--- 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.