Claude Code Skills: The Complete Guide to Building Your Own AI Automation Workflows
Skills package your prompts, rules, processes, and examples into reusable AI workflows so Claude Code, Codex, and AI agents follow your methods consistently. A hands-on guide from setup to real use cases.
作者：Kevin Kuo · ·
The point of a Skill is not writing one more prompt. It is organizing your process, rules, examples, and quality criteria into a working method the AI can follow repeatedly — which makes Claude Code, Codex, and AI agents dramatically more stable.
Before I used Skills, every AI request came with a pile of repeated instructions. Writing a blog post: "use Traditional Chinese", "no em dashes", "add the author bio at the end", "include JSON-LD structured data" — every single time. Producing an Instagram Reels script: "the hook must land in 3-5 seconds", "each feature gets 3-8 seconds", "end with a CTA", "output as JSON" — explained from scratch, every time. Exhausting.
Then I discovered these rules can live in a Skill document. Once the AI reads it, it follows the specification automatically. No repeated briefings, and a large amount of communication overhead disappears.
What is a Skill?
A Skill is a document describing how you want the AI to do a particular job. When the document is loaded, the AI understands the rules inside and follows them. Think of it as an SOP written for AI — or a smarter kind of automation.
I treat a Skill as reusable working instructions. It is a different layer from a node workflow; n8n also offers AI Agent nodes that can select connected tools.
Why I use Claude Code
To be clear: Skills are not exclusive to Claude Code — any tool that supports Agent Skills can use them. I chose Claude Code because it feels smooth, has abundant learning resources, and makes API calls and script execution convenient. If you prefer another tool, the Skill concept transfers directly.
Life with and without Skills
| Scenario | Without a Skill | With a Skill |
|---|---|---|
| Writing a blog post | Repeat every rule: language, author bio, formatting, JSON-LD | Say "write me an article" and the AI follows the spec |
| Producing an IG Reels script | Re-explain structure, timing, output format each time | Type /ig-script and get a complete templated script |
| Scheduling social posts | Copy content into the scheduler manually, set times, repeat | AI calls the API and schedules posts across platforms |
| Collecting web data | Open browser, copy-paste, organize by hand | AI crawls, organizes, and emails the result to the right person |
The difference is stark: without Skills you re-explain the rules every time; with Skills the rules are written once and reused forever.
Chat mode, Agent runtime, and Skill instructions
These are different layers, not competing product names. ChatGPT agent can use tools; a plain chat session without tools normally gives you information to execute yourself.
| Layer | What it provides | What determines actions |
|---|---|---|
| Plain chat mode | Answers and instructions | Available tools and mode settings |
| Agent runtime with tools | Planning plus permitted file, browser, code, or API operations | Tool access, credentials, and permissions |
| Skill instruction package | Reusable procedures, examples, and checks | The supporting runtime; the file itself grants no access |
How Skills and node workflows fit together
I use automation platforms and Skills for different parts of a workflow. A traditional node flow defines explicit steps and conditions. An n8n AI Agent node can choose among connected tools based on its input. A Skill packages instructions and checks for a supporting runtime. All need appropriate credentials and permissions; scheduled execution also needs a scheduler.
Editing a writing rule may only require a Skill change. Changing an API or execution behavior can still require code, integration updates, and testing.
Skills I actually use
| Skill | What it does | Trigger |
|---|---|---|
| ghost-seo | Blog publishing, SEO optimization, content format rules | Mentions of "write an article", "publish", "Ghost" |
| ig-script-generator | IG Reels script ideation, structured JSON output | /ig-script or mentions of "Reels script" |
| ig-video-maker | Automated IG Reels video assembly | /ig-video-maker or mentions of "make a Reel" |
| publer-quick-post | Scheduling social posts across platforms | Mentions of "post", "schedule", "social" |
SEO-aware blog publishing
My ghost-seo Skill defines every format rule for blog posts: structure (two to three intro paragraphs, H2/H3 organization, author bio at the end), SEO elements (meta description, JSON-LD, internal links), writing style, and API integration that creates drafts directly through the Ghost Admin API. Now "write me an article about X" produces a spec-compliant draft straight into the Ghost admin, SEO details handled.
Social post scheduling
Every week I publish a newsletter and then split it into social posts for several platforms. That used to mean copying content, adjusting format, and logging into each platform separately. Now one Skill splits the newsletter into social-friendly formats, adjusts to each platform's length limits, and schedules everything through the Publer API. I say "schedule this week's newsletter to social" and the AI handles the rest.
Automated data collection and email reports
A more advanced case: a Skill that periodically crawls specific sites, filters for matching content, organizes a summary, and emails it to me or teammates through an email API. Define the logic in a Skill, trigger it with a scheduler, and the task is fully automated.
Your first Skill: a copyable minimal example
Install and sign in to Claude Code first. This example summarizes pasted notes; it needs no API key, external service, or additional tool.
- In your project, create
.claude/skills/note-summary/SKILL.md. For personal use across projects, use~/.claude/skills/note-summary/SKILL.md. - Save this UTF-8 file. The block between the two
---lines is YAML frontmatter.
---
name: note-summary
description: Summarize work notes supplied by the user into three points and explicit tasks.
disable-model-invocation: true
---
Use only the text supplied after this command. Do not read files or call tools.
Return three summary points followed by tasks.
If no notes were supplied, ask the user to paste them.
Include only stated facts. Mark missing owners or dates as unspecified.
Do not publish, send messages, or execute tasks.
Open Claude Code in that project and enter /note-summary Cover draft completed. Check the copy tomorrow; owner undecided.. Expected behavior: report the completed draft, list the copy check as a task, and keep the owner unspecified.
Check loading by typing / and finding note-summary, then run the example. If absent, check the path, filename case, and frontmatter against Claude Code Skills documentation. See the Agent Skills specification for the shared format; other runtimes may use different paths and extensions.
Files, APIs, schedules, and publishing need separately configured tools, credentials, and permissions. A Skill cannot grant those capabilities.
How to build your own Skill
You do not need to code. A Skill is fundamentally a document — you only need to state your rules clearly. Four approaches, simplest to most complete:
Method 1: start from an existing workflow
The most intuitive path. Take something you do repeatedly and tell the AI: "Every blog post I write starts with two to three intro paragraphs, uses H2 sections, ends with an author bio and related reading, needs a meta description, and never uses em dashes. Can you organize these rules into a Skill?" The AI formats the rules into a Skill — no technical detail required from you.
Method 2: adapt someone else's Skill
Anthropic's official GitHub has many ready-made Skill examples. Find one close to your need, download it, and ask the AI to adapt it. Much faster than starting from zero, and you learn how others structure theirs.
Method 3: use a Skill-building Skill
Install skill-creator — a Skill purpose-built for creating Skills, covering requirement discovery, structure planning, and file output. Type /skill-creator or say you want to build a Skill, and it walks you through with questions. Reference: the skill-creator folder in the anthropics/skills repository on GitHub.
Method 4: iterate on a Skill you already use
When something does not fit — "the titles this Skill produces are too long; keep them under 20 characters" — just ask the AI to amend the rule. Skills are cheap to change; no pipeline rebuild.
Resources
| Resource | Type | Notes |
|---|---|---|
| anthropics/skills | Official examples | Anthropic's collection of Skill examples across scenarios |
| Claude Code Docs | Official docs | Complete technical documentation and configuration options |
| Best Practices | Guide | Best practices for authoring Skills |
| skill-creator | Helper Skill | A Skill for building new Skills with a guided flow |
| Anthropic Blog | Engineering articles | Design thinking behind Skills from Anthropic's engineers |
Start with the official example repository — it has plenty of practical cases to learn from.
Summary
The biggest value of Skills for me is turning repeated briefing into reusable instructions. Execution still depends on the runtime, tools, and permissions. Both Skills and node-based automation can include an Agent; choose the combination that fits your task, then verify its results.
