Use learned patterns and current state to predict the optimal next action
Install
npx skills add https://github.com/ruvnet/ruflo --skill autopilot-predictSKILL.md
Predict what to work on next using Ruflo autopilot intelligence:
- Call
mcp__plugin_ruflo-core_ruflo__autopilot_predictfor the recommended next action - If confidence > 0.7, execute the prediction directly
- If confidence < 0.7, check
mcp__plugin_ruflo-core_ruflo__autopilot_progressfor task breakdown - Pick the highest-priority incomplete task
- After completing work, call
mcp__plugin_ruflo-core_ruflo__autopilot_learnto update patterns
Learning Pipeline
mcp__plugin_ruflo-core_ruflo__autopilot_learn-- discover success patterns from completed tasksmcp__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
Related skills
find-skillsvercel-labs3.6MHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.handoffmattpocock883KCompact the current conversation into a handoff document for another agent to pick up.microsoft-foundrymicrosoft618KBuild, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invoke agent, agent.yaml, agent insights, pull agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, prompt optimizer, optimize agcavemanjuliusbrussee544KUltra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".
