memory-recalllisted

# Memory Recall Skill Automatically recalls relevant memories from the git-backed memory system to provide historical context during conversations. ## Purpose This skill bridges the gap between conversations by surfacing relevant decisions, learnings, context, and patterns stored in the git notes memory system. It helps maintain continuity across sessions and prevents re-solving problems that have already been addressed. ## When This Skill Activates ### Direct Triggers - Questions about past work: "what did we decide about...", "how did we handle...", "why did we choose..." - Explicit recall requests: "recall", "remember when", "previously", "last time" - Decision inquiries: "what was the reasoning", "why are we using..." ### Contextual Triggers - Starting work on a feature that has related memories - Encountering errors similar to previously resolved issues - Discussing topics with high relevance scores to stored memories - Beginning tasks where historical context would be valuable ## Core Workflow ### Step 1: Context Extraction Extract key concepts from the current conversation: ```python from git_notes_memory import get_recall_service recall = get_recall_service() # Extract concepts from recent messages concepts = extract_concepts(conversation_context) # Examples: file names, function names, error messages, technology terms ``` ### Step 2: Memory Search Perform semantic search across namespaces: ```bash python3 -c " from git_notes_memory import get_recall_