memory-sync

What problem does it solve?

As projects evolve, AI's internal "memories" and human-readable project documentation can diverge, leading to outdated information, confusion, and wasted time. This Skill provides a guided workflow to ensure both sources of truth remain consistent, keeping your AI agent and human team aligned.

Core Features & Use Cases

• Automated Consistency Check: Systematically review recent code changes to identify impacts on project architecture, conventions, workflows, and status.
• AI Memory Updates: Guide the update of Serena memories (e.g., project_overview.md, critical_implementation_patterns.md) with concise, token-efficient summaries for immediate AI context.
• Documentation Flagging & Guidance: Identify and flag specific human-readable documentation files (e.g., docs/ARCHITECTURE.md, docs/PLAN.md) that require comprehensive updates, providing clear instructions for thorough revisions.
• Strategic Redundancy: Maintain the balance between lean, AI-optimized memories and detailed, human-comprehensible documentation, ensuring both serve their purpose effectively.
• Use Case: After completing a major development phase or implementing a new architectural pattern, use this skill to update the project's project_overview.md memory and ensure docs/PLAN.md reflects the new status, keeping all project stakeholders informed and the AI agent up-to-date.

Quick Start

Sync project memories and documentation after completing Phase 3, focusing on architectural changes.