بنقرة واحدة
autopilot-predict
Use learned patterns and current state to predict the optimal next Codex action
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Use learned patterns and current state to predict the optimal next Codex action
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Run one Codex-managed autopilot iteration using Ruflo MCP or CLI state
Discover and recommend ruflo plugins based on your workflow, installed MCP tools, and current task
Initialize a new Ruflo project with MCP tools, hooks, and agent configuration
Observe Ruflo swarm status from Codex with bounded checks
Initialize a Ruflo swarm and coordinate Codex-native follow-up work
Create a new sequentially numbered database migration with up/down SQL files
| name | autopilot-predict |
| description | Use learned patterns and current state to predict the optimal next Codex action |
| argument-hint | |
| allowed-tools | mcp__claude-flow__autopilot_predict mcp__claude-flow__autopilot_progress mcp__claude-flow__autopilot_learn mcp__claude-flow__autopilot_history |
Predict what to work on next using Ruflo autopilot intelligence:
mcp__claude-flow__autopilot_predict for the recommended next action.mcp__claude-flow__autopilot_progress for task breakdown.mcp__claude-flow__autopilot_learn to update patterns.mcp__claude-flow__autopilot_learn -- discover success patterns from completed tasks.mcp__claude-flow__autopilot_history({ query: "KEYWORD" }) -- search past completions.Codex does not provide Claude Code /loop semantics. Use this skill as a bounded next-action selector:
For repeated unattended execution, use an external scheduler or a user-requested follow-up session rather than assuming Codex can wake itself.