[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6DBZ02HZ1BVG3B9P4P859KM":3,"skill-same:01M6DBZ02HZ1BVG3B9P4P859KM":76},{"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":23,"publishedAt":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":54,"commitSha":55,"skillDirectory":56,"forksCount":57,"repositoryHtmlUrl":58,"repositoryHomepageUrl":6,"ownerHtmlUrl":59,"ownerBlogUrl":6,"ownerDescription":60,"updatedAt":61,"install":62,"resources":75},"01M6DBZ02HZ1BVG3B9P4P859KM","sedori-greeting",null,"Greet other bots with seed42 memory-based random topics and report sedori business status","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\u002F07\u002F07d31abc5ebf6937c6280afc8589eb9f354d6073f43f709b1879358b871fd47f\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000034","行政与办公人员","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37],"greeting","sedori greeting","macos","linux","memory","status","windows","report","hermes","hermes agent","business","devops","greet","bots","2026-11-10 10:12:30",false,"---\nname: sedori-greeting\ndescription: Greet other bots with seed42 memory-based random topics and report sedori business status\nversion: 1.0.0\nauthor: Hermes Agent\nlicense: MIT\nplatforms: [linux, macos, windows]\nmetadata:\n  hermes:\n    tags: [sedori, greeting, report, random, seed42]\n    category: devops\n    requires_toolsets: [none]\n---\n\n# SDLC Greeting Skill\n\nGenerate seed42 memory-based random topics for greeting other agents, and produce sedori business report summaries.\n\n## When to Use\n\n- When the cron heartbeat tick fires (controlled by ticker_heartbeat \u002F ticker_last_success)\n- To send a greeting to other agents via the a2a Bot Chat\n- To report current sedori business status as a random topic\n\n## How to Run\n\n### Greeting Mode\n\n```text\npython greet.py --mode greeting --seed 42\n```\n\nThis generates a random topic based on seed42 and sends a greeting to other bots via the a2a Bot Chat.\n\n### Report Mode\n\n```text\npython greet.py --mode report --seed 42\n```\n\nThis generates a sedori business report with a random topic and reports it.\n\n## Random Topic Generation\n\nUses seed42 as the base seed for reproducible random topic selection. Topics are drawn from sedori inventory categories and market observations.\n\nExample topics:\n- Game consoles and controllers reselling\n- Funko Pop sticker market trends\n- Small electronics price spreads\n- LEGO resale opportunities\n- Outdoor clothing category analysis\n\n## Sedori Business Report\n\nReports current state including:\n- Last heartbeat timestamp\n- Last success timestamp\n- Randomly selected topic\n- Status of inventory categories\n\n## Configuration\n\n- seed42 base seed: 42 (hardcoded for reproducibility)\n- a2a agent: sedori-buyer on port 9911\n- Cron timing: ticker_heartbeat and ticker_last_success","# SDLC Greeting Skill\n\nGenerate seed42 memory-based random topics for greeting other agents, and produce sedori business report summaries.\n\n## When to Use\n\n- When the cron heartbeat tick fires (controlled by ticker_heartbeat \u002F ticker_last_success)\n- To send a greeting to other agents via the a2a Bot Chat\n- To report current sedori business status as a random topic\n\n## How to Run\n\n### Greeting Mode\n\n```text\npython greet.py --mode greeting --seed 42\n```\n\nThis generates a random topic based on seed42 and sends a greeting to other bots via the a2a Bot Chat.\n\n### Report Mode\n\n```text\npython greet.py --mode report --seed 42\n```\n\nThis generates a sedori business report with a random topic and reports it.\n\n## Random Topic Generation\n\nUses seed42 as the base seed for reproducible random topic selection. Topics are drawn from sedori inventory categories and market observations.\n\nExample topics:\n- Game consoles and controllers reselling\n- Funko Pop sticker market trends\n- Small electronics price spreads\n- LEGO resale opportunities\n- Outdoor clothing category analysis\n\n## Sedori Business Report\n\nReports current state including:\n- Last heartbeat timestamp\n- Last success timestamp\n- Randomly selected topic\n- Status of inventory categories\n\n## Configuration\n\n- seed42 base seed: 42 (hardcoded for reproducibility)\n- a2a agent: sedori-buyer on port 9911\n- Cron timing: ticker_heartbeat and ticker_last_success",{"name":5,"author":43,"license":15,"version":44,"metadata":45,"platforms":53,"description":7},"Hermes Agent","1.0.0",{"hermes":46},{"tags":47,"category":35,"requires_toolsets":51},[48,24,31,49,50],"sedori","random","seed42",[52],"none",[27,26,30],"main","0d1434f89f4bc6b07e9d272accd8c1013768820f","archive\u002Fskill-md-reviewed\u002Fsha256\u002F07\u002F07d31abc5ebf6937c6280afc8589eb9f354d6073f43f709b1879358b871fd47f",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":63,"prompt":73,"zipAvailable":74},[64,67,70],{"tool":65,"command":66},"npx","npx skills add zapabob\u002FSkills --skill sedori-greeting",{"tool":68,"command":69},"bunx","bunx skills add zapabob\u002FSkills --skill sedori-greeting",{"tool":71,"command":72},"pnpm","pnpm dlx skills add zapabob\u002FSkills --skill sedori-greeting","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fzapabob\u002FSkills\u002Fblob\u002Fmain\u002Farchive\u002Fskill-md-reviewed\u002Fsha256\u002F07\u002F07d31abc5ebf6937c6280afc8589eb9f354d6073f43f709b1879358b871fd47f\u002FSKILL.md",true,[],[77,108,143,170,197,213],{"skillNo":78,"name":79,"nameZh":6,"description":80,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":81,"categories":82,"keywords":94,"publishedAt":38},"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",[83,88,91],{"categoryNo":84,"categoryName":85,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":89,"categoryName":90,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":92,"categoryName":93,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师",[79,95,26,96,97,27,30,98,99,100,101,102,103,32,33,104,54,105,106,107],"openclaw","cli","github","official","search","https","social-media","api","Media","twitter","social","via","post",{"skillNo":109,"name":110,"nameZh":6,"description":111,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":112,"categories":113,"keywords":125,"publishedAt":38},"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",[114,117,120,121,122],{"categoryNo":115,"categoryName":116,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000015","视觉设计",{"categoryNo":118,"categoryName":119,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000018","写作与文案",{"categoryNo":89,"categoryName":90,"taxonomyType":86,"taxonomyTypeDesc":87},{"categoryNo":92,"categoryName":93,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":123,"categoryName":124,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000036","内容创作者",[126,127,128,129,26,130,27,131,30,132,133,134,135,136,137,138,139,140,141,142],"writing","writing plans","plans","design","review","workflow","documentation","tasks","development","code","planning","code-review","subagent","write","superpowers","paths","test-driven-development",{"skillNo":144,"name":145,"nameZh":6,"description":146,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":147,"categories":148,"keywords":152,"publishedAt":38},"01M6GJST0H5X7WHBJ3BZK0DVKH","whisper","OpenAI's general-purpose speech recognition model. 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