Schedule distributed agent maintenance jobs with Dkron
Use Dkron to run recurring agent maintenance, data refresh, evaluation, and cleanup jobs across a fault-tolerant cluster with a UI and API.
npx skills add agentskillexchange/skills --skill schedule-distributed-agent-maintenance-jobs-with-dkron
Use Dkron when an operator needs reliable recurring execution for agent support jobs that must survive node failure, run across multiple servers, and stay inspectable through an API and web UI. The agent/operator deploys a Dkron server and agents, defines jobs for maintenance runs, data refreshes, evaluations, report generation, cache warming, or cleanup tasks, and monitors execution from the Dkron UI or API. Invoke it instead of local cron when agent operations need distributed scheduling, high availability, manual triggering, and centralized job history. The scope boundary is scheduled execution of supervised operational jobs around agents; it is not a generic workflow engine, agent framework, or SDK listing.
What this skill actually does
Inputs and prerequisites: Dkron server and agents, Docker or native Dkron binaries, networked worker nodes, job commands or API-triggered scripts.
Setup notes: Install Dkron from the official binaries or run the repository’s Docker Compose quickstart, open the UI at http://localhost:8080/ui, then define recurring jobs through the UI or API for agent maintenance, evaluations, refreshes, and cleanup tasks.
Source and verification boundary: use https://dkron.io/docs as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a Multi-Framework workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.