The Linear Webhook Skill enables users to trigger specialized AI agents by simply @mentioning them within Linear issue comments.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linear-webhook
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install linear-webhook using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Linear Webhook Skill is a specialized integration designed to bridge the gap between project management and autonomous execution. By leveraging this tool among your Openclaw Skills, you can turn your Linear issue tracker into a command center for AI agents. When a user mentions a specific agent in a comment, the skill captures the context of the issue and routes the task to the appropriate agent session.
This skill is particularly valuable for teams using Clawdbot agents like mason for technical implementation or eureka for high-level strategy. It ensures that your project metadata, labels, and descriptions are seamlessly passed to the AI, allowing for highly contextualized and accurate task processing without leaving the Linear interface.
Add the webhook configuration to your config.json5 file:
{
hooks: {
enabled: true,
token: "your-secret-token",
path: "/hooks",
transformsDir: "./skills/linear-webhook",
mappings: [
{
name: "linear",
match: { path: "/linear", method: "POST" },
action: "agent",
transform: { module: "./linear-transform.js", export: "transformLinearWebhook" }
}
]
}
}
Use Cloudflare Tunnel to make your local instance reachable by Openclaw Skills via the web:
cloudflared tunnel --url http://localhost:18789
In Linear Settings > API > Webhooks, create a new webhook pointing to your tunnel URL (e.g., https://your-tunnel.com/hooks/linear) and select the Comment Created event.
The skill organizes and processes data using a structured transformation layer:
| Field | Description |
|---|---|
issue_context |
Contains the title, description, and labels of the ticket. |
agent_mention |
Identifies the target agent (e.g., mason, eureka). |
payload_metadata |
Includes the commenter's name and the direct URL to the issue. |
api_token |
Securely stored environment variable for posting replies back to Linear. |
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