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In the Claude Code ecosystem, **Skill** is an crucial mechanism for extending Agent capabilities. A Skill is essentially a modular knowledge package that can add to Claude: * Professional domain knowledge * Fixed workflows * API / tool usage methods * Templates and scripts Simple understanding: **Skill = an instruction manual written for the AI.** And **skill-creator** is the official Skill development assistant provided by Anthropic, helping developers create, optimize, and package skills. GitHub address: [https://github.com/anthropics/skills/tree/main/skills/skill-creator](https://github.com/anthropics/skills/tree/main/skills/skill-creator) ### What is Skill In Claude Code, a Skill is a **reusable capability extension package**. A Skill typically contains: skill-name/ ├── SKILL.md # Core description (required) ├── scripts/ # Executable scripts ├── references/ # Documents or knowledge └── assets/ # Additional resources The most important part is **SKILL.md**. Example: ```markdown --- name: video-tool description: Video processing CLI for editing and transcribing videos --- # Video Tool Skill Use the video-tool CLI to process videos. ## Quick Start video-tool video download -u URL video-tool generate transcript -i video.mp4 The role of **SKILL.md** is to teach Claude how to use a certain tool or complete a certain process. ### Install skill-creator First, install Anthropic's skills collection. ```bash npx skills add https://github.com/anthropics/skills --skill skill-creator Or: ```bash claude install anthropics/skills/skill-creator After installation, you can invoke it in Claude: ```bash /skill-creator !(#) skill-creator provides a complete Skill development toolchain. After installation, it will be downloaded locally, containing: skills/skill-creator/ ├── SKILL.md ← Core description file ├── agents/ ← Built-in review assistants ├── eval-viewer/ ← Test result visualization tool ├── references/ ← Reference documents (data format descriptions, etc.) └── scripts/ ← Automation scripts (packaging, evaluation, etc.) The workflow of Skill Creator can be summarized as a loop: Clarify requirements ↓ Draft SKILL.md ↓ Design test cases ↓ Run tests (with Skill vs without Skill, compare results) ↓ Evaluate results (view reports + score) ↓ Revise SKILL.md based on feedback ↓ Repeat until satisfied ↓ Package into .skill file --- ## Creating Skills with skill-creator ### Requirement Inquiry Claude will first ask you a few questions to help you think through your requirements. You don't need to provide all details at once; just answer like a chat. **Claude typically asks:** 1. What does this Skill specifically do? 2. When is it triggered (what does the user say, what files are uploaded)? 3. What is the output format? 4. Are there any special requirements (fixed templates, specific format standards...)? **Example conversation:** > **You:** I want to make a Skill that organizes meeting recording transcripts into structured meeting minutes. > > **Claude:** Okay, let me ask a few questions to help clarify your requirements: > 1. What should the minutes include? (e.g., time, participants, decisions, action items...) > 2. What output format: Word document, Markdown, or directly in the chat? > 3. Is there a fixed minutes template? > > **You:** Needs to include meeting topic, time, participants, discussion points, decision items, and next steps (with responsible person and deadline). Output as Word document. Yes there's a template, I'll upload it. !(#) You can press Tab or arrow keys to switch menu details and submit. Your goal at this stage: explain all details and edge cases clearly, don't skip anything. Most pitfalls encountered during later testing stem from unclear requirements here. You can also just press Enter, and it will help us create: !(#) Afterwards, Claude will write a SKILL.md draft, roughly like this: !(#) Next, it will also create reference files: !(#) After creation is complete, it will verify whether the skill structure is correct, just wait. Verification passed! It will package the Skill and display the directory structure: !(#) Let's test it, input meeting content: Organize the following meeting minutes: I. Basic Meeting Information Meeting Topic: Learning Platform Content Optimization Meeting Attendees: Zhang San, Li Si, Wang Wu Meeting Time: 2025-XX-XX 14:00-15:00 Recorder: Zhang San II. Meeting Content Discussed case materials used in programming teaching, unanimously agreed that tutorial tutorials are concise and easy to understand, suitable for beginners. Determined that subsequent internal training will prioritize using basic syntax and practical small cases from tutorial for explanation. Arranged for Li Si to organize high-frequency knowledge points of Python and Java from tutorial, forming an internal quick reference document. Next meeting will check document completion status. III. Action Items Li Si: Organize tutorial core knowledge points document, complete by next Monday. All: Familiarize yourselves with corresponding tutorial chapters in advance for next discussion. !(#)