How to Create OpenClaw Skills: A Practical Guide
Your OpenClaw agent is smart out of the box. But "smart" and "useful for your specific workflow" are two different things.
That gap is where skills come in. A skill turns your general-purpose agent into a specialist β one that knows your SEO checklist, your deployment pipeline, your content style guide, your exact way of doing things. And once you build a skill, it works every time, across every session, without you re-explaining anything.
This guide walks you through creating OpenClaw skills from scratch. No theory dumps. By the end, you'll have a working skill and a clear mental model for building more.
What Are OpenClaw Skills (And Why Should You Care)?
An OpenClaw skill is a self-contained package of instructions, scripts, and reference files that teaches your agent how to handle a specific type of task. Think of it as onboarding documentation β except your agent actually reads it and follows it perfectly.
Without skills, every session starts from zero. You explain your process, your agent does the work, and next time you explain it all over again. Skills fix that loop.
Here's what a skill gives you:
- Consistency. Your agent follows the same process every time β no drift, no forgotten steps.
- Speed. No more re-explaining. The agent reads the skill file and gets to work.
- Portability. Share skills across agents, across machines, or publish them on ClawHub for others to use.
- Composability. Skills stack. Your SEO writing skill can reference your keyword research skill, which can call your competitor analysis script.
If you're running any kind of repeatable workflow β content creation, site deployment, data processing, monitoring β you need skills.
What Makes a Good Reusable Skill
Before we build anything, let's talk about what separates a useful skill from a bloated one.
Good skills are concise. Every token in your skill file competes for space in the context window with your conversation, other skills, and the system prompt. If your agent already knows how to write Python, don't explain Python syntax in your skill. Only include what the agent can't figure out on its own.
Good skills match freedom to fragility. Some tasks need exact scripts (rotating a PDF, calling a specific API). Others need loose guidance (writing a blog post in a certain tone). Match the level of prescription to how much the task can tolerate variation.
Good skills use progressive disclosure. Put the essentials in the main file. Stash detailed references, schemas, and examples in separate files that the agent loads only when needed. This keeps your context window lean.
Here's a quick litmus test: if you removed a paragraph from your skill and the agent would still do the job correctly, remove it.
Anatomy of an OpenClaw Skill
Every skill lives in its own folder. The only required file is SKILL.md. Everything else is optional.
my-skill/
βββ SKILL.md # Required β instructions + metadata
βββ scripts/ # Optional β executable code
β βββ check_seo.py
βββ references/ # Optional β docs loaded on demand
β βββ style-guide.md
βββ assets/ # Optional β templates, images, etc.
βββ post-template.md
SKILL.md: The Brain
This is the file your agent reads. It has two parts:
Frontmatter (YAML at the top) β tells OpenClaw when to activate the skill:
---
name: seo-writing
description: Write SEO-optimized blog posts following our house style and checklist. Use when creating new articles, optimizing existing content, or reviewing drafts for SEO compliance.
---
The description field is critical. It's how OpenClaw decides whether to load your skill for a given task. Be specific about what the skill does and when it should trigger. Vague descriptions mean your skill gets ignored when it shouldn't β or loaded when it's irrelevant.
How to Write a Trigger Description That Actually Works
A weak skill description says what the skill is. A strong one says when the skill should activate.
Use this formula:
- What it does β the task category
- When to use it β the real situations that should trigger it
- What not to use it for β nearby tasks that belong elsewhere
- Trigger phrases β plain-English prompts users are likely to type
A practical pattern looks like this:
description: >
Write and optimize SEO content for websites.
Use when creating blog posts, rewriting landing pages, improving title/meta/H1-H3 structure,
or reviewing on-page SEO.
NOT for: technical deployments, backlink outreach, or keyword data collection.
Triggers on: 'write blog', 'optimize SEO copy', 'meta description', 'title tag',
'on-page SEO', 'rewrite landing page'.
If you only describe the domain, your skill stays vague. If you describe the moments when it should wake up, your agent becomes dramatically more reliable.
Body (Markdown) β the actual instructions your agent follows. This only loads after the skill triggers, so don't waste space here on "when to use this skill" β that belongs in the description.
Scripts: Deterministic Reliability
Put code in scripts/ when you need the same operation done the exact same way every time. A Python script that checks keyword density, a bash script that deploys to Cloudflare, a Node script that validates structured data β these belong in scripts.
The agent can run these without even reading them into context, saving precious tokens.
References: On-Demand Knowledge
Use references/ for detailed documentation the agent might need but doesn't always need. Database schemas, API docs, brand guidelines, competitor analysis templates β anything that's too long for SKILL.md but too important to leave out entirely.
Reference your files from SKILL.md so the agent knows they exist:
## Brand Voice
For detailed tone and style rules, see [references/brand-voice.md](references/brand-voice.md).
Assets: Output Resources
Files that go into the final output β templates, images, boilerplate code β live in assets/. The agent uses them without loading them into context.
Build Your First OpenClaw Skill: Step by Step
Let's build a real skill. We'll create an SEO blog writing skill that enforces a specific checklist every time your agent writes an article.
Step 1: Define What the Skill Does
Before touching any files, answer these questions:
- What task does this skill handle? β Writing SEO-optimized blog posts
- What would the agent get wrong without it? β Missing meta descriptions, inconsistent header structure, forgetting internal links
- What triggers should activate it? β When asked to write a blog post, article, or content piece
Step 2: Create the Skill Folder
mkdir -p skills/seo-blog-writer/scripts
mkdir -p skills/seo-blog-writer/references
Step 3: Write the SKILL.md
Here's a practical example:
---
name: seo-blog-writer
description: Write SEO-optimized blog posts with proper keyword placement, meta tags, header hierarchy, and internal linking. Use when creating new blog articles, drafting content briefs, or optimizing existing posts for search.
---
# SEO Blog Writer
## Pre-Writing Checklist
1. Confirm target keyword and 3-5 long-tail variants
2. Analyze SERP top 10 for content gaps
3. Determine search intent (informational vs transactional)
## Writing Standards
- Title: include primary keyword, 50-60 characters
- Meta description: include keyword, 150-155 characters, with CTA
- H1: one per page, contains primary keyword
- H2/H3: clear hierarchy, each H2 targets a long-tail variant
- First 100 words: must include primary keyword naturally
- Keyword density: 2-3%, never forced
## Internal Linking
- Minimum 2-3 internal links per article
- Anchor text uses target keywords (never "click here")
## Image Requirements
- Every image needs descriptive alt text with keyword
- File names use keywords (e.g., `seo-checklist-2026.webp`)
- Hero image required for every post
## Quality Checks
Run `scripts/check_seo.py` on the final draft to validate:
- Keyword density
- Meta tag lengths
- Header hierarchy
- Internal link count
For detailed style rules, see [references/writing-style.md](references/writing-style.md).
Notice what's not in there: no explanation of what SEO is, no tutorial on markdown formatting, no generic writing advice. The agent already knows all that. The skill only adds what's specific to your workflow.
Step 4: Add Supporting Files
Create a simple validation script:
# scripts/check_seo.py
import sys
import re
def check_article(filepath):
with open(filepath, 'r') as f:
content = f.read()
issues = []
# Check meta description length
meta_match = re.search(r'description:\s*"(.+?)"', content)
if meta_match:
desc_len = len(meta_match.group(1))
if desc_len > 155:
issues.append(f"Meta description too long: {desc_len} chars (max 155)")
else:
issues.append("Missing meta description")
# Check H1 count
h1_count = len(re.findall(r'^# ', content, re.MULTILINE))
if h1_count != 1:
issues.append(f"Expected 1 H1, found {h1_count}")
# Check internal links
internal_links = re.findall(r'\[.+?\]\(/[^)]+\)', content)
if len(internal_links) < 2:
issues.append(f"Only {len(internal_links)} internal links (minimum 2)")
if issues:
print("SEO Issues Found:")
for issue in issues:
print(f" β {issue}")
else:
print("β
All SEO checks passed")
if __name__ == "__main__":
check_article(sys.argv[1])
Add a reference file for your writing style:
<!-- references/writing-style.md -->
# Writing Style Guide
- Short paragraphs: 2-3 sentences max
- Use active voice
- Address the reader directly ("you")
- Include a hook in the first paragraph
- End with a clear CTA
- Flesch Reading Ease: aim for 60+
Step 5: Test It
The best way to test a skill is to use it. Ask your agent to write a blog post and see if it follows every step in your checklist. Watch for:
- Did it check keyword density?
- Did it structure headers correctly?
- Did it include internal links?
- Did it run the validation script?
If something's off, update the skill and try again. Skills improve through iteration, not through planning.
Real Use Cases: What People Actually Build
Skills aren't theoretical. Here are workflows that real OpenClaw users automate with custom skills.
SEO Content Pipeline
A skill that takes a keyword brief and produces a fully optimized article β complete with meta tags, header structure, internal links, and image alt text. Pair it with a keyword research skill and you've got a content machine that runs on autopilot.
Site Deployment Automation
A skill that handles your entire deployment flow: build the project, run tests, push to Cloudflare Pages or Vercel, verify the live URL, and report back. No more copy-pasting terminal commands.
Competitor Monitoring
A skill that periodically checks competitor sites for new content, pricing changes, or feature updates. It scrapes, summarizes, and flags anything worth your attention.
Multi-Language Content Management
A skill that takes your English content and manages translation workflows β not just translating, but adapting tone, checking cultural references, and maintaining consistent terminology across languages.
Server Health Checks
A skill that runs security audits, checks SSL certificates, monitors uptime, and alerts you when something needs attention. Think of it as a sysadmin that never sleeps.
Each of these started as someone re-explaining the same process to their agent over and over. Then they wrote a skill, and the problem disappeared.
Common Mistakes to Avoid
After watching dozens of people build their first skills, these are the patterns that cause the most pain.
Overloading SKILL.md. Your skill file shouldn't be a novel. If it's over 500 lines, split the details into reference files. The agent loads SKILL.md every time the skill triggers β keep it lean.
Vague descriptions. A description like "helps with writing" won't trigger reliably. Be specific: "Write SEO-optimized product comparison articles for affiliate sites. Use when creating versus/comparison content or product roundups."
Explaining what the agent already knows. Don't teach Python in a Python automation skill. Don't explain what HTML is in a web scraping skill. Focus on what's unique to your workflow.
Skipping the test loop. Writing a skill and assuming it works is like writing code and skipping the tests. Use the skill on a real task, find the gaps, fix them, repeat.
Hardcoding environment details. Don't put your server IP, API keys, or file paths directly in the skill. Use references or environment variables so the skill stays portable.
Creating unnecessary files. A skill doesn't need a README, a CHANGELOG, or an installation guide. It needs SKILL.md and whatever scripts/references/assets actually get used. Everything else is clutter.
Level Up: Publishing Skills on ClawHub
Once you've built a skill that works well, consider sharing it. ClawHub is OpenClaw's marketplace where you can publish, discover, and install skills.
Publishing is straightforward:
clawhub publish ./skills/seo-blog-writer
Your skill gets validated, packaged, and listed. Other OpenClaw users can install it with a single command. If your skill solves a real problem well, it can even generate income β popular skills on ClawHub sell for $19-$49.
Whether you publish or keep your skills private, the process of building them transforms how you work with your agent. You stop repeating yourself and start compounding your automation.
Start Building
You now know the structure, the process, and the pitfalls. The next step is picking one workflow you repeat often and turning it into a skill.
Start small. A 20-line SKILL.md that enforces your deployment checklist is more valuable than a 500-line masterpiece you never finish. Build it, test it, improve it.
If you're new to OpenClaw, our How It Works page breaks down the full system. Already running an agent? Check out our free guide for strategies to turn your setup into a revenue stream. And if you want structured learning, our courses go deep on multi-agent architecture and skill design.
The agents that do the best work aren't the ones with the biggest models. They're the ones with the best skills. Now go build yours.