[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DF54PBNGCJD3Y2K7Y34TY1":3,"skill-same:01M6DF54PBNGCJD3Y2K7Y34TY1":84},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":29,"linkOnly":30,"markdownContent":31,"markdownBody":32,"frontMatter":33,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M6DF54PBNGCJD3Y2K7Y34TY1","ebbinghaus-memory",null,"Use Ebbinghaus memory sleep, recall, and decay.","zapabob\u002FSkills","zapabob","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F130830376?v=4","01M6DBMYZAGRTFQDSQYW3W764P","峯岸 亮","01M6DBMZ3GKDSJ01NZ9XTZD7JD",2,"MIT","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Farchive\u002Fskill-md-reviewed\u002Fsha256\u002F47\u002F47c51d9086e021e0f183d8af1129410d77bc82f5913a713af3da60748fee9cf2\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28],"memory","ebbinghaus memory","macos","linux","windows","plugins","recall","hermes","hermes agent","use","2026-11-10 10:12:30",false,"---\r\nname: ebbinghaus-memory\r\ndescription: \"Use Ebbinghaus memory sleep, recall, and decay.\"\r\nversion: 1.0.0\r\nauthor: Hermes Agent\r\nlicense: MIT\r\nplatforms: [linux, macos, windows]\r\nmetadata:\r\n  hermes:\r\n    tags: [memory, ebbinghaus, sleep, recall, forgetting]\r\n    related_skills: [hermes-agent]\r\n    plugin: plugins\u002Fmemory\u002Febbinghaus\r\n    tools: [ebbinghaus_memory]\r\n---\r\n\r\n# Ebbinghaus Memory Skill\r\n\r\nUse this skill to operate the bundled Ebbinghaus memory plugin as an agent memory routine. It covers durable recall, rehearsal-based consolidation, and idle sleep cleanup.\r\n\r\nThis skill does not replace other memory providers. Use it when the active memory provider is `ebbinghaus` or when you are helping a user configure that provider.\r\n\r\n## Cron Memory\u002FSocial Sync (Bitwarden-Safe Pattern)\r\n\r\nWhen the user asks to run a scheduled or manual memory\u002Fsocial sync job (e.g., \"記憶の統合と管理\", cron jobs), follow the counts-only, Bitwarden-safe pattern implemented in `scripts\u002Fcron-memory-s","# Ebbinghaus Memory Skill\r\n\r\nUse this skill to operate the bundled Ebbinghaus memory plugin as an agent memory routine. It covers durable recall, rehearsal-based consolidation, and idle sleep cleanup.\r\n\r\nThis skill does not replace other memory providers. Use it when the active memory provider is `ebbinghaus` or when you are helping a user configure that provider.\r\n\r\n## Cron Memory\u002FSocial Sync (Bitwarden-Safe Pattern)\r\n\r\nWhen the user asks to run a scheduled or manual memory\u002Fsocial sync job (e.g., \"記憶の統合と管理\", cron jobs), follow the counts-only, Bitwarden-safe pattern implemented in `scripts\u002Fcron-memory-s",{"name":5,"author":34,"license":15,"version":35,"metadata":36,"platforms":47,"description":7},"Hermes Agent","1.0.0",{"hermes":37},{"tags":38,"tools":42,"plugin":44,"related_skills":45},[19,39,40,25,41],"ebbinghaus","sleep","forgetting",[43],"ebbinghaus_memory","plugins\u002Fmemory\u002Febbinghaus",[46],"hermes-agent",[22,21,23],"main","0d1434f89f4bc6b07e9d272accd8c1013768820f","archive\u002Fskill-md-reviewed\u002Fsha256\u002F47\u002F47c51d9086e021e0f183d8af1129410d77bc82f5913a713af3da60748fee9cf2",0,"https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills","https:\u002F\u002Fgithub.com\u002Fzapabob","The Open University of JAPAN　2019-now\r\n\r\nTokyo University of Science　2007-2010","2026-10-26 16:29:01",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add zapabob\u002FSkills --skill ebbinghaus-memory",{"tool":62,"command":63},"bunx","bunx skills add zapabob\u002FSkills --skill ebbinghaus-memory",{"tool":65,"command":66},"pnpm","pnpm dlx skills add zapabob\u002FSkills --skill ebbinghaus-memory","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Farchive\u002Fskill-md-reviewed\u002Fsha256\u002F47\u002F47c51d9086e021e0f183d8af1129410d77bc82f5913a713af3da60748fee9cf2\u002FSKILL.md",true,[70,76,80],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"checklist.md","REFERENCE","参考文档",1792,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgds-performance-test\u002Fchecklist.md",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"performance-template.md",5859,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgds-performance-test\u002Fperformance-template.md",{"path":81,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":82,"sourceHtmlUrl":83},"workflow.md",11744,"https:\u002F\u002Fgithub.com\u002Fdinesh-style\u002Fportfolio\u002Fblob\u002Fmain\u002F.agents\u002Fskills\u002Fgds-performance-test\u002Fworkflow.md",[85,118,153,179,206,223],{"skillNo":86,"name":87,"nameZh":6,"description":88,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":89,"categories":90,"keywords":104,"publishedAt":29},"01M6GJTE1GESGGF9K028Y7753E","xurl","X\u002FTwitter via xurl CLI: post, search, DM, media, v2 API.","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Fregistry\u002Fskills\u002Fxurl\u002Fvariants\u002Fhermes-agent\u002FSKILL.md",[91,96,99],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[87,105,21,106,107,22,23,108,109,110,111,112,113,26,27,114,48,115,116,117],"openclaw","cli","github","official","search","https","social-media","api","Media","twitter","social","via","post",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":135,"publishedAt":29},"01M6GJT8S1PXQ8WPXT1HSNBWH2","writing-plans","Write implementation plans: bite-sized tasks, paths, code.","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Fregistry\u002Fskills\u002Fwriting-plans\u002Fvariants\u002Fhermes-agent\u002FSKILL.md",[124,127,130,131,132],{"categoryNo":125,"categoryName":126,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":128,"categoryName":129,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},{"categoryNo":133,"categoryName":134,"taxonomyType":102,"taxonomyTypeDesc":103},"01JBSEEDCAT000000000000036","内容创作者",[136,137,138,139,21,140,22,141,23,142,143,144,145,146,147,148,149,150,151,152],"writing","writing plans","plans","design","review","workflow","documentation","tasks","development","code","planning","code-review","subagent","write","superpowers","paths","test-driven-development",{"skillNo":154,"name":155,"nameZh":6,"description":156,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":157,"categories":158,"keywords":162,"publishedAt":29},"01M6GJST0H5X7WHBJ3BZK0DVKH","whisper","OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Fregistry\u002Fskills\u002Fwhisper\u002Fvariants\u002Fhermes-agent-optional\u002FSKILL.md",[159],{"categoryNo":160,"categoryName":161,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000016","图像与多媒体",[155,21,22,163,164,165,166,167,168,169,170,171,28,172,173,174,175,176,177,178],"openai","speech","multimodal","Transformers","ASR","Audio","text","model","speech recognition","general","multilingual","translation","english","identification","processing","Audio Processing",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":188,"publishedAt":29},"01M6GJSMRQ8EETZTYMG72P70EA","weights-and-biases","W&B: log ML experiments, sweeps, model registry, dashboards.","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Fregistry\u002Fskills\u002Fweights-and-biases\u002Fvariants\u002Fhermes-agent\u002FSKILL.md",[185],{"categoryNo":186,"categoryName":187,"taxonomyType":94,"taxonomyTypeDesc":95},"01JBSEEDCAT000000000000013","分析与可视化",[189,21,190,191,23,192,193,194,195,196,197,170,198,199,200,201,202,203,204,205],"weights and biases","tensorflow","experiments","pytorch","visualization","registry","real-time","tuning","dashboards","experiment","log","time","Experiment Tracking","Model Registry","Hyperparameter Tuning","WandB","Real-Time Visualization",{"skillNo":207,"name":208,"nameZh":6,"description":209,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":210,"categories":211,"keywords":213,"publishedAt":29},"01M6GJS19KDPRY112JTR326S06","watchers","Poll RSS, JSON APIs, and GitHub with watermark dedup.","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Fregistry\u002Fskills\u002Fwatchers\u002Fvariants\u002Fhermes-agent-optional\u002FSKILL.md",[212],{"categoryNo":97,"categoryName":98,"taxonomyType":94,"taxonomyTypeDesc":95},[208,21,214,107,22,215,216,217,218,219,220,26,27,221,222],"terminal","automation","http","monitoring","cron","json","rss","devops","with",{"skillNo":224,"name":225,"nameZh":6,"description":226,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":227,"categories":228,"keywords":231,"publishedAt":29},"01M6GJRHJD2A6Q830SWF9W48BC","serving-llms-vllm","vLLM: high-throughput LLM serving, OpenAI API, quantization.","https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Fregistry\u002Fskills\u002Fvllm\u002Fvariants\u002Fhermes-agent\u002FSKILL.md",[229,230],{"categoryNo":92,"categoryName":93,"taxonomyType":94,"taxonomyTypeDesc":95},{"categoryNo":100,"categoryName":101,"taxonomyType":102,"taxonomyTypeDesc":103},[232,233,234,22,235,163,236,237,238,166,239,112,240,241,242,243,244,245,246,247],"llms","vLLM","serving llms vllm","research","openai api","tensor","Inference Serving","Production","llm serving","High Throughput","PagedAttention","Continuous Batching","Quantization","Tensor Parallelism","high-throughput","throughput"]