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autopilot-predict
Use learned patterns and current state to predict the optimal next Codex action
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use learned patterns and current state to predict the optimal next Codex action
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.