Audit memory storage for stale records and consolidate weak patterns.
npx skills add https://github.com/brunoldqueiroz/marvin --skill reflect-brunoldqueiroz
Please help me install this Agent Skill. Skill: reflect Source: https://github.com/brunoldqueiroz/marvin/tree/main/.claude/skills/reflect Command: npx skills add https://github.com/brunoldqueiroz/marvin --skill reflect-brunoldqueiroz
This Skill addresses the challenge of maintaining a clean, relevant, and efficient AI memory by periodically auditing stored information, identifying stale or redundant records, and consolidating weak signals to improve overall AI learning and decision-making.
/reflect to ensure the AI's memory is up-to-date and free of outdated information, preventing it from acting on stale knowledge in future sessions.Run the reflect skill to audit the AI's memory for stale records and suggest improvements.
High-intent search queries and answers about installing and using this skill.
To audit AI memory, you can run periodic memory audits and consolidation to identify stale records, weak patterns, near-duplicates, and high-error domains. This process scans memory directories and requires user interaction to approve modifications.
Consolidating weak patterns involves identifying records for pruning or confidence boosting based on defined criteria. The system generates domain error density reports to inform future skill loading and improve overall AI learning.
Yes, memory management workflows support cross-session learning by performing periodic memory audits and consolidation. This ensures the AI's memory remains up-to-date and free of outdated information across multiple sessions.
Yes, the AI memory audit process includes a user approval workflow that ensures all modifications to memory are explicitly approved. This prevents unauthorized changes to the AI's knowledge base during record management operations.
You should run a memory audit after completing complex multi-task specifications. This ensures the AI's memory is updated and cleared of outdated information, preventing it from acting on stale knowledge in future sessions.
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