Individual skill

autopilot-predict

Use learned patterns and current state to predict the optimal next action

plugins/ruflo-autopilot/skills/autopilot-predict/SKILL.md

Read pinned source

Source commit 722232566ad1fc4e73ba4fefc46d77d380ce61ba

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Not checked yet
Last checked
Nov 6, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
81,253
Repository last updated
Nov 7, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt
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