house-maint-ai

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Invokes the researcher agent.

MECE+ methodology for breaking problems into independently-solvable atomic tasks

Recursive sandboxing for 100+ iterations before human review

Simulate-Deploy-Augment loop replacing traditional PDCA

Patterns and utilities for building React components in house-maint-ai