mcpField
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autopilot-predict

autopilot-predict

github.com/ruvnetAgent workflows80.0k743 installsUpdated today
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About autopilot-predict

autopilot-predict is a skill that uses Ruflo autopilot intelligence to recommend the next task and guide its execution. It draws on learned completion patterns and past-task history stored in AgentDB.

Key features

  1. 01Recommend a next action
  2. 02Use confidence to guide execution
  3. 03Break down tasks when confidence is low
  4. 04Learn patterns from completed tasks
  5. 05Search completion history

Use cases

  1. 01Choose a next task based on a prediction
  2. 02Fall back to task priorities when confidence is low
  3. 03Guide iterations inside a /loop

MCP support

Uses Ruflo MCP tools to predict actions, inspect task progress, learn from completed work, and search history.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/ruvnet/ruflo --skill autopilot-predict

After installing, type/autopilot-predictin Claude Code to confirm it loaded.

Details

From the project README

Predict what to work on next using Ruflo autopilot intelligence:

  1. Call mcp__plugin_ruflo-core_ruflo__autopilot_predict for the recommended next action
  2. If confidence > 0.7, execute the prediction directly
  3. If confidence < 0.7, check mcp__plugin_ruflo-core_ruflo__autopilot_progress for task breakdown
  4. Pick the highest-priority incomplete task
  5. After completing work, call mcp__plugin_ruflo-core_ruflo__autopilot_learn to update patterns
Learning Pipeline
  • mcp__plugin_ruflo-core_ruflo__autopilot_learn -- discover success patterns from completed tasks
  • mcp__plugin_ruflo-core_ruflo__autopilot_history({ query: "KEYWORD" }) -- search past completions
  • Patterns are stored in AgentDB for cross-session recall
Integration with /loop

When running inside a /loop, the predict skill guides each iteration:

  • High confidence prediction -> execute immediately
  • Low confidence -> fall back to task list priority order
  • No tasks remaining -> disable autopilot and exit loop

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