复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-loop-worker-5a387d469e14 ,按照其中的说明把「loop-worker」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
查看 AI 将读取的安装说明正在读取 GitHub 原文…
内容来自 GitHub 原始文件,由原作者维护。在 GitHub 查看
Use /loop for in-session periodic workers. Cache-aware delays keep prompt cache warm:
min(270, cache_ttl * 0.9) -- default 270sDispatch a worker via MCP: mcp__plugin_ruflo-core_ruflo__hooks_worker-dispatch({ trigger: "WORKER_NAME" })
Then schedule the next iteration: ScheduleWakeup({ delaySeconds: 270, reason: "next WORKER_NAME iteration" })
| Worker | Interval | Description |
|---|---|---|
| audit | 270s | Security analysis |
| optimize | 270s | Performance optimization |
| consolidate | 600s | Memory consolidation |
| predict | 270s | Predictive preloading |
| map | 600s | Codebase mapping |
| testgaps | 270s | Test coverage analysis |
| document | 600s | Auto-documentation |
| benchmark | 600s | Performance benchmarking |
MCP tool responses include [LOOP_SUGGESTION] and [CRON_SUGGESTION] hints -- follow them.