---
title: "Creating skills"
sidebarTitle: "Creating skills"
summary: "Build, test, and publish custom SKILL.md workspace skills for your OpenClaw agents."
read_when:
- You are creating a new custom skill
- You need a quick starter workflow for SKILL.md-based skills
- You want to use Skill Workshop to propose a skill for agent review
---
Skills teach the agent how and when to use tools. Each skill is a directory
containing a `SKILL.md` file with YAML frontmatter and markdown instructions.
OpenClaw loads skills from several roots in a defined [precedence order](/tools/skills#loading-order).
## Create your first skill
Skills live in your workspace `skills/` folder. Create a directory for your
new skill:
```bash
mkdir -p ~/.openclaw/workspace/skills/hello-world
```
You can group skills in subfolders for organization — the skill is still
named by the `SKILL.md` frontmatter, not the folder path:
```bash
mkdir -p ~/.openclaw/workspace/skills/personal/hello-world
# skill name is still "hello-world", invoked as /hello-world
```
Create `SKILL.md` inside the directory. The frontmatter defines metadata;
the body gives the agent instructions.
```markdown
---
name: hello-world
description: A simple skill that prints a greeting.
---
# Hello World
When the user asks for a greeting, use the `exec` tool to run:
```bash
echo "Hello from your custom skill!"
```
```
Naming rules:
- Use lowercase letters, digits, and hyphens for `name`.
- Keep the directory name and frontmatter `name` aligned.
- `description` is shown to the agent and in slash-command discovery —
keep it one line and under 160 characters.
```bash
openclaw skills list
```
OpenClaw watches `SKILL.md` files under skills roots by default. If the
watcher is disabled or you are continuing an existing session, start a new
one so the agent receives the refreshed list:
```bash
# From chat — archive current session and start fresh
/new
# Or restart the gateway
openclaw gateway restart
```
Send a message that should trigger the skill:
```bash
openclaw agent --message "give me a greeting"
```
Or open a chat and ask the agent directly. Use `/skill hello-world` to
invoke it explicitly by name.
## SKILL.md reference
### Required fields
| Field | Description |
| ------------- | --------------------------------------------------------------- |
| `name` | Unique slug using lowercase letters, digits, and hyphens |
| `description` | One-line description shown to the agent and in discovery output |
### Optional frontmatter keys
| Field | Default | Description |
| -------------------------- | ------- | -------------------------------------------------------------------------------- |
| `user-invocable` | `true` | Expose the skill as a user slash command |
| `disable-model-invocation` | `false` | Keep the skill out of the agent's system prompt (still runs via `/skill`) |
| `command-dispatch` | — | Set to `tool` to route the slash command directly to a tool, bypassing the model |
| `command-tool` | — | Tool name to invoke when `command-dispatch: tool` is set |
| `command-arg-mode` | `raw` | For tool dispatch, forwards the raw args string to the tool |
| `homepage` | — | URL shown as "Website" in the macOS Skills UI |
For gating fields (`requires.bins`, `requires.env`, etc.) see
[Skills — Gating](/tools/skills#gating).
### Using `{baseDir}`
Use `{baseDir}` in the skill body to reference files inside the skill
directory without hardcoding paths:
```markdown
Run the helper script at `{baseDir}/scripts/run.sh`.
```
## Adding conditional activation
Gate your skill so it only loads when its dependencies are available:
```markdown
---
name: gemini-search
description: Search using Gemini CLI.
metadata: { "openclaw": { "requires": { "bins": ["gemini"] }, "primaryEnv": "GEMINI_API_KEY" } }
---
```
| Key | Description |
| --- | --- |
| `requires.bins` | All binaries must exist on `PATH` |
| `requires.anyBins` | At least one binary must exist on `PATH` |
| `requires.env` | Each env var must exist in the process or config |
| `requires.config` | Each `openclaw.json` path must be truthy |
| `os` | Platform filter: `["darwin"]`, `["linux"]`, `["win32"]` |
| `always` | Set `true` to skip all gates and always include the skill |
Full reference: [Skills — Gating](/tools/skills#gating).
Wire an API key to a skill entry in `openclaw.json`:
```json5
{
skills: {
entries: {
"gemini-search": {
enabled: true,
apiKey: { source: "env", provider: "default", id: "GEMINI_API_KEY" },
},
},
},
}
```
The key is injected into the host process for that agent turn only.
It does not reach the sandbox — see
[sandboxed env vars](/tools/skills-config#sandboxed-skills-and-env-vars).
## Propose via Skill Workshop
For agent-drafted skills or when you want operator review before a skill goes
live, use [Skill Workshop](/tools/skill-workshop) proposals instead of writing
`SKILL.md` directly.
```bash
# Propose a brand-new skill
openclaw skills workshop propose-create \
--name "hello-world" \
--description "A simple skill that prints a greeting." \
--proposal ./PROPOSAL.md
# Propose an update to an existing skill
openclaw skills workshop propose-update hello-world \
--proposal ./PROPOSAL.md \
--description "Updated greeting skill"
```
Use `--proposal-dir` when the proposal includes support files:
```bash
openclaw skills workshop propose-create \
--name "hello-world" \
--description "A simple skill that prints a greeting." \
--proposal-dir ./hello-world-proposal/
```
The directory must contain `PROPOSAL.md`. Support files can go in `assets/`,
`examples/`, `references/`, `scripts/`, or `templates/`.
After review:
```bash
openclaw skills workshop inspect
openclaw skills workshop apply
```
See [Skill Workshop](/tools/skill-workshop) for the full proposal lifecycle.
## Publishing to ClawHub
Make sure `name`, `description`, and any `metadata.openclaw` gating fields
are set. Add a `homepage` URL if you have a project page.
The ClawHub skill documents the current publish command shape and required
metadata:
```bash
openclaw skills install clawhub-publish
```
```bash
clawhub publish
```
See [ClawHub — Publishing](/clawhub/publishing) for the full flow.
## Best practices
- **Be concise** — instruct the model on *what* to do, not how to be an AI.
- **Safety first** — if your skill uses `exec`, ensure prompts do not allow
arbitrary command injection from untrusted input.
- **Test locally** — use `openclaw agent --message "..."` before sharing.
- **Use ClawHub** — browse community skills at [clawhub.ai](https://clawhub.ai)
before building from scratch.
## Related
Loading order, gating, allowlists, and SKILL.md format.
Proposal queue for agent-drafted skills.
Full `skills.*` config schema.
Browse and publish skills on the public registry.
Plugins can ship skills alongside the tools they document.