memory-architectRestructure flat MEMORY.md files into a tiered memory system with an entity graph. Use when: (1) MEMORY.md is growing unwieldy or exceeds 150 lines, (2) user...
Install via ClawdBot CLI:
clawdbot install kapslap/memory-architectGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A team managing multiple projects with shared protocols, active sprints, and completed features. The skill restructures a cluttered MEMORY.md into tiered files, ensuring developers quickly access deployment steps in protocols.md, track current tasks in active.md, and reference past decisions in archive.md, while the entity graph links team members to projects.
A freelancer juggling multiple clients with varying workflows and contact details. The skill organizes memory into stable client procedures in protocols.md, active deliverables and pending communications in active.md, and archived project histories in archive.md, with an ontology graph for client and project relationships.
A research lab handling experimental protocols, ongoing studies, and historical data. The skill tiers memory to keep lab protocols in protocols.md, current experiments and waiting-on results in active.md, and completed studies in archive.md, while the entity graph structures researchers, projects, and equipment for easy lookup.
A startup growing rapidly with evolving processes and team expansion. The skill restructures memory to maintain core operational workflows in protocols.md, track active initiatives and dependencies in active.md, and archive past milestones in archive.md, with an ontology graph mapping team roles and project ownership.
A content creator managing production schedules, editorial guidelines, and archived content. The skill organizes memory with stable creation protocols in protocols.md, active content pieces and deadlines in active.md, and published work in archive.md, while the entity graph links creators, projects, and properties for structured queries.
Offer the skill as part of a cloud-based AI agent platform with tiered pricing based on memory size and entity count. Revenue comes from monthly subscriptions, targeting teams needing scalable memory management without local setup.
Sell customized versions of the skill to large organizations for integration into internal AI systems, with support for advanced features like audit trails and compliance. Revenue is generated through one-time licenses and annual maintenance contracts.
Provide a free basic version for individual users with limited memory tiers, and a paid premium version for teams offering unlimited entities, priority support, and automation features. Revenue comes from upgrades and add-ons.
💬 Integration Tip
Integrate this skill by setting up automated triggers for memory restructuring when MEMORY.md exceeds 150 lines, and use the ontology graph for quick entity lookups during AI agent interactions.
Scored Apr 19, 2026
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