# Claude Skills vs MCP: What’s the Difference and When to Use Each? Source: https://www.youtube.com/watch?v=qthyl0GCpDo Recap page: https://rapidrecap.app/video/qthyl0GCpDo Generated: 2025-11-20T23:04:01.895+00:00 --- ## Quick Overview Claude Skills are best used for complex multi-step workflows, creating reliable executable code, encoding organizational knowledge, multi-tool orchestrations, and iterative refinement, while MCP (Model Context Protocol) is better suited for simpler tasks requiring live data access like inventory levels or database queries. **Key Points:** - Claude Skills excel at complex, multi-step workflows, such as financial modeling or document creation with specific formatting. - Skills are ideal for tasks requiring reliable, deterministic executable code, unlike general-purpose LLMs. - Skills encode organizational knowledge, including brand guidelines and standard operating procedures. - MCP is better for simpler needs, like retrieving live data (e.g., inventory, emails, database queries) where minimal processing is needed. - The Postman Skill demonstrated by Sterling Chin showed its capability by successfully validating a Postman setup, listing 66 collections, and enhancing an OpenAPI specification, including generating an enhanced collection and an API report. - The main difference is that Skills provide a structured, deterministic path (like a specialized mechanic) while MCP offers a powerful, general-purpose toolset (like a general mechanic with a full toolbox) that requires more guidance for complex tasks. ![Screenshot at 02:43: The video displays the file structure of the Postman Skill \(my-skill/\) showing SKILL.md, scripts/, and docs/, illustrating the structured nature of a Skill which contains instructions, pre-written code, and reference materials.](https://ss.rapidrecap.app/screens/qthyl0GCpDo/00-02-43.png) **Context:** Sterling Chin, Sr. Developer Advocate at Postman, compares and contrasts the use cases for Claude's Model Context Protocol (MCP) against Claude Skills, using an analogy of a highly specialized Formula 1 mechanic versus a general-purpose mechanic with a full toolbox. The demonstration involves setting up and using a Postman Agent Skill within Claude to manage Postman collections, showing how the skill successfully reads documentation, validates the setup, and enhances an existing API specification. ## Detailed Analysis The video explains that Claude Skills and MCP serve different purposes: Skills are for complex, structured, multi-step workflows that require deterministic, reliable executable code and the encoding of organizational knowledge (like brand guidelines or standard operating procedures). Examples of Skill use include complex financial modeling, multi-stage analysis, and multi-tool orchestration. MCP, conversely, is better suited for simpler, direct data retrieval tasks where live data is needed, such as checking inventory levels, reading emails, or running database queries, acting like a general mechanic with a vast toolbox. The demonstration showcased a Postman Skill being loaded into Claude, which successfully read its documentation, validated the Postman connection by executing a Python script, fixed a network timeout issue by identifying the missing workspace ID in the .env file, and then proceeded to list 66 collections, enhance the Exchange Rate collection, generate an OpenAPI 3.0 spec, and finally produce an enhancement report. The key takeaway is that Skills offer deterministic, repeatable execution for complex processes, whereas MCP is more flexible but less inherently structured for multi-step logic. ### MCP vs. Skills Analogy - MCP is like a general mechanic with a full toolbox and no set procedure - Skills are like a specialized mechanic who follows a specific, reliable procedure for complex tasks ### When to Use MCP - When you need live data (inventory levels, emails, database queries) - Simple data retrieval - When minimal processing is required ### When to Use Claude Skills - Complex multi-step workflows (financial modeling, document creation) - Reliable executable codes (deterministic operations) - Encoding organizational knowledge (brand guidelines, SOPs) - Tasks requiring multi-tool orchestration - Multi-stage analysis and iterative refinement ### Postman Skill Demonstration - Postman Skill successfully executed setup validation, listed 66 collections, enhanced the Exchange Rate collection, generated an OpenAPI 3.0 spec, and produced an enhancement report, showing the Skill's ability to perform complex, multi-step operations. ![Screenshot at 00:00: The initial view shows the file structure of a Postman-related project in a code editor, highlighting the Dockerfile and other configuration files.](https://ss.rapidrecap.app/screens/qthyl0GCpDo/00-00-00.png) ![Screenshot at 02:43: A code snippet from SKILL.md detailing the structure of a Claude Skill, including sections for instructions, pre-written code \(scripts/\), and reference materials \(docs/\).](https://ss.rapidrecap.app/screens/qthyl0GCpDo/00-02-43.png) ![Screenshot at 04:05: The contents of the .env.example file, showing required environment variables like POSTMAN\_API\_KEY and POSTMAN\_WORKSPACE\_ID, necessary for the Postman Skill to function.](https://ss.rapidrecap.app/screens/qthyl0GCpDo/00-04-05.png) ![Screenshot at 04:51: The Postman integration in Claude environment showing the initial error message about a network timeout issue when trying to list collections, which Claude diagnosed and provided steps to resolve.](https://ss.rapidrecap.app/screens/qthyl0GCpDo/00-04-51.png) ![Screenshot at 07:17: Postman interface showing the successful execution of tests \(10/10\) on the Exchange Rate - USD request after the Skill enhanced the collection.](https://ss.rapidrecap.app/screens/qthyl0GCpDo/00-07-17.png)