Cain-Ish

Autonomous Claude Code plugin with intelligent orchestration, continuous learning, and self-optimization. Prevents mistakes, auto-improves code, learns patterns, and leverages all Claude capabilities.

Unified autonomous plugin: PreToolUse validation, PostToolUse auto-formatting, continuous learning with confidence scoring, super-orchestrator leveraging all Claude capabilities (agents, skills, plugins, web search, MCP). Self-maintaining with zero documentation.

Self-improving automation orchestrator with cross-plugin optimization, automatic recovery, MAR debate, and adaptive routing. Coordinates multi-agent, reflect, self-debugger, and process-janitor automatically through hooks. Based on 37 research papers (2025-2026) covering MAR, three-type memory, exponential backoff, circuit breakers, and adaptive routing.

Self-improvement system for Claude Code skills. Analyzes sessions for improvement signals, proposes skill enhancements, validates via critic agent, and tracks effectiveness metrics. Self-optimizes proposal quality via self-debugger.

Safely detect and clean up leftover processes when multiple Claude Code instances are running. Multi-layer safety checks prevent false positives.

Meta-plugin that monitors, debugs, and improves all plugins by detecting issues, generating fixes, and committing them to feature branches. Optimizes other plugins (multi-agent, reflect) through the Plugin Composition Pattern. Auto-discovers patterns via web search and continuously self-improves.

Intelligent orchestration system that analyzes task complexity and automatically coordinates single or multiple agents with transparent cost-benefit analysis. Uses research-proven patterns (sequential, parallel, hierarchical) to achieve 90% better results on complex tasks. Self-calibrates thresholds via self-debugger.