Linear Autopilot

Automate Linear task processing with Discord notifications and git sync. Use when setting up a ka... 核心能力: - 效率工具领域的专业化AI辅助工具 - 基于高人气开源Skill深度优化升级 - 移除风险代码,增强安全性和稳定性 适用场景: - 工作流自动化、任务调度、批处理 - 独立开发者与一人公司效率提升 - 自动化工作流与智能决策辅助 差异化:经过深度优化,去除原始风险代码,清理外部依赖引用,增强元数据和触发关键词,完全适配SkillHub平台规范。 触发关键词: processing, autopilot, linear, task, automate

🔒 Security Note: This skill mentions API keys, tokens, and webhook URLs because it teaches you how to set up integrations with Linear, Discord, and automation services (Make.com, Pipedream, Zapier). These are necessary for the tutorial — the skill does NOT collect or transmit your credentials. All setup happens on your local machine and the services you configure.

Automated pipeline: Linear → Webhook Service → Discord → Clawdbot → Git

Tasks created in Linear automatically trigger Clawdbot processing with real-time notifications and git sync for Obsidian/local access.

Free Tier Limitations

Before setup, be aware of free plan limits:

Service	Free Tier Limits	Recommendation
Linear	250 issues, unlimited members	Sufficient for most personal/small team use
Make.com	1,000 ops/month, 2 scenarios, 15-min interval	✅ Best free option — generous limits
Pipedream	~100 credits (unclear reset), instant triggers	Good if you need real-time, burns credits fast
Zapier	100 tasks/month, 5 zaps, 15-min polling, no webhooks	⚠️ Paid plan required for this workflow

Important notes:

• Make.com offers 1,000 ops/month free — our recommendation for free tier users
• Pipedream has instant webhooks but limited free credits that deplete quickly
• Zapier free plan does NOT support webhooks. You need a paid Zapier plan (Starter+)
• For budget-conscious users: use Make.com

Setup

1. Configure Linear API

Run setup to store your Linear API key:

bash

mkdir -p ~/.clawdbot
echo "LINEAR_API_KEY=lin_api_xxxxx" > ~/.clawdbot/linear.env

Get your API key from: Linear → Settings → API → Personal API keys

2. Get Linear IDs

Find your team and state IDs:

bash

./scripts/linear-api.sh teams    # Get team ID
./scripts/linear-api.sh states   # Get state IDs (Todo, In Progress, Done)

Update ~/.clawdbot/linear-config.json:

json

{
  "teamId": "your-team-id",
  "states": {
    "todo": "state-id-for-todo",
    "inProgress": "state-id-for-in-progress",
    "done": "state-id-for-done"
  },
  "discord": {
    "notifyUserId": "your-discord-user-id",
    "taskChannelId": "your-linear-tasks-channel-id"
  },
  "git": {
    "autoPush": true,
    "commitPrefix": "task:"
  }
}

3. Set Up Webhook Service

Choose your preferred automation platform:

Option A: Make.com (Recommended for free tier)

• 1,000 operations/month free
• 15-minute minimum interval on free tier
• See references/make-setup.md for step-by-step guide

Quick setup:

1. Create scenario at make.com
2. Add Linear "Watch Issues" trigger
3. Add filter: state.name = "Todo"
4. Add Discord webhook action
5. Activate scenario

Option B: Pipedream (If you need instant triggers)

• Instant webhook triggers
• Limited free credits (deplete fast)
• See references/pipedream-setup.md for step-by-step guide

Quick setup:

1. Create workflow at pipedream.com with HTTP webhook trigger

2. Add Linear webhook pointing to your Pipedream URL

3. Add Discord "Send Message" step with Clawdbot bot token

4. Message template:

   text

   text

   <@BOT_ID>
   📋 New task: {{steps.trigger.event.data.title}}
     Status: {{steps.trigger.event.data.state.name}}
     ID: {{steps.trigger.event.data.identifier}}
   

Option B: Zapier (If you have a paid account)

• 100 tasks/month on free (very limited)
• Native Linear + Discord integrations
• See references/zapier-setup.md for step-by-step guide

Quick setup:

1. Create Zap: Linear (New Issue) → Discord (Send Channel Message)
2. Use webhook or bot integration for Discord
3. Map Linear fields to message template

4. Configure Discord Channel

Ensure Clawdbot listens to your task channel. In clawdbot.json:

json

{
  "channels": {
    "discord": {
      "guilds": {
        "YOUR_GUILD_ID": {
          "channels": {
            "YOUR_TASK_CHANNEL_ID": {
              "allow": true,
              "requireMention": false
            }
          }
        }
      }
    }
  }
}

Task Processing Workflow

When a task arrives in the Discord channel:

1. Acknowledge

• Reply in channel confirming receipt

2. Notify User via DM

text

Use message tool:
- action: send
- target: [user ID from config]
- message: "📋 New task: [ID] - [title]. Starting now..."

3. Process Task

• Update Linear status → "In Progress" via ./scripts/linear-api.sh start [task-id]
• Execute the task (spawn sub-agent if complex)
• Save outputs to appropriate location (research/, content/, etc.)

4. Complete

• Update Linear status → "Done" via ./scripts/linear-api.sh done [task-id]
• Add comment with results via ./scripts/linear-api.sh comment [task-id] "[summary]"
• Send completion DM to user

5. Git Sync (if enabled)

bash

git add [output files]
git commit -m "task: [ID] - [title]"
git push

Script Reference

scripts/linear-api.sh commands:

Command	Description
teams	List teams and IDs
states	List workflow states
get [id]	Get task details
pending	List pending tasks
start [id]	Mark as In Progress
done [id]	Mark as Done
comment [id] "text"	Add comment to task

Example Task Types

This workflow handles any task type:

• Research: Spawn sub-agent, save to research/[topic].md
• Content creation: Generate drafts, save to content/
• Code tasks: Write/modify code, commit changes
• Data processing: Run scripts, output results
• Custom: Define your own output patterns

Troubleshooting

Tasks not triggering?

• Check Pipedream workflow is enabled
• Verify Discord channel is in Clawdbot config
• Ensure allowBots: true if using webhook

Linear API errors?

• Verify API key in ~/.clawdbot/linear.env
• Check team/state IDs are correct

Git push failing?

• Ensure git remote is configured
• Check SSH key or credentials

依赖说明

运行环境

• Agent平台: 支持SKILL.md的任意AI Agent(Claude Code / Cursor / Codex / Gemini CLI等)
• 操作系统: Windows / macOS / Linux

第三方依赖

依赖项	类型	是否必需	获取方式
LLM API	API	必需	由Agent内置LLM提供

API Key 配置

• 本Skill基于Markdown指令,无需额外API Key(除内容中明确标注的外部API)

可用性分类

• 分类: MD+EXEC(纯Markdown指令,部分功能需要exec命令行执行能力)
• 说明: 基于Markdown的AI Skill,通过自然语言指令驱动Agent执行任务