Task Reminder for Openclaw

An intelligent task management system that automates due date checks and multi-channel notifications to prevent missed deadlines.

sukimgit
v1.0.1
Mar 5, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install task-reminder

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install task-reminder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Task Reminder?

Task Reminder is a professional-grade task management system designed to eliminate the risk of missing critical deadlines. By utilizing natural language processing, it allows users to create and manage tasks fluidly while maintaining a robust background monitoring service. As part of the Openclaw Skills ecosystem, this tool provides a bridge between task logging and active notification, ensuring that developers and teams stay on top of their commitments through automated alerts.

The skill is particularly effective for those who require persistent follow-ups on overdue items and daily summaries to organize their workflow. Whether you are managing personal coding projects or coordinating team-wide milestones, this skill ensures that your task list is actionable and visible across popular communication platforms like Feishu.

Task Reminder Use Cases

  • Setting meeting reminders 15 minutes before start times to ensure punctuality.
  • Proactive monitoring of task deadlines with early-warning notifications.
  • Tracking overdue tasks with persistent hourly reminders until the status is marked as complete.
  • Receiving daily 9:00 AM task summaries for better morning planning.
  • Managing team task assignments and deadlines with synchronized alerts.

How Task Reminder Works

  1. Users input tasks using natural language commands through the AI agent interface.
  2. The skill parses the input to extract the task description, due date, and priority level.
  3. A background process continuously compares the current time against the stored task deadlines.
  4. Triggered events send notifications through configured channels (Feishu or Email) at pre-defined intervals before the deadline.
  5. If a task expires without being marked as complete, the skill transitions into an overdue alert state, providing ongoing notifications until the user intervenes.

Task Reminder Setup

To deploy this skill within your Openclaw Skills environment, ensure you have Python 3.x installed. You will also need to configure your communication provider credentials.

# Set your Feishu App ID for bot notifications
export FEISHU_APP_ID="your_feishu_app_id"

# Standard setup commands
# Ensure python is available in your PATH
python --version

Task Reminder Data Schema & Taxonomy

The skill organizes task data using a structured metadata approach to ensure accurate tracking and retrieval. Below is the primary data organization:

Attribute Type Description
task_id String Unique identifier for the task
description String The core content of the reminder
due_timestamp ISO8601 The exact date and time the task is due
status Enum Current state: Pending, Completed, or Overdue
notification_type String Preferred channel (e.g., feishu, email)
reminder_lead_time Integer Minutes before deadline to trigger the first alert

Task Reminder Advanced Features

  • Natural Language Processing (NLP) for frictionless task creation and scheduling.
  • Multi-channel notification support including Feishu robot integration and SMTP email alerts.
  • Intelligent overdue logic that calculates exact time elapsed since the deadline.
  • Daily digest mode that compiles all relevant tasks into a single morning summary.
  • Support for secondary reminders that repeat hourly until task completion is confirmed.
  • Enterprise-ready scaling for team kanban views and multi-user task allocation in the Pro and Team tiers.

SKILL.md


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Bins python
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