
There are four types: Anthropic-built Skills (document generation, file handling), Custom Skills (your own workflows), Organization Skills (team-wide, managed centrally), and Partner Skills from vendors like Notion, Figma, and Atlassian.
Skills control how Claude works, not what it can reach. If your workflow involves reading Gmail, updating a CRM, or creating Jira tickets, you also need an integration layer. Through Composio, you can connect to 1,000+ apps to handle that.
To use Skills, you need Code Execution enabled on your account. Anthropic built-in Skills are available immediately once it's on; Custom Skills can be built from there.
Cost floor: Composio's free tier covers 20,000 tool calls per month. The $29/month plan covers 50,000.
Claude can write reports, generate code, analyze data, create presentations, and interact with external tools. As those capabilities have expanded, so has the challenge of getting Claude to perform recurring tasks consistently without repeating the same instructions every time you start a new conversation. That's where Claude Skills come in.
Skills let you package instructions, workflows, and supporting resources into reusable capabilities that Claude can automatically apply when they're relevant. Instead of maintaining dozens of prompt templates or copying large blocks of text into every conversation, you can teach Claude a workflow once and let it recognize when that workflow should be used.
In this guide, we'll explain what Claude Skills are, how they work behind the scenes, the different types of Skills you can use, and how you can extend Claude even further by connecting it to 1,000+ applications through Composio.
Claude Skills explained
Most people who use AI regularly eventually run into the same problem. They discover a prompt that works well, save it somewhere, and then reuse it over and over again. As their use of AI grows, so does the number of saved prompts. Before long, they have folders full of writing prompts, coding prompts, marketing prompts, customer support prompts, and countless variations for different situations.
While this approach works, it isn't particularly scalable. Every new conversation starts with finding the right prompt, copying it, making adjustments, and hoping nothing important was forgotten. If multiple people on a team are doing the same work, each person often ends up using slightly different prompts, leading to inconsistent results.
Claude Skills solve this problem. Instead of storing isolated prompts, Skills package an entire workflow into something Claude understands as a reusable capability. That workflow might define how blog articles should be structured, how engineering documentation should be formatted, or how customer emails should be categorized and answered.
Once created, Claude can use the Skill whenever it's relevant. Rather than asking Claude to follow a long list of instructions every time, you simply describe the task you want to complete. Claude identifies the relevant Skill and applies those instructions automatically whenever they're needed.
How Claude Skills differ from prompts
At first glance, Skills may sound like another way to save prompts, but they're designed to solve a much broader problem. A prompt is typically tied to a single conversation. It contains instructions that tell Claude what to do for that specific request. If you want to use those same instructions tomorrow or share them with a colleague, you'll usually need to save them somewhere else and paste them into a new chat.
Skills remove that repetitive setup. Instead of existing only inside one conversation, a Skill becomes a reusable workflow that Claude can access whenever it's appropriate. You don't need to remember its exact wording or manually include it every time you ask Claude to perform a task.
For example, a marketing team that publishes articles every month can package their tone of voice, article structure, SEO requirements, and formatting standards into a single writing Skill. Every writer then gets the same editorial process behind the scenes, without maintaining their own prompt or manually pasting guidelines into each conversation.
The same principle applies across other departments. An engineering team could create a Skill that applies internal coding standards during code reviews. A customer support team could package troubleshooting procedures and escalation policies into a Skill that Claude automatically follows while drafting responses.
In both cases, the goal is to make AI-assisted work more reliable, repeatable, and consistent across every conversation.
What can a Claude Skill include?
A Claude Skill can package together multiple resources that help Claude complete a task consistently. Depending on its purpose, a Skill may include detailed instructions explaining how Claude should approach the task, reference documents that provide additional context, templates for consistent formatting, examples of high-quality outputs, and even supporting scripts where appropriate.
Think of a Skill as documenting both what should be done and how it should be done.
For example, a content marketing team might build a Skill that includes:
Editorial guidelines
Brand voice documentation
SEO best practices
Article templates
Internal writing examples
Formatting standards
When Claude activates that Skill, it doesn't need those resources to be uploaded again because they're already associated with the workflow.
An engineering team could build something entirely different. Their Skill might contain API documentation, coding standards, testing procedures, deployment steps, and reusable code snippets. Whenever Claude assists with development tasks, it has immediate access to those resources without developers needing to explain the same processes repeatedly.
This flexibility means Skills aren't limited to one type of work. They can support writing, programming, research, analysis, operations, customer support, and countless other business processes. The more structured a workflow is, the more valuable it becomes as a reusable Skill.
Types of Claude Skills
Not every Skill serves the same purpose. Some are provided by Anthropic, others are created by individual users, larger organizations can distribute Skills across entire teams, and some come pre-built by software partners like Notion, Figma, and Atlassian.
Understanding these different types helps you decide when to rely on built-in capabilities and when it's worth creating your own reusable workflows.
Anthropic Skills
Anthropic includes a growing collection of official Skills that extend Claude beyond standard text generation. Anthropic maintains these Skills to cover common tasks that most users perform every day.
For example, when you ask Claude to create a PowerPoint presentation, generate a spreadsheet, produce a formatted Word document, or work with PDFs, you're often using one of Anthropic's built-in Skills behind the scenes. Instead of manually formatting complex files through lengthy prompts, Claude activates the appropriate Skill to generate the requested output.
One advantage of Anthropic Skills is that they're maintained centrally. As Claude improves, these Skills receive updates alongside the platform itself, so users don't need to worry about maintaining them or installing new versions.
For most people, Anthropic Skills provide an easy way to access advanced capabilities without any setup. You simply ask Claude to perform the task, and if an official Skill is available, Claude can activate it automatically.
Custom Skills
While Anthropic Skills cover general-purpose tasks, Custom Skills allow you to teach Claude how you or your organization works. This is where Skills become especially powerful. Instead of adapting your workflow to fit the AI, you can adapt the AI to fit your workflow.
Imagine your company has a detailed process for writing blog posts. Every article follows a specific structure, targets particular SEO requirements, references approved sources, and maintains a consistent brand voice. Rather than explaining those requirements every time someone asks Claude to write an article, you can package them into a Custom Skill.
The same idea applies across almost every department. A software engineering team could create a Skill that performs code reviews according to internal development standards. A finance team could define how quarterly reports should be organized. A legal department might create a Skill that reviews contracts using company-specific requirements before highlighting potential risks.
Because Custom Skills can include supporting documentation alongside instructions, they become much more than saved prompts. They function as reusable operating procedures that Claude can follow automatically whenever the workflow is relevant.
For businesses using Claude regularly, this helps improve consistency across employees while dramatically reducing repetitive prompting.
Organization Skills
For companies using Claude Team or Enterprise, Skills become even more valuable because they can be shared across an entire organization. Without Organization Skills, employees often build their own prompt libraries independently. Over time, those prompts diverge as individuals make small adjustments or develop their own preferred approaches. Even when everyone is trying to accomplish the same task, the outputs can vary because they're working from different instructions.
Organization Skills solve this problem by allowing administrators to create centrally managed workflows that every employee can access. For example, a sales organization could distribute a proposal-writing Skill that follows approved messaging, pricing language, and formatting guidelines. A customer support department could publish a Skill that applies the company's escalation policies and response standards. Marketing teams could maintain a shared writing Skill that ensures every article follows the same editorial style and SEO process.
Because these Skills are managed centrally, updates only need to be made once. As workflows evolve, administrators can improve the Skill without asking every employee to update their personal prompt library.
This makes Organization Skills particularly useful for larger teams where consistency, compliance, and knowledge sharing are important. Rather than relying on individuals to remember every process, the organization's best practices become built directly into the way Claude assists employees.
Partner Skills
Partner Skills are professionally built by software companies and published in Anthropic's Skills Directory. You browse and install them from inside Claude, via Customize > Skills > "+" > Browse skills, rather than building your own version for each platform. Partners including Notion, Figma, and Atlassian maintain these Skills so they reflect how those tools actually work.
Because these Skills are built by the companies that own the software, they're designed to reflect how those tools work, covering the actions, data structures, and workflows specific to each platform.
For teams that already rely heavily on one or more of these tools, Partner Skills offer a faster path to integrating Claude into existing workflows without needing to define every process manually. As the Skills ecosystem grows, the range of available Partner Skills is expected to expand alongside it.
How do Claude Skills work?
One of the biggest advantages of Claude Skills is that they require minimal setup once they're configured. You don't need to remember special commands, select Skills from a menu before every conversation, or manually paste instructions into each prompt.
Instead, Claude determines which Skills are relevant based on what you're asking it to do. Behind the scenes, Claude follows a staged process that identifies the most appropriate Skill, loads only the resources it needs, and then completes the task using those instructions. This happens automatically, allowing conversations to remain natural while still benefiting from specialized workflows.
Let's look at how that process works in more detail.
Skills activate automatically
Unlike many AI workflow tools, Claude doesn't expect users to manually choose which Skill to use before starting a task. Once Skills are available in your workspace, Claude evaluates each new request to determine whether one or more Skills could help complete it. If a relevant Skill exists, Claude activates it automatically without interrupting the conversation.
For example, suppose you've created a Skill for writing long-form SEO articles that includes your editorial guidelines, preferred heading structure, internal linking strategy, and formatting standards. Rather than beginning every conversation with something like:
"Use my SEO writing prompt."
or
"Activate my Blog Writing workflow."
you simply ask:
"Write a comparison of Claude Skills and OpenAI GPTs."
Claude recognizes that your request matches the purpose of your writing Skill and automatically applies those instructions while generating the article. The same experience applies across other workflows. If you've built a Skill for reviewing Python code, Claude can recognize coding-related requests and use that Skill instead. If you ask it to summarize financial statements, it can activate a finance-related Skill if one is available.
From the user's perspective, nothing feels different. You're still chatting naturally with Claude. The only difference is that Claude is quietly applying the right workflow behind the scenes whenever it's relevant. This automatic activation is one of the biggest reasons Skills feel less like prompt templates and more like built-in capabilities.
Progressive disclosure keeps Claude efficient
If Claude loaded every Skill you owned into every conversation, performance would quickly become a problem. Imagine having 30 different Skills covering marketing, engineering, customer support, finance, HR, legal, sales, and operations. Most conversations only require one or two of those workflows. Loading all of them every time would waste valuable context space and force Claude to process a large amount of information that has nothing to do with your request.
To avoid this, Anthropic uses a technique called progressive disclosure. Instead of immediately loading every Skill in full, Claude first reviews lightweight metadata that describes what each Skill is designed to do. Think of this metadata as a short summary rather than the complete workflow. If Claude determines that one of those summaries matches your request, it then loads the Skill's detailed instructions. If the Skill also contains supporting resources like templates, documentation, or scripts, those are only brought into the conversation if they're needed to complete the task.
This staged approach makes Skills much more scalable. Rather than forcing users to choose between having lots of Skills or maintaining efficient conversations, progressive disclosure allows Claude to support large Skill libraries while only using the resources required for the current task. The result is a system that feels both intelligent and lightweight. Claude has access to a wide range of workflows without cluttering every conversation with unnecessary instructions.
How Claude chooses the right Skill
Claude doesn't activate Skills randomly. Instead, it compares your request against the purpose and description of every available Skill to determine which ones are most relevant.
Suppose your workspace contains the following Skills:
SEO Blog Writing
Python Code Review
Customer Support Responses
Financial Analysis
Sales Proposal Generator
Now imagine you ask Claude:
"Write a 2,000-word article comparing CRM platforms."
Claude evaluates that request and recognizes that it's a long-form writing task. Based on the Skill descriptions, the SEO Blog Writing Skill is the strongest match, so Claude loads those instructions and generates the article using your preferred workflow.
Now imagine your next prompt is:
"Review this pull request for potential performance issues."
This time, the writing Skill isn't relevant. Instead, Claude activates the Python Code Review Skill because it better matches the task you're trying to complete. This process happens automatically for every conversation. You don't need to browse your Skill library or remember exactly what each Skill is called. Claude handles the matching for you, allowing interactions to remain conversational while still benefiting from highly specialized workflows.
As your collection of Skills grows, this automatic selection becomes even more valuable because it removes the overhead of managing dozens of reusable workflows yourself.
Getting started with Claude Skills
Using Claude Skills requires minimal setup. Once Skills are enabled for your account, you can begin using Anthropic's built-in Skills immediately and start creating your own as your workflows become more sophisticated.
For individuals, the first step is enabling Code Execution, which is required for Skills to be available. Team and Enterprise administrators can enable this feature for their entire organization, making Skills available to every employee.
From there, you can browse Anthropic's official Skills or begin building Custom Skills tailored to your own work. Creating a Skill typically involves defining clear instructions, adding any supporting documents or templates, and giving the Skill a description that helps Claude understand when it should be used.
As you continue working with Claude, you'll naturally discover repetitive tasks that can be turned into Skills. Instead of repeatedly explaining how reports should be formatted, how code reviews should be performed, or how articles should be structured, you can package those workflows once and allow Claude to reuse them automatically.
Over time, many users build a library of Skills covering different areas of their work. Rather than replacing normal conversations, Skills quietly improve them by reducing repetitive setup and helping Claude produce more consistent results.
Connect Claude to your apps
Claude Skills are excellent at teaching Claude how to perform a task, but they don't automatically give Claude access to the software your business uses every day. For example, you might create a Skill that teaches Claude how your customer support team handles incoming emails. The Skill can explain how to categorize tickets, when to escalate issues, what tone to use, and how responses should be formatted.
However, the Skill alone doesn't allow Claude to open Gmail, read new messages, create Jira tickets, or update your CRM. That's where integration platforms like Composio come in.
Composio connects Claude to more than 1,000 applications, allowing it to interact with the tools your business already relies on. Instead of only generating text inside a chat window, Claude can become part of real business workflows by reading data, performing actions, and moving information between different applications.
When you combine Claude Skills with Composio, Claude doesn't only follow your workflows. It can execute those workflows across the software your team already uses.
Why Skills alone aren't enough
Skills define behavior, but they don't provide connectivity. Think of a Skill as a set of operating instructions. It tells Claude how to perform a task, what standards to follow, and what decisions to make throughout the process. Those instructions are incredibly valuable, but Claude still needs a way to interact with the outside world if that workflow involves external software.
Imagine your sales team has created a Skill that teaches Claude how to qualify inbound leads. The Skill might include:
Qualification criteria
Scoring rules
Follow-up templates
Objection handling guidance
CRM field requirements
Claude can understand exactly how your team evaluates prospects. But without access to your CRM, Claude can't retrieve new leads, update contact records, assign opportunities, or notify sales representatives. The same limitation exists across countless business workflows. A customer support Skill can't respond to Gmail messages without Gmail access. A project management Skill can't create Jira tickets without Jira access. A recruiting Skill can't review candidates stored in Greenhouse without being connected to Greenhouse.
Skills define the process, but another layer is responsible for giving Claude access to the applications where work happens.
Start with Composio's free tier, connect one app, and run your first Skill to confirm the loop works end to end. Once you see a real tool call complete against a live app, the rest of the setup becomes straightforward. Sign up free at Composio (no credit card required, 20,000 free tool calls per month).
FAQs
Are Claude Skills only for developers?
No, anyone can structure a SKILL.md file using plain-text instructions with a name, description, and steps. Executing those Skills against real apps like Gmail or Notion requires an integration layer like Composio to handle the underlying API authentication.
Can I share my Claude Skills with other users?
Yes, you can share the markdown configuration files that define your Skills, and other users can adopt the same structure. Each user must authenticate their own app connections via their own Composio account, since credentials are scoped per user and are never shared across accounts.
Do Claude Skills work on the free tier of Claude?
Yes, Claude Skills execute on Claude's free plan for personal workflows. Programmatic execution that calls the Anthropic Messages API requires an Anthropic API account, and tool-call volume is managed through your Composio plan.
How much does it cost to run Claude Skills in production?
Claude Skills are free to define and store. The cost comes from two sources: Anthropic's API usage if you're calling Claude programmatically, and your integration platform's tool execution limits. Composio's free tier provides 20,000 tool calls per month at no cost, and the $29 per month paid tier covers 50,000 calls.
Glossary
Model Context Protocol (MCP): Think of it as a universal connector for AI. It lets AI models discover and use tools hosted on local or remote servers through a single connection point that works across frameworks.
Tool-calling API: The mechanism Claude uses to request actions from external apps. When Claude needs to send an email or update a record, it sends a structured request to the connected app and waits for a confirmation before continuing.
MCP Gateway: Composio's enterprise layer that lets administrators whitelist or blacklist specific toolkits, controlling which connected apps and tool sets an AI skill is permitted to use across a team.
Progressive disclosure: The way Claude manages Skills efficiently. Instead of loading every Skill in full at the start of a conversation, Claude first reads a short summary of each Skill and only pulls in the full instructions when it decides one is relevant to your request.