A natural language cron scheduler that allows users to automate tasks using simple English commands instead of complex cron syntax.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-cron
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 smart-cron using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Smart Cron is a sophisticated automation engine designed to bridge the gap between human language and system-level scheduling. As a key utility within the ecosystem of Openclaw Skills, it allows developers to define execution patterns like "every weekday at 9am" or "first Monday of month" without ever touching a crontab file.
The tool focuses on reliability and observability, providing a full lifecycle management system for automated tasks. By integrating directly with system cron and the OpenClaw orchestration layer, it ensures that your AI agents perform their duties consistently while keeping you informed through detailed logs and real-time failure alerts via WhatsApp or Telegram.
To get started with this skill, ensure you have OpenClaw 1.0+ and Python 3.8+ installed on a system with a running cron daemon.
# Add a daily task using natural language
smart-cron add "every weekday at 9am" --task "summarize my emails"
# Verify your scheduled jobs
smart-cron list
# Configure failure alerts in the config file
nano ~/.openclaw/workspace/smart-cron-data/config.json
Smart Cron organizes its data locally to ensure privacy and speed. All configurations and historical data are stored within the ~/.openclaw/workspace/smart-cron-data/ directory.
| File/Folder | Purpose |
|---|---|
jobs.db |
SQLite database storing job IDs, schedules, tasks, and current status. |
config.json |
Stores global settings like default_timezone and alert_channel configurations. |
logs/ |
A directory containing the persisted history of every task execution for debugging. |
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