Skills are what separate a basic OpenClaw installation from a genuinely capable agent. Without them, you're working with a powerful but generic AI assistant. With the right skills, you're working with a specialist who knows exactly how you operate, what tools you use, and how to get things done in your specific context.
This guide covers everything: what skills actually are, where to find them, how to evaluate whether they're safe to install, and which ones are worth your time.
What Are OpenClaw Skills?
Skills are markdown (.md) files that your agent can read and follow. They encode a specific workflow, process, or capability — essentially turning "how to do X" into something your agent can reliably repeat.
They live in a dedicated skills folder, organised by category. Your agent references them automatically when relevant, or you can explicitly tell it to use a particular skill.
Three types of skills:
- Built-in skills — OpenClaw ships with approximately 50 of these out of the box. You can enable or disable them as needed.
- Workspace skills — skills you've created, customised, or installed specifically for your setup
- Other skills — community-published skills installed from ClawHub, GitHub, or elsewhere online
You can have as many skills as you like. They're small files and don't meaningfully impact performance.
Why Skills Are Worth Caring About
1. Consistency
Without a skill, every time you want your agent to do something specific, you're hoping it remembers how you like it done. With a skill, you get the same output, the same style, the same process — every time.
Example: if your agent creates presentations in a particular visual style, you can capture that style in a skill. Future presentations will match it without any re-explanation.
2. Persistence Across Conversations
Conversation history gets wiped. Skills don't. Whatever your agent learned about how to do something — the exact steps, the format you prefer, the API calls involved — all of that survives in a skill file even after the session ends.
This is especially important for complex workflows. You don't want to re-teach your agent how to run your email sequence or publish to your CMS every time you start a new session.
3. Token Efficiency
Every time you explain a complex workflow in a message, you're spending tokens. A skill can encode that workflow in a fraction of the tokens, because your agent reads it directly rather than having you describe it from scratch.
The difference can be significant — a 500-token explanation of a workflow you give repeatedly versus a 24-token skill invocation that achieves the same result.
4. Reliable Complex Execution
When you're asking your agent to run a multi-step process — execute a script, call multiple APIs, format the output in a specific way — the risk of variance increases with complexity. A well-written skill reduces that variance. The steps are documented. The agent follows them.
Where to Find Skills
ClawHub (clawhub.ai)
This is the primary marketplace for community-built OpenClaw skills. You can browse by category, search for specific capabilities, and install with a single command.
Installation is straightforward: copy the install command from ClawHub, paste it into your terminal, or paste the skill link to your agent and ask it to install it.
Categories worth exploring:
- Web search and research — skills that give your agent better, faster, or more structured web access
- Development tools — GitHub integration, code review workflows, deployment scripts
- Content and communication — email handling, social media, content formatting
- Productivity — calendar integration, task management, scheduling
- Data — web scraping, Google Sheets, data formatting
GitHub
Many developers publish their skills on GitHub before or instead of ClawHub. Searching "OpenClaw skills" on GitHub surfaces a range of options, often more technical than what you'd find on ClawHub.
Building Your Own
If you can't find a skill that does exactly what you need, ask your agent to build one. Describe the workflow you want to automate, the steps involved, and the format you expect. Your agent will produce an .md file you can install and refine.
How to Verify That a Skill Is Safe
This is not optional. Community-published skills can contain malicious code. People have installed skills that prompted the agent to exfiltrate data, execute unwanted scripts, or inject misleading instructions into the agent's behaviour.
Before installing any skill from outside OpenClaw's built-in library:
Read the File Yourself
Skills are markdown files — plain text. Open the file before installing it and read through it. You don't need to be a developer to notice red flags:
- Instructions to send data to an external server you don't recognise
- Requests for credentials or API keys that the skill doesn't obviously need
- Vague or obfuscated language about what the skill actually does
If you can't understand what a skill does from reading it, don't install it.
Use a Security Audit Skill
There are community-built skills specifically designed to audit other skills before installation. Skill Guard is one — it runs an eight-step security check including dependency analysis, prompt injection pattern detection, and a comparison between what the skill claims to do and what it actually does.
Install a skill auditor before you start installing anything else. Paste the skill you want to evaluate and ask your agent to run the audit. You'll get a rating: safe, caution advised, or risky.
Trust Signals
- Skills from verified developers with public GitHub histories are lower risk
- Skills that are widely used and reviewed have more community scrutiny
- Brand-new skills from anonymous accounts with no community feedback deserve more caution
Top Skills Worth Installing
Here's a practical starter set for most OpenClaw users:
Web Search (Tavily or Brave) Gives your agent real, fast web search capability. Essential for any research-heavy workflow.
Last 30 Days Searches Reddit, X, YouTube, and the web from the past 30 days on any topic you specify. Useful for staying current on trends in your industry without active effort.
GitHub Integration Allows your developer agent to interact with repositories — reading issues, reviewing PRs, pushing branches. If you do any development work, this is a high-value addition.
Google Calendar Lets your agent read and create calendar events. Unlocks meeting prep automation, scheduling assistance, and schedule-aware reminders.
Image Generation Connect a Gemini or similar API key and your agent can generate images directly. Useful for content creation, design mockups, and presentation assets.
Text-to-Speech With an ElevenLabs API key, your agent can send voice messages instead of text. Useful when you're on the move and don't want to read.
Skill Detector (Meta Skill) This one watches your interaction patterns and identifies workflows you're repeating manually that would benefit from a dedicated skill. It proactively suggests when a new skill should be created based on your usage. Genuinely useful for building out your skill library organically over time.
Building Skills That Match How You Work
The most powerful skills aren't the generic ones from a marketplace — they're the ones built specifically around how you operate.
A few questions worth asking:
What do I explain to my agent repeatedly? Any time you find yourself re-explaining a workflow or preference, that's a candidate for a skill.
What complex processes do I want to run reliably? If a task has more than three steps and you want it done the same way every time, write it into a skill.
What tools do I use regularly? Any tool with an API can have a skill that teaches your agent how to interact with it correctly.
The goal is an agent that doesn't need re-training every session. The more complete your skill library, the more your agent arrives pre-equipped to do useful work — regardless of what you talked about last time.
Skill Categories to Build Over Time
If you're just getting started, a reasonable progression:
- Start with security. Install a skill auditor before anything else.
- Add web search. This unlocks research, monitoring, and current-events awareness.
- Add your most-used tools. Whatever you spend the most time in — calendar, email, GitHub, spreadsheets — build or find a skill for it.
- Add content and communication skills once your core workflows are established.
- Build custom skills for the repetitive workflows that don't have an off-the-shelf option.
Skills compound. Each one added makes the agent more capable without adding cognitive overhead. Over time, the skill library becomes one of the most valuable parts of your OpenClaw setup — and unlike conversations, it never resets.
Related guides: Making OpenClaw 10x More Powerful | Reducing OpenClaw Token Costs | Multi-Agent Setup