Dispatches periodic background workers using Claude Code native loop scheduling.
npx skills add https://github.com/ruvnet/claude-flow --skill loop-worker
Please help me install this Agent Skill. Skill: loop-worker Source: https://github.com/ruvnet/claude-flow/tree/main/plugins/ruflo-loop-workers/skills/loop-worker Command: npx skills add https://github.com/ruvnet/claude-flow --skill loop-worker
Running recurring maintenance tasks like security audits, performance optimization, and memory consolidation manually is repetitive and easy to forget. This Skill automates periodic background workers inside a Claude Code session using native /loop scheduling with cache-aware delays.
Ask the AI to run the audit background worker on a loop so it performs security analysis every 270 seconds during this session.
High-intent search queries and answers about installing and using this skill.
Use the /loop skill with a worker name to dispatch recurring tasks via the Ruflo MCP worker-dispatch tool. The skill then calls ScheduleWakeup with a delay to queue the next iteration automatically.
Eight workers are available: audit, optimize, predict, and testgaps run every 270 seconds, while consolidate, map, document, and benchmark run every 600 seconds. Each handles a specific maintenance task like security analysis or memory consolidation.
The delay is computed as min(270, cache_ttl * 0.9) seconds, defaulting to 270. This keeps the prompt cache warm between iterations so subsequent worker runs reuse cached context instead of reprocessing.
The /loop scheduling works only within an active session using ScheduleWakeup. For persistent scheduling, follow the [CRON_SUGGESTION] hints included in MCP tool responses to set up cron-based execution instead.
The loop continues only if ScheduleWakeup is called after each worker dispatch with the correct delaySeconds and reason. Check that the MCP response hints ([LOOP_SUGGESTION]) are being followed after each run.
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