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Autopilot Loop

ruvnet/ruflo

This is the orchestration layer for autonomous work sessions in Claude Code. It runs a continuous loop that checks task status, predicts the next best action, executes it (whether that's spawning an agent or editing code), then schedules itself to wake up in 270 seconds to do it again. The timing is deliberate: staying under the 300 second cache TTL keeps your prompt context warm between iterations. It pulls tasks from multiple sources including Claude's native TaskList, MCP task lists, and even markdown checkboxes in your project files. Useful when you want to kick off a development session and let Claude work through a backlog without manual intervention between each step.

skills.sh installs
753
GitHub stars
81.4K
last updated
Aug 21, 2026
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Install

$ npx -y skills add ruvnet/ruflo --skill autopilot-loop --agent claude-code

Installs into .claude/skills of the current project.

Files

Run one autopilot iteration using Claude Code's native /loop:

  1. Check status: mcp__plugin_ruflo-core_ruflo__autopilot_status
  2. If all tasks complete or max iterations reached, call mcp__plugin_ruflo-core_ruflo__autopilot_disable and stop
  3. Get prediction: mcp__plugin_ruflo-core_ruflo__autopilot_predict for the optimal next action
  4. Execute the predicted task (spawn agent, edit code, run tests, etc.)
  5. Log via mcp__plugin_ruflo-core_ruflo__autopilot_log
  6. Schedule next: ScheduleWakeup({ delaySeconds: 270, reason: "next autopilot iteration" })

Cache-Aware Scheduling

Always use delay 270s (under 300s cache TTL) to keep the prompt cache warm between iterations.

Task Sources

Autopilot discovers tasks from:

  • team-tasks: Claude Code TaskList entries
  • swarm-tasks: MCP task_list entries
  • file-checklist: Markdown checkbox items in tracked files

Configure: mcp__plugin_ruflo-core_ruflo__autopilot_config({ taskSources: ["team-tasks", "swarm-tasks"] })

SKILL.md on GitHub

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Details

Repository
github.com/ruvnet/ruflo
Category
Automation & Workflows
First seen
Jun 3, 2026

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