linear-webhook
Comment @mason or @eureka in Linear issues to dispatch tasks to agents. Webhook receives Linear comments and routes to correct agent.
Best use case
linear-webhook is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Comment @mason or @eureka in Linear issues to dispatch tasks to agents. Webhook receives Linear comments and routes to correct agent.
Teams using linear-webhook should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/linear-webhook/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How linear-webhook Compares
| Feature / Agent | linear-webhook | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Comment @mason or @eureka in Linear issues to dispatch tasks to agents. Webhook receives Linear comments and routes to correct agent.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
Best AI Skills for Claude
Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.
Top AI Agents for Productivity
See the top AI agent skills for productivity, workflow automation, operational systems, documentation, and everyday task execution.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
SKILL.md Source
# Linear Webhook Skill
Enables Linear issue comment @mentions to dispatch tasks to Clawdbot agents.
## How It Works
1. **Comment in Linear:** `@mason implement user authentication` or `@eureka plan Q2 roadmap`
2. **Linear webhook fires** on comment creation
3. **Clawdbot receives webhook** via exposed endpoint
4. **Transform parses payload:**
- Extracts @mason or @eureka mention
- Gets issue context (title, description, labels)
- Prepares task prompt
5. **Routes to agent session:**
- @mason → `mason` agent (code/implementation)
- @eureka → `eureka` agent (planning/strategy)
6. **Agent processes task** and returns result
7. **Result posted back** as Linear comment
## Setup
### 1. Configure Clawdbot Webhooks
Add to your `config.json5`:
```json5
{
hooks: {
enabled: true,
token: "your-secret-token-here", // Generate with: openssl rand -base64 32
path: "/hooks",
transformsDir: "/home/sven/clawd-mason/skills/linear-webhook",
mappings: [
{
name: "linear",
match: {
path: "/linear",
method: "POST"
},
action: "agent",
transform: {
module: "./linear-transform.js",
export: "transformLinearWebhook"
},
deliver: false, // Don't auto-deliver to chat - Linear comments handle responses
}
]
}
}
```
### 2. Expose Webhook Endpoint
Use Cloudflare Tunnel or Tailscale Funnel to make webhook publicly accessible:
**Option A: Cloudflare Tunnel** (Recommended)
```bash
# Install if needed
brew install cloudflared
# Start tunnel (replace with your domain)
cloudflared tunnel --url http://localhost:18789
```
**Option B: Tailscale Funnel**
```bash
# Enable funnel
tailscale funnel 18789
```
Note the public URL (e.g., `https://your-tunnel.trycloudflare.com`)
### 3. Configure Linear Webhook
1. Go to Linear Settings → API → Webhooks
2. Click "Create new webhook"
3. Set URL: `https://your-tunnel.trycloudflare.com/hooks/linear`
4. Add custom header: `x-clawdbot-token: your-secret-token-here`
5. Select events: **Comment → Created**
6. Save webhook
### 4. Test
Comment in a Linear issue:
```
@mason add user authentication to the login page
```
Expected flow:
1. Webhook fires to Clawdbot
2. Mason agent receives task
3. Mason implements or responds
4. Result posted back to Linear issue as comment
## Agent Routing
- **@mason** → Code implementation, debugging, technical tasks
- **@eureka** → Planning, strategy, research, communication
- Other mentions → Ignored (not handled)
## Issue Context Provided
The agent receives:
- Issue title
- Issue description
- Issue labels
- Comment text (the @mention)
- Issue URL
- Commenter name
## Customization
### Add More Agents
Edit `linear-transform.js`:
```javascript
const AGENT_MENTIONS = {
'@mason': 'mason',
'@eureka': 'eureka',
'@designer': 'designer', // Add your own agents
};
```
### Change Response Behavior
Modify `deliver` and `channel` in config:
```json5
{
deliver: true,
channel: "telegram",
to: "1878354815", // Your Telegram chat ID
}
```
This will also send agent responses to Telegram.
## Security
- **Never commit hook token** to version control
- Use environment variables: `CLAWDBOT_HOOK_TOKEN`
- Verify webhook source (Linear's IP ranges if needed)
- Use HTTPS only (Cloudflare Tunnel provides this)
## Troubleshooting
### Webhook not firing
- Check Linear webhook logs (Settings → API → Webhooks → View logs)
- Verify tunnel is running: `curl https://your-tunnel.trycloudflare.com/hooks/linear`
- Check Clawdbot logs: `clawdbot gateway logs`
### Agent not responding
- Check transform is loading: Look for errors in gateway logs
- Verify agent session exists: `clawdbot sessions list`
- Test transform manually: `node linear-transform.js`
### Response not posting to Linear
- Implement Linear API comment posting in transform
- Add Linear API token to config
- See `linear-transform.js` for example
## Linear API Access
To post comments back to Linear, you need a Linear API token:
1. Go to Linear Settings → API → Personal API keys
2. Create new token with `write` scope
3. Add to environment: `CLAWDBOT_LINEAR_API_KEY=lin_api_...`
4. Transform will use this to post responses
## Files
- `SKILL.md` - This documentation
- `linear-transform.js` - Webhook payload parser and agent router
- `linear-api.js` - Linear GraphQL API client (for posting comments)
- `example-payload.json` - Sample Linear webhook payload for testing
## References
- [Clawdbot Webhook Docs](/automation/webhook)
- [Linear Webhooks API](https://developers.linear.app/docs/graphql/webhooks)
- [Cloudflare Tunnel](https://developers.cloudflare.com/cloudflare-one/connections/connect-apps/)Related Skills
linear-todos
A CLI tool that executes Python source code to manage todos via Linear's API. Creates tasks with natural language dates, priorities, and scheduling. This is a source-execution skill - code in src/linear_todos/ runs when commands are invoked.
---
name: article-factory-wechat
humanizer
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
find-skills
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
tavily-search
Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.
baidu-search
Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.
agent-autonomy-kit
Stop waiting for prompts. Keep working.
Meeting Prep
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
self-improvement
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
botlearn-healthcheck
botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.
linkedin-cli
A bird-like LinkedIn CLI for searching profiles, checking messages, and summarizing your feed using session cookies.
notebooklm
Google NotebookLM 非官方 Python API 的 OpenClaw Skill。支持内容生成(播客、视频、幻灯片、测验、思维导图等)、文档管理和研究自动化。当用户需要使用 NotebookLM 生成音频概述、视频、学习材料或管理知识库时触发。