Building a custom AI assistant that does exactly what you need often means going beyond pre-built integrations. You’ve probably encountered situations where a standard plugin just doesn’t cut it, especially when your workflow involves proprietary APIs or unique data sources. For instance, imagine needing your assistant to query an internal inventory management system and then draft an email to a supplier, all in one go. That’s where OpenClaw Skills come into play, allowing you to define custom actions and logic that your AI can understand and execute.

The core concept behind OpenClaw Skills is defining a structured JSON schema that describes your custom tool or function. This schema tells the AI what the tool does, what parameters it expects, and what kind of output it will produce. Let’s say you want your assistant to interact with a custom internal REST API for fetching customer details. You’d define a skill named something like getCustomerInfo, specifying parameters such as customer_id (string, required) and describing the expected JSON response containing fields like name, email, and last_order_date. The actual implementation of this skill, the code that makes the API call, lives outside the OpenClaw platform but is invoked by OpenClaw based on the schema.

One common pitfall when developing these skills is underestimating the importance of precise parameter descriptions and example responses. If your description field for a parameter is vague, or if your example output doesn’t accurately reflect what the AI will receive, the model might struggle to correctly identify when and how to use your skill. For instance, if customer_id is described merely as “an ID” instead of “the unique identifier for a customer, typically a 7-digit alphanumeric string,” the AI might not infer its usage correctly from a user prompt. A powerful but often overlooked insight is to test your skill definitions not just with perfect inputs, but also with slightly ambiguous user prompts. This helps refine the natural language understanding aspect of your skill, ensuring the AI picks it up even when the user isn’t perfectly explicit.

After defining your skill’s schema, you’ll integrate the actual backend logic. OpenClaw provides various ways to do this, but for external APIs, a common pattern involves exposing your skill as an HTTP endpoint. You then configure OpenClaw to call this endpoint, passing the parameters extracted from the user’s prompt. For debugging, pay close attention to the raw JSON payloads OpenClaw sends to your skill endpoint and the responses it expects back. Mismatches here are a frequent source of “Skill execution failed: Invalid response format” errors. Validate your response structure against your defined schema meticulously.

To start building your first custom skill, refer to the OpenClaw documentation on defining a tool_code for external function calls.

Related: OpenClaw vs Home Assistant: Which Smart Home Hub Is Right for You?

Related: How to Use OpenClaw with Ollama for Local AI (No Cloud Required)

Frequently Asked Questions

Want to automate WordPress with OpenClaw? See our guide to setting up OpenClaw skills for WordPress automation →

One of the most powerful features of OpenClaw is its Skills system. Skills are modular extensions that give your OpenClaw agent new capabilities — from checking the weather to running full coding sessions. If you want to get more out of OpenClaw, understanding skills is essential.

What Are OpenClaw Skills?

Skills are self-contained capability packages that you install into OpenClaw. Each skill comes with its own SKILL.md file that tells the agent exactly how and when to use it. When a task matches a skill’s description, OpenClaw automatically loads and follows the skill’s instructions.

Think of skills like apps on your phone — OpenClaw is the operating system, and skills extend what it can do without modifying the core.

How to Install OpenClaw Skills

Skills live in your OpenClaw installation directory. To install a skill:

1. Download the skill package (usually a folder with a SKILL.md and any supporting files)
2. Place it in your OpenClaw skills directory
3. OpenClaw automatically discovers and loads it on next startup

You can also find community skills on ClawhHub.com — the official skill marketplace.

Built-In Skills That Come With OpenClaw

Coding Agent

Delegates complex coding tasks to Codex, Claude Code, or Pi agents running in the background. Perfect for building new features, reviewing PRs, or refactoring large codebases without blocking your main session.

Weather

Gets current weather and forecasts via wttr.in or Open-Meteo. No API key needed. Just ask “what’s the weather in New York?” and OpenClaw handles it.

Healthcheck

Security hardening and risk-tolerance configuration for OpenClaw deployments. Runs firewall checks, SSH hardening, update status, and more — useful for VPS deployments especially.

MCP Porter

Connects OpenClaw to MCP (Model Context Protocol) servers and tools. Lets you list, configure, and call external services directly from your agent.

Node Connect

Diagnoses OpenClaw node connection and pairing failures. Essential for multi-device setups running OpenClaw across Android, iOS, and macOS.

Skill Creator

Meta-skill that helps you create new skills. Describe what you want the skill to do and it builds the SKILL.md for you.

How OpenClaw Chooses Which Skill to Use

Before responding to any request, OpenClaw scans the descriptions of all installed skills. If one clearly matches the task, it reads that skill’s instructions and follows them. If multiple could apply, it picks the most specific one.

This means skill selection is automatic — you don’t need to explicitly activate a skill. Just ask OpenClaw to do something and it figures out if a skill applies.

Creating Your Own Skills

Custom skills are just folders with a SKILL.md file. The file contains:

• A name and description (what triggers the skill)
• A location (path to the skill folder)
• Instructions for the agent (what to do when triggered)
• Any supporting scripts or reference files

You can create skills for anything repetitive — generating reports, checking APIs, managing files, posting to social media. If you can describe the process in plain language, you can turn it into a skill.

Running Skills 24/7

To get the most value from skills, OpenClaw needs to run continuously. This is where your hardware choice matters. A DigitalOcean droplet (starting at $4/month — new users get $200 credit) is the easiest way to keep OpenClaw running around the clock, with all your skills available at any time.

For local hosting, a Mac Mini or Raspberry Pi 5 running OpenClaw as a background service works well too.

Where to Find More Skills

• ClawhHub.com — official skill marketplace
• The OpenClaw Discord — community-built skills
• GitHub — search “OpenClaw skill”

Skills are what turn OpenClaw from a chat assistant into a genuine autonomous agent. The more skills you install, the more tasks OpenClaw can handle without you. That’s the goal.

🛒 Recommended: Automation Business Book | Productivity Desk Mat

Want to automate WordPress with OpenClaw? See our guide to setting up OpenClaw skills for WordPress automation →

OpenClaw Skills: How to Install and Use Them

Out of the box, OpenClaw can browse the web, read files, run commands, and chat via Telegram. But Skills take it much further. Think of Skills like apps for your AI agent — each one adds a specific new capability. This guide explains how the Skills system works, how to install Skills, and how to get the most out of them.

What Are OpenClaw Skills?

Skills are modular add-ons that extend what your OpenClaw agent can do. They’re typically a folder containing a SKILL.md file with instructions, plus any supporting scripts, templates, or reference data.

When you install a Skill, your agent gains access to new knowledge and new abilities. The SKILL.md file tells your agent when and how to use the Skill — in plain English, not code. This makes Skills accessible to both developers and non-technical users.

Some Skills are general-purpose, while others are highly specialized:

• Weather Skill: Fetch current weather and forecasts for any location
• Coding Agent Skill: Delegate software development tasks to a sub-agent
• Healthcheck Skill: Audit your server’s security and configuration
• MCP Porter Skill: Connect and manage MCP (Model Context Protocol) servers
• Node Connect Skill: Diagnose connection issues with OpenClaw companion apps

How Skills Work

When you send your agent a task, it scans the available Skills to see if any are relevant. If a match is found, the agent reads that Skill’s SKILL.md instructions before proceeding. This gives the agent specialized context it wouldn’t otherwise have.

For example, if you ask about the weather, the Weather Skill tells your agent exactly which API to use, what format to request, and how to present the result clearly. Without the Skill, your agent could figure out weather lookup on its own — but the Skill makes it faster, more consistent, and more accurate.

Where Skills Are Stored

Skills are stored in the OpenClaw package directory, typically:

• Windows: %APPDATA%npmnode_modulesopenclawskills
• macOS/Linux: /usr/local/lib/node_modules/openclaw/skills/

Each Skill is a subfolder with at minimum a SKILL.md file inside it.

Built-In Skills

OpenClaw ships with several Skills pre-installed:

weather

What it does: Gets current weather and forecasts using wttr.in or Open-Meteo APIs (no API key needed).

When it activates: Whenever you ask about weather, temperature, or forecasts for any location.

Example prompts: “What’s the weather in Chicago?” / “Will it rain this weekend in Seattle?”

coding-agent

What it does: Delegates complex coding tasks to a specialized sub-agent (Codex, Claude Code, etc.) that can explore your codebase and build features iteratively.

When it activates: For building new features, reviewing code, refactoring large codebases, or iterative development tasks.

Example prompts: “Build a Python script to parse my invoices” / “Review the code in /projects/myapp and suggest improvements”

healthcheck

What it does: Audits your host’s security configuration — firewall rules, SSH settings, system updates, and overall risk posture.

When it activates: When you ask for security audits, hardening recommendations, or version checks.

Example prompts: “Run a security check on this server” / “What’s my current risk exposure?”

mcporter

What it does: Manages MCP (Model Context Protocol) servers — letting your agent call external tools and services directly.

When it activates: When managing or calling MCP server tools.

node-connect

What it does: Diagnoses connection issues between OpenClaw and companion apps (Android, iOS, macOS).

When it activates: When you have QR code or pairing failures, connection errors, or setup code issues.

skill-creator

What it does: Helps create, edit, improve, or audit Skills themselves — including writing SKILL.md files and organizing Skill directories.

When it activates: When asked to “create a skill,” “improve a skill,” “audit a skill,” etc.

Installing a New Skill

There are two ways to add Skills to OpenClaw:

Method 1: From npm (Official Skills)

If a Skill is published as an npm package, install it with:

npm install -g openclaw-skill-[name]

The Skill will be placed in the correct location automatically.

Method 2: Manually (Custom Skills)

For custom or community Skills:

1. Download or create the Skill folder
2. Place it in the skills/ directory of your OpenClaw installation
3. Make sure it contains a valid SKILL.md file
4. Restart OpenClaw

Creating Your Own Skills

Skills are surprisingly easy to create — the core of any Skill is just a plain text markdown file. A basic SKILL.md contains:

• A description of what the Skill does
• Instructions for when to activate it
• Step-by-step guidance for the agent
• Any relevant reference data, API details, or scripts

You write Skills in plain English. No coding required for basic Skills.

Example: You could create a “social-media” Skill that tells your agent the exact format, hashtags, and tone to use when drafting posts for your brand’s social media accounts.

Use the built-in skill-creator Skill to get help writing new Skills:

Create a Skill for [describe what you want it to do]

Tips for Getting the Most from Skills

• Keep Skills focused: One Skill, one job. Don’t try to cram everything into one SKILL.md
• Test with clear prompts: After installing a Skill, test it with prompts that closely match its description to confirm it activates correctly
• Update regularly: Official Skills may be updated with bug fixes and improvements — keep OpenClaw updated to get them
• Document your custom Skills: If you build a Skill for your own use, write clear notes in the SKILL.md about what it does and what prompts activate it
• Use reference files: Large reference data (like a product catalog or FAQ) can be stored in the Skill’s references/ subfolder and loaded when needed

Skill Ideas for Common Use Cases

Here are some custom Skills worth building for everyday users:

• email-summarizer: Instructions for how to summarize your emails with the right priority levels and format
• social-media: Brand voice, posting schedule, and hashtag guidelines for your social accounts
• research-reporter: A template and process for how to produce research reports on any topic
• client-communications: Tone, phrasing, and protocol for responding to client emails in your freelance business
• daily-briefing: Format and content for your agent’s morning summary

Related Guides

• OpenClaw Beginner’s Guide
• OpenClaw Commands Reference
• OpenClaw for Small Business Owners

🛒 Recommended: Automation Business Book | Productivity Desk Mat

Want to automate WordPress with OpenClaw? See our guide to setting up OpenClaw skills for WordPress automation →