claude-mem-context-retriever

What problem does it solve?

Developers often spend valuable time manually searching for relevant project context, leading to wasted tokens, irrelevant information, and reduced productivity. This Skill eliminates that overhead by intelligently automating context retrieval from your claude-mem system.

Core Features & Use Cases

• Intelligent Context Retrieval: Proactively fetches relevant project history, architectural decisions, code changes, and debugging insights.
• Token Optimization: Employs progressive disclosure and smart search strategies to reduce token usage by an average of 83%, maximizing efficiency.
• Query Pattern Analysis: Automatically detects 6 common query patterns (e.g., recent work, file-specific, debugging, architecture review) to apply the most efficient search strategy.
• Use Case: When you start a new coding session, this Skill automatically provides a concise summary of your recent work, key decisions, and relevant file changes, allowing you to immediately pick up where you left off without any manual searching.

Quick Start

Ask Claude "What did I just work on?" to get an instant, token-optimized summary of your recent project activities.