SuperAPI AI Directory

Anthropic Skills - The skill system launched by Anthropic for Claude

Author: AI小集 · Original source: AI工具集

What is Anthropic Skills

Anthropic Skills is a skill system launched by Anthropic for Claude. It is essentially a folder containing instructions, scripts, and resources, allowing Claude to dynamically load them to improve performance on specific tasks. Each Skill is defined through a SKILL.md file, covering scenarios such as document processing (docx/pptx/xlsx/pdf), Web testing, MCP building, frontend design, algorithmic art, and more. Users can install and use it through the Claude Code plugin marketplace or Claude directly, and can also create custom Skills based on templates to achieve workflow automation and capability expansion.

Anthropic Skills

Main features of Anthropic Skills

  • Document office work: supports generating and editing four types of documents: Word/Excel/PPT/PDF, covering style formatting, formulas and charts, form extraction, and redline review.
  • Web testing: performs end-to-end automated testing, screenshot comparison, and interaction verification for Web applications based on Playwright.
  • MCP building: guides the writing of Model Context Protocol servers, helping Claude connect to external APIs and data sources.
  • Frontend design: outputs React + Tailwind/shadcn interface code to quickly build Landing Pages and interactive components.
  • Algorithmic art: uses p5.js to generate algorithmic patterns and animations, supporting visual creation such as posters and illustrations.
  • Brand themes: applies brand colors and font systems to documents, web pages, and PPT with one click, maintaining visual consistency.
  • Collaboration and communication: provides multi-person collaborative document templates and internal corporate communication copywriting standards to unify writing standards.

Technical principles of Anthropic Skills

  • File structure and metadata parsing: Each Skill is a self-contained folder, with the core being SKILL.md. The top of the file uses YAML Frontmatter to declare metadata (name、description、version , etc.), and below it Markdown is used to write instructions, examples, and constraint rules. When parsing, Claude first reads the Frontmatter for routing matching, then loads the body as the behavior script.
  • Context injection and prompt engineering: A Skill is essentially a pluggable "system prompt fragment." After installation, during the conversation initialization phase, Claude dynamically injects the contents of SKILL.md into the model context, concatenating it with the base system prompt. This is equivalent to adding a task-specific "character card" and "working memory" to Claude, enabling it to follow predefined reasoning chains and output formats in specific domains.
  • Dynamic loading and on-demand activation: Claude performs intent matching based on the semantics of the user query. Only when it detects that the task matches a Skill's description and example scenarios does it trigger that Skill's context injection. The on-demand activation mechanism avoids ineffective occupation of the context window and supports chained invocation of multiple Skills (for example, first using skill-creator to generate a new Skill, then immediately loading and executing it).
  • Execution chain: instructions → tools → verification: The Markdown instructions in a Skill contain textual strategies and can also reference code scripts, JSON Schema, or resource files in the same directory. Claude executes according to the steps described by the Skill: first understanding the goal, then calling built-in tools (such as file reading and writing, code execution, browser operations), and self-checking the output according to the "verification rules" defined in the Skill. For example, webapp-testing drives Playwright to perform real browser interactions and verify via screenshots.
  • Connection with the Agent Skills Standard and MCP: Anthropic designed Skills as an implementation of the open Agent Skills standard (agentskills.io).mcp-builder Skills further bridge the Model Context Protocol (MCP), guiding Claude to generate server code that conforms to the MCP specification, enabling external APIs and data sources to be registered as Claude's context tools in a standardized way, achieving expansion from "static instructions" to a "dynamic tool ecosystem".

How to Use Anthropic Skills

  • Claude Code Command-line installation: run in the terminal /plugin marketplace add anthropics/skills to register the official marketplace, use /plugin install document-skills@anthropic-agent-skills to install the office quartet, or use /plugin install example-skills@anthropic-agent-skills to install the remaining example Skills. After installation, simply mention the Skill name in the conversation to trigger it, for example: "Use the PDF skill to extract the form fields from this file."
  • Claude Web usage: Paid subscribers already have all example Skills built in; simply describe the task in the conversation, and Claude will automatically match and load the corresponding Skill. To upload a custom Skill, go to the Skills panel in settings and upload the packaged .skill file or folder; the system will parse the SKILL.md within it and dynamically inject it into the context.
  • Claude API Integration: Through the Skills API, specify skill_id in the request or upload a custom Skill package, enabling API-level Claude instances to have domain-specific capabilities. Suitable for embedding capabilities such as document generation and Web testing into your own product workflows.
  • Create a Custom Skil:Copy the template-skill folder from the repository, modify the YAML Frontmatter (name, description) and body instructions of SKILL.md , and add examples and constraint rules. Save to the ~/.claude/skills/ directory or package as a .skill file and upload it, then you can invoke it by name in the conversation.

Key Information and Usage Requirements of Anthropic Skills

  • Open Source and Licensing Status: The example Skills are fully open source under Apache 2.0; the Office quartet (docx/xlsx/pptx/pdf) is source-available, meaning it can be read for reference but its licensing is restricted
  • Core File Specification: Each Skill must be a self-contained folder, with SKILL.mdin the root directory; the top of the file requires YAML Frontmatter, declaring at least name(unique identifier) and description(trigger scenarios), with the body written in Markdown containing instructions, examples, and constraints
  • Installation Platform Requirements:
    • Claude Code command line: install after registering the marketplace via /plugin marketplace add ;
    • Claude.ai web: a paid subscription is required to unlock all example Skills;
    • Claude API: a valid API key is required and must be bound through the Skills API
  • Categories and Package Names: Officially divided into two groups:document-skills(office quartet) and example-skills(the other 13, including skill-creator); when installing, the full package name must be specified in the command
  • Custom Skill Paths: Claude Code by default reads folders under the ~/.claude/skills/ directory; Claude.ai supports uploading .skill archives or a single file; the API side supports dynamic mounting at request time

Core Advantages of Anthropic Skills

  • Dynamic on-demand loading: Automatically matches and injects the corresponding Skill based on task semantics, avoiding wasted context window space, and supports multi-Skill chained collaboration.
  • Standardized lightweight structure: Only one containing YAML Frontmatter SKILL.md file is needed to define complete behavior, with zero-configuration integration.
  • Comprehensive scenario coverage: Built-in office four-piece suite, Web testing, MCP construction, frontend design, algorithmic art, and 17 other production-grade skills.
  • Meta-skills with unlimited extensibility: Through skill-creator , custom Skills can be generated with zero threshold, enabling unlimited reuse of personal and enterprise workflows.
  • Seamless compatibility across three ends: The same set of Skills can run consistently in the Claude Code command line, Claude.ai web interface, and API.
  • Open ecosystem protocol: Follows the Agent Skills standard and connects with the MCP protocol, ensuring interoperability between custom tools and the external API ecosystem.

Project address of Anthropic Skills

  • GitHub repository:https://github.com/anthropics/skills

Comparison of Anthropic Skills with similar competitors

Comparison dimension Anthropic Skills OpenAI GPTs Cursor Rules
Core positioning A modular task skill system for developers A custom conversational bot for consumers A context rule engine for code editing
Configuration carrier SKILL.md(YAML + Markdown) Conversation configuration + Actions JSON Schema .cursorrules or project-level YAML
Dynamic loading ✅ Semantic matching on demand injects into context ❌ Fixed persona and toolset at startup ⚠️ Statically loaded when opening the project
Degree of openness Example Skill Apache 2.0, fully customizable locally Closed-source ecosystem, configurable only within the platform Configuration files open source, ecosystem closed source
Protocol standard Agent Skills standard + MCP protocol GPT Actions (OpenAPI specification) No unified open protocol, editor proprietary
Applicable platforms Claude Code / Claude.ai / API three ends ChatGPT / GPT Store Cursor IDE exclusive
Capability extension Code execution, browser testing, document generation, MCP access External API calls (Actions) Code completion, terminal operations, LSP integration
Collaboration and sharing GitHub repository-level sharing and version management GPT Store platform distribution Team-level rule synchronization

Application scenarios of Anthropic Skills

  • Document automation office work: Use the docx, xlsx, pptx, and pdf four-piece suite to batch-generate contracts, financial reports, and presentations, automatically handling styles, formulas, charts, and redline review.
  • End-to-end testing of Web applications: Through webapp-testing, drive Playwright to execute automated testing, screenshot comparison, and interaction verification, covering frontend functional regression and UI consistency checks.
  • Custom tool and protocol development: Use mcp-builder to write an MCP server that connects to a private API, or use skill-creator to encapsulate internal workflows into reusable dedicated Skills.
  • Rapid frontend interface building: Based on frontend-design and web-artifacts-builder, output React + Tailwind code to quickly build landing pages, admin panels, and interactive components.
  • Brand visual system implementation: Use brand-guidelines and theme-factory to sync corporate colors, fonts, and typography standards to documents, web pages, and slides with one click, maintaining visual consistency across all channels.