Skip to content

Cron Scheduler

Caution

Design and implement cron-based and event-driven job scheduling. Handles cron expression generation, idempotency guarantees, distributed locking, and failure retry strategies.

By Anthropic 1,500 v1.0.0 Updated 2026-03-05

Install

Claude Code

Copy the SKILL.md file to .claude/skills/cron-scheduler.md

About This Skill

Cron Scheduler helps your AI agent build reliable scheduled job systems that don't silently fail, run twice at scale, or produce incorrect results when retried.

Cron Expression Generation

Generates and validates cron expressions for common patterns: hourly with offset, business-hours-only, first weekday of month, quarterly, and timezone-specific. Explains each field in plain English and flags expressions that behave unexpectedly across DST transitions.

Idempotency Design

Jobs must be safe to run more than once. The skill designs jobs with idempotency keys, state checkpointing for resumable long-running jobs, and at-least-once delivery handling using database-level deduplication.

Distributed Locking

For jobs running across multiple instances, implements distributed mutual exclusion using Redis SET NX EX or PostgreSQL advisory locks. Includes lock heartbeat renewal and automatic release on crash.

Observability

Adds structured logging with job ID, run timestamp, duration, and outcome. Instruments jobs with Prometheus metrics for last_successful_run, job_duration_seconds, and job_failures_total. Includes alerting on missed scheduled runs.

Use Cases

  • Generating correct cron expressions for complex schedules (business hours, quarterly)
  • Implementing idempotent batch jobs that are safe to run multiple times
  • Adding distributed locking to prevent concurrent job execution in scaled environments
  • Designing exponential backoff retry logic for failed job runs

Pros & Cons

Pros

  • + Generates and explains cron expressions in plain English
  • + Designs idempotent jobs that are safe to retry or re-run
  • + Implements distributed locking for multi-instance environments
  • + Adds observability metrics for missed runs and job duration

Cons

  • - DST timezone edge cases may require manual testing in the target environment
  • - Distributed lock implementations depend on the specific Redis or PostgreSQL setup

Related AI Tools

Related Skills

Stay Updated on Agent Skills

Get weekly curated skills + safety alerts

每周精选 Skills + 安全预警