with one click
autopilot-predict
// Use learned patterns and current state to predict the optimal next action
// Use learned patterns and current state to predict the optimal next action
| name | autopilot-predict |
| description | Use learned patterns and current state to predict the optimal next action |
| argument-hint | |
| allowed-tools | mcp__claude-flow__autopilot_predict mcp__claude-flow__autopilot_progress mcp__claude-flow__autopilot_learn mcp__claude-flow__autopilot_history |
Predict what to work on next using Ruflo autopilot intelligence:
mcp__claude-flow__autopilot_predict for the recommended next actionmcp__claude-flow__autopilot_progress for task breakdownmcp__claude-flow__autopilot_learn to update patternsmcp__claude-flow__autopilot_learn -- discover success patterns from completed tasksmcp__claude-flow__autopilot_history({ query: "KEYWORD" }) -- search past completionsWhen running inside a /loop, the predict skill guides each iteration:
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Comprehensive GitHub code review with AI-powered swarm coordination
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.