slm-show-patterns

# SuperLocalMemory: Show Patterns Show what SuperLocalMemory has learned about your preferences, workflow, and coding identity. ## Usage ```bash slm patterns list [threshold] slm learning status slm engagement ``` ## Example Output ### Learned Patterns ```bash $ slm patterns list 0.5 ``` **Output:** ``` Learned Patterns (confidence >= 0.5) ===================================== TECH PREFERENCES (cross-project): #1 preferred_framework: React confidence: 0.92 (seen in 3 profiles) #2 preferred_language: Python confidence: 0.88 (seen in 2 profiles) #3 preferred_backend: FastAPI confidence: 0.85 (seen in 2 profiles) #4 testing_style: pytest confidence: 0.78 (seen in 1 profile) #5 preferred_db: PostgreSQL confidence: 0.71 (seen in 2 profiles) WORKFLOW PATTERNS: #6 morning_sequence: recall -> code -> remember frequency: 34 #7 debug_sequence: recall -> recall -> remember frequency: 18 #8 review_sequence: list -> recall -> remember frequency: 12 PROJECT CONTEXT: #9 active_project: SuperLocalMemoryV2 last_seen: 2 hours ago #10 active_project: client-dashboard last_seen: 1 day ago Total: 10 patterns (7 high confidence) ``` ### Learning Status ```bash $ slm learning status ``` **Output:** ``` SuperLocalMemory v2.7 -- Learning System Status ================================================== LightGBM: installed (4.5.0) SciPy: installed (1.14.1) ML Ranking: available Full Learn...