> For the complete documentation index, see [llms.txt](https://docs.tuannvm.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tuannvm.com/blog/reading/2025-10-16-claude-skills-are-awesome-maybe-a-bigger-deal-than-mcp.md).

# 2025-10-16 Claude Skills are awesome, maybe a bigger deal than MCP

**Claude Skills are awesome, maybe a bigger deal than MCP**\
<https://simonwillison.net/2025/Oct/16/claude-skills>

Simon Willison’s article introduces **Claude Skills**, a new Anthropic feature that significantly enhances LLM capability by enabling specialized, modular task execution. Skills are **folders** containing a Markdown file with instructions, optional scripts, and resources that the model can load **only when relevant**, making them **token-efficient** and highly flexible.

Key points:

* **What Skills Are:**
  * Markdown-based instructions with optional YAML frontmatter.
  * May include scripts or resources to handle specialized tasks (e.g., Excel, PDFs, Slack GIFs).
  * Loaded only when needed, conserving token usage.
* **How They Work:**
  * Claude scans available skills on session start, reading short YAML summaries.
  * Full skill details are used only if a related task arises.
  * Require a coding environment with filesystem and script execution.
* **Comparison to MCP (Model Context Protocol):**
  * **MCP** is heavy, token-expensive, and protocol-driven.
  * **Skills** are lightweight, simple to create, and integrate seamlessly into coding agents.
  * MCP implementations often limit LLM performance due to context size.
* **Applications & Potential:**
  * Can create domain-specific “agents” (e.g., data journalism pipelines).
  * Easily shareable, simple to adapt, and not model-locked.
  * Expected to trigger a “Cambrian explosion” of community-made skills, overshadowing MCP adoption.
* **Security & Safety:**
  * Depends on sandboxed coding environments to prevent abuse and prompt injection risks.

#### Mermaid Diagram of Claude Skills vs MCP

{% @mermaid/diagram content="flowchart TD
A\[Claude LLM] --> B{Task Requested?}
B -->|General Task| C\[Baseline Claude]
B -->|Specialized Task| D\[Check Available Skills]
D --> E\[Load Relevant Skill]
E --> F\[Execute Skill Scripts/Instructions]
F --> G\[Task Completed Efficiently]

```
subgraph MCP Approach
    H[LLM] --> I[Load MCP]
    I --> J[Consume Large Token Context]
    J --> K[Perform Task]
end

G --> L[Less Token Usage]
K --> M[High Token Usage]

style A fill:#ffd700
style D fill:#90ee90
style H fill:#87ceeb" %}
```

This illustrates how **Skills offer a lightweight, modular, and token-efficient alternative** to MCP for enhancing LLM capabilities.


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