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- cron expression translator
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cron expression translator
Translate, validate, and preview cron expressions between plain English and standard or extended cron formats.
$5
cron expression translator
Example session with this skill installed
Explain */15 9-17 * * 1-5 and show when it runs next.
- Read your context and instructions
- Compiled the cron expression translator
The cron expression has been parsed and validated against standard Unix cron syntax.
Cron Schedule Analysis
| Attribute | Value |
|---|---|
| Expression | */15 9-17 * * 1-5 |
| Meaning | Every 15 minutes, between 09:00 AM and 05:59 PM, Monday through Friday |
| Status | Valid |
| Dialect | Standard Cron (5-field) |
Field Breakdown
- Minute (
*/15): Every 15th minute (0, 15, 30, 45). - Hour (
9-17): Every hour from 9 AM through 5 PM. - Day of Month (
*): Every day. - Month (
*): Every month. - Day of Week (
1-5): Monday, Tuesday, Wednesday, Thursday, and Friday.
Next 3 Runs (UTC)
Assuming current time is Monday, 2024-05-20 08:00:00 UTC:
- 2024-05-20 09:00:00
- 2024-05-20 09:15:00
- 2024-05-20 09:30:00
Next steps
- Confirm if your server environment uses UTC or a local timezone.
- Use
crontab -eto apply this expression to your local system. - If using AWS EventBridge or Jenkins, verify if a 6-field format is required.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Reading or writing cron expressions is error-prone and often leads to misconfigured job schedules. Small syntax mistakes, like confusing every 5 minutes with every 5 hours, can cause significant operational issues or unexpected cloud costs.
What it does
- Translates complex cron expressions into plain English descriptions.
- Converts natural language schedules into valid 5-field cron strings.
- Validates syntax, field ranges, and wildcards to catch errors before deployment.
- Calculates and previews the next three scheduled run times based on the expression.
- Identifies dialect-specific syntax for tools like Jenkins, AWS EventBridge, and Quartz.
Why this beats prompting it yourself
Generic LLM prompts often guess at ambiguous natural language or hallucinate execution dates. This tool enforces strict validation of field counts and ranges while explicitly flagging non-standard dialects like @reboot or seconds-based syntax that common prompts miss.
Use cases
- Verifying a legacy crontab before making production changes.
- Generating schedules for Kubernetes CronJobs from simple English requirements.
- Debugging why a cloud-specific schedule isn't triggering as expected.
- Onboarding junior developers to systems using complex time-based automation.
Known limitations
Does not execute jobs or modify server crontabs. It cannot resolve schedules like "every other Friday" without an anchor date.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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