{"skill":{"slug":"memory-bench-designer","displayName":"Memory Bench Designer","summary":"Designs a custom agent-memory benchmark for the user's specific use case. Activate when the user asks which memory strategy fits their agent, how to evaluate...","tags":{"latest":"0.1.0"},"stats":{"comments":0,"downloads":77,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1776778908274,"updatedAt":1776779509418},"latestVersion":{"version":"0.1.0","createdAt":1776778908274,"changelog":"Initial release: 4-stage elicitation skill + companion Python runner benchmarking 5 memory strategies (Recency, BM25, ACT-R, Embedding, Composite) across 8 dimensions in 4 families (Exploration, Ranking, Adaptation, Maintenance). Three worked examples (game-AI, NPC cognition, coding agent) demonstrate different use cases produce different winners. Runner at https://github.com/TatsuKo-Tsukimi/memory-bench-designer","license":"MIT-0"},"metadata":null,"owner":{"handle":"tatsuko-tsukimi","userId":"s17fzynzndvr66ba9b8t2qxjd1859kvt","displayName":"TatsuKo Tsukimi","image":"https://avatars.githubusercontent.com/u/268521277?v=4"},"moderation":{"isSuspicious":true,"isMalwareBlocked":false,"verdict":"suspicious","reasonCodes":["suspicious.llm_suspicious"],"summary":"Detected: suspicious.llm_suspicious","engineVersion":"v2.4.0","updatedAt":1776779509418}}