autopilot-predict — Claude Code skill: next-action predictions
Chooses the next task from the current work state and learned patterns. Use it when an agent needs direction during repeated task iterations.
npx skills add ruvnet/ruflo --skill autopilot-predict -a claude-codeWhat autopilot-predict does
The skill calls mcp__plugin_ruflo-core_ruflo__autopilot_predict to get a recommended next action. When confidence is above 0.7, the agent follows that prediction. Below that threshold, it checks task breakdown through mcp__plugin_ruflo-core_ruflo__autopilot_progress and selects the highest-priority incomplete task.
After work is complete, it calls mcp__plugin_ruflo-core_ruflo__autopilot_learn to update patterns. mcp__plugin_ruflo-core_ruflo__autopilot_history searches completed work by keyword, while AgentDB retains patterns across sessions. Inside /loop, it guides each iteration and disables autopilot when no tasks remain. The 0.7 threshold matters because lower-confidence choices fall back to task priority.
What it helps with
- choose the next incomplete task
- fall back to task priority at low confidence
- record patterns after completed work
- search earlier completions by keyword
- exit
/loopwhen no tasks remain
Example prompts for the agent
- Run autopilot-predict and choose the next task.
- Use autopilot-predict for the next `/loop` iteration.
- Run autopilot-predict after this task to update learned patterns.
How to install autopilot-predict
1Skills CLI (Vercel)
npx skills add ruvnet/ruflo --skill autopilot-predict -a claude-code2Manually: put the files in place
~/.claude/skills/autopilot-predict/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/autopilot-predict/
1Skills CLI (Vercel)
npx skills add ruvnet/ruflo --skill autopilot-predict -a codex2Manually: put the files in place
.agents/skills/autopilot-predict/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add ruvnet/ruflo --skill autopilot-predict -a cursor2Manually: put the files in place
.cursor/skills/autopilot-predict/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install ruvnet/ruflo autopilot-predict2Manually: put the files in place
.github/skills/autopilot-predict/SKILL.md1Skills CLI (Vercel)
npx skills add ruvnet/ruflo --skill autopilot-predict -a gemini-cli2Platform CLI
gemini skills install https://github.com/ruvnet/ruflo --path plugins/ruflo-autopilot/skills/autopilot-predictManually: put the files in place
.devin/skills/autopilot-predict/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add ruvnet/ruflo --skill autopilot-predict -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set104
The whole set →Similar
Questions about autopilot-predict
How do I install autopilot-predict in Claude Code?
Run npx skills add ruvnet/ruflo --skill autopilot-predict -a claude-code, then run npx skills add ruvnet/ruflo --skill autopilot-predict -a claude-code again. The skill file is at ~/.claude/skills/autopilot-predict/SKILL.md.
What does autopilot-predict do?
It predicts the next action from current state and learned patterns. At lower confidence, it selects the highest-priority incomplete task instead.
How does autopilot-predict work with `/loop`?
It guides each /loop iteration using a prediction or task-list priority. When no tasks remain, it disables autopilot and exits the loop.
Source text
SKILL.md · MIT
---
name: 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
© ruvnet · MIT · ruvnet/ruflo