/autopilot-predict
Use learned patterns and current state to predict the optimal next action
Claude Code
$ npx -y skills add ruvnet/ruflo --skill autopilot-predict --agent claude-code
Codex
$ npx skills add ruvnet/ruflo --skill autopilot-predict -a codex -y
Cursor
$ npx skills add ruvnet/ruflo --skill autopilot-predict -a cursor -y
Gemini CLI
$ npx skills add ruvnet/ruflo --skill autopilot-predict -a gemini-cli -y
GitHub Copilot
$ npx skills add ruvnet/ruflo --skill autopilot-predict -a github-copilot -y
OpenCode
$ npx skills add ruvnet/ruflo --skill autopilot-predict -a opencode -y
Windsurf
$ npx skills add ruvnet/ruflo --skill autopilot-predict -a windsurf -y
SKILL.md
autopilot-predict.SKILL.mdname: autopilot-predict description: Use learned patterns and current state to predict the optimal next action argument-hint: "" allowed-tools: mcp__plugin_ruflo-core_ruflo__autopilot_predict mcp__plugin_ruflo-core_ruflo__autopilot_progress mcp__plugin_ruflo-core_ruflo__autopilot_learn mcp__plugin_ruflo-core_ruflo__autopilot_history
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
📖 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.
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Questions about autopilot-predict.
- Which coding agents can use autopilot-predict?
- autopilot-predict 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.

