Agent Orchestration
Skill
/autopilot-loop
Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake
Claude Code
$ npx -y skills add ruvnet/ruflo --skill autopilot-loop --agent claude-code
Codex
$ npx skills add ruvnet/ruflo --skill autopilot-loop -a codex -y
Cursor
$ npx skills add ruvnet/ruflo --skill autopilot-loop -a cursor -y
Gemini CLI
$ npx skills add ruvnet/ruflo --skill autopilot-loop -a gemini-cli -y
GitHub Copilot
$ npx skills add ruvnet/ruflo --skill autopilot-loop -a github-copilot -y
OpenCode
$ npx skills add ruvnet/ruflo --skill autopilot-loop -a opencode -y
Windsurf
$ npx skills add ruvnet/ruflo --skill autopilot-loop -a windsurf -y
SKILL.md
autopilot-loop.SKILL.mdname: autopilot-loop
description: Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake
argument-hint: ""
allowed-tools: mcp__plugin_ruflo-core_ruflo__autopilot_status mcp__plugin_ruflo-core_ruflo__autopilot_predict mcp__plugin_ruflo-core_ruflo__autopilot_log mcp__plugin_ruflo-core_ruflo__autopilot_progress mcp__plugin_ruflo-core_ruflo__autopilot_disable ScheduleWakeup Agent
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"] })`
Read more
name: autopilot-loop description: Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake argument-hint: "" allowed-tools: mcp__plugin_ruflo-core_ruflo__autopilot_status mcp__plugin_ruflo-core_ruflo__autopilot_predict mcp__plugin_ruflo-core_ruflo__autopilot_log mcp__plugin_ruflo-core_ruflo__autopilot_progress mcp__plugin_ruflo-core_ruflo__autopilot_disable ScheduleWakeup Agent
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"] })`
Stats
81,370
Stars
9,577
Forks
Active
Maintenance
TypeScript
Language
MIT
License
Last commit
Created
Ships withruflo
📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification. Agent = Model + Harness.
80k200 skills169 agents3 MCP
Stars on GitHub
Momentum
- stars in total
- 80.4k
Other skills on ruflo.
More skills from other plugins.
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by…
@paperclipaiInstall Skillbmad
Answers BMad questions and recommends the next skill from what is installed. Use when the user asks bmad for help, what to do…
@bmad-code-orgInstall SkillQuestions about autopilot-loop.
- Which coding agents can use autopilot-loop?
- autopilot-loop installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.