OpenClaw DingTalk bot task management functionality

How many tasks live in your head right now? And how many of those will you forget by Friday? If your team communicates through DingTalk, the gap between "we discussed it" and "someone actually tracked it" is where tasks go to die.

An OpenClaw-powered DingTalk bot can capture, assign, track, and remind — turning chat conversations into actionable work items without anyone leaving the chat window.

The Task Management Flow

Here's what a well-configured task bot looks like in practice:

User: "@bot create task: Update API docs for v2 endpoints, assign to @Alice, due Friday"

Bot: "Task created:
  Title: Update API docs for v2 endpoints
  Assignee: @Alice
  Due: Friday, March 13, 2026
  Priority: Normal
  Status: To Do
  
  @Alice, you've been assigned a new task. Reply 'accept' to confirm."

Alice: "accept"

Bot: "Task accepted by @Alice. I'll send a reminder on Thursday."

No project management tool required. No context switching. Just chat-native task management.

Setting Up the Task Skill

Deploy your OpenClaw instance on Tencent Cloud Lighthouse first:

1. Visit the Tencent Cloud Lighthouse OpenClaw page to see available instances.
2. Select the "OpenClaw (Clawdbot)" application template under "AI Agents".
3. Deploy by clicking "Buy Now" — your task management bot starts here.

Configure the task management skill:

# /opt/clawdbot/config/dingtalk-tasks.yaml
channel: dingtalk
dingtalk:
  app_key: "${DINGTALK_APP_KEY}"
  app_secret: "${DINGTALK_APP_SECRET}"
  robot_code: "${DINGTALK_ROBOT_CODE}"

skills:
  task-manager:
    enabled: true
    description: "Create, assign, and track tasks within DingTalk"
    config:
      storage: "/opt/clawdbot/data/tasks.json"
      default_priority: "normal"
      auto_remind: true
      remind_before_hours: 24
      statuses:
        - "to_do"
        - "in_progress"
        - "in_review"
        - "done"
      max_tasks_per_user: 50

Natural Language Task Creation

The bot parses natural language to extract task details:

User: "Remind me to review the security audit report by next Tuesday, high priority"

Bot: "Task created:
  Title: Review the security audit report
  Assignee: You
  Due: Tuesday, March 10, 2026
  Priority: High
  Status: To Do
  
  I'll remind you on Monday."

It handles variations gracefully:

• "assign @Bob to fix the login bug" → creates task, assigns Bob
• "what's on my plate?" → lists all tasks assigned to the user
• "mark task #12 as done" → updates status
• "what's overdue?" → lists all overdue tasks in the group

Task Data Storage

Tasks are stored in a simple JSON structure on the Lighthouse instance:

{
  "tasks": [
    {
      "id": 1,
      "title": "Update API docs for v2 endpoints",
      "assignee": "alice_dingtalk_id",
      "creator": "bob_dingtalk_id",
      "group": "group_engineering_123",
      "created_at": "2026-03-06T10:30:00Z",
      "due_at": "2026-03-13T18:00:00Z",
      "priority": "normal",
      "status": "in_progress",
      "reminders_sent": 0,
      "comments": [
        {
          "user": "alice_dingtalk_id",
          "text": "Started working on this, ETA Wednesday",
          "at": "2026-03-07T09:00:00Z"
        }
      ]
    }
  ]
}

Back it up regularly:

# Daily task backup
cp /opt/clawdbot/data/tasks.json \
   /opt/clawdbot/backups/tasks-$(date +%Y%m%d).json

Automated Reminders

The reminder system runs as a background job:

#!/bin/bash
# /opt/clawdbot/task-reminders.sh
# Runs every hour via cron

TASKS_FILE="/opt/clawdbot/data/tasks.json"
NOW=$(date +%s)
THRESHOLD=$((24 * 3600))  # 24 hours

# Find tasks due within 24 hours that haven't been reminded
jq -r ".tasks[] | select(.status != \"done\") | 
  select((.due_at | fromdateiso8601) - $NOW < $THRESHOLD) |
  select(.reminders_sent == 0) |
  \"Task #\(.id): \(.title) is due in less than 24 hours. Assignee: \(.assignee)\"" \
  "$TASKS_FILE"

# Add to crontab
echo "0 * * * * /opt/clawdbot/task-reminders.sh" | crontab -

Group-Level Task Dashboards

Give group admins visibility into task status:

User: "@bot task summary"

Bot: "Task Dashboard for Engineering Group:
  
  To Do: 5 tasks
  In Progress: 8 tasks  
  In Review: 3 tasks
  Done (this week): 12 tasks
  Overdue: 2 tasks ⚠️
  
  Overdue tasks:
  #7 - Fix memory leak (assigned: @Charlie, due: Mar 4)
  #9 - Update staging env (assigned: @Dave, due: Mar 5)
  
  Team velocity: 12 tasks/week (up from 9 last week)"

Integration with DingTalk Features

Leverage DingTalk's native capabilities:

• Card messages: Display tasks as interactive cards with action buttons
• @mentions: Notify assignees directly in the group chat
• Group settings: Auto-create tasks from messages marked with specific keywords

integrations:
  auto_capture:
    enabled: true
    trigger_keywords: ["TODO", "ACTION", "TASK"]
    # Messages containing these keywords auto-create tasks

Monitoring Task Bot Health

#!/bin/bash
echo "=== Task Bot Health ==="
echo "Total tasks: $(jq '.tasks | length' /opt/clawdbot/data/tasks.json)"
echo "Active tasks: $(jq '[.tasks[] | select(.status != "done")] | length' /opt/clawdbot/data/tasks.json)"
echo "Overdue: $(jq '[.tasks[] | select(.status != "done") | select((.due_at | fromdateiso8601) < now)] | length' /opt/clawdbot/data/tasks.json)"
echo "Bot status: $(systemctl is-active clawdbot)"

Get Started

Task management in DingTalk doesn't require a separate project management tool. With OpenClaw, your bot becomes the single source of truth for team tasks — right where the conversations happen.

1. Visit https://www.tencentcloud.com/act/pro/intl-openclaw to deploy your OpenClaw instance.
2. Select the "OpenClaw (Clawdbot)" template under "AI Agents".
3. Deploy and start turning chat into action.

Stop losing tasks in the chat scroll. Start tracking them.