[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-related-ru-arekejoker-qwen21-nsfw-pose-skill":3},{"items":4,"total":91,"page":92,"pageSize":93},[5,25,42,59,76],{"slug":6,"name":7,"title":7,"skillCategorySlug":8,"summary":9,"description":10,"skillCategoryName":11,"sourceUrl":12,"downloadUrl":13,"cliCommand":14,"authorName":-1,"version":-1,"license":15,"stars":16,"trendScore":17,"qualityScore":18,"recommendedTools":19,"recommendedToolNames":19,"supportedClients":20,"clients":21,"tags":22,"installHint":14,"useCases":23,"updatedAt":24},"stas00-ml-engineering","stas00\u002Fml-engineering","data-science-ml","Machine Learning Engineering Open Book","This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.\n\nThis is a technical material suitable for LLM\u002FVLM training engineers and operators. That is the content here contains lots of scripts and copy-n-paste commands to enable you to quickly address your needs.\n\nThis repo is an ongoing brain dump of my experiences training Large Language Models (LLM) (and VLMs); a lot of the know-how I acquired while training the open-source BLOOM-176B model in 2022 and IDEFICS-80B multi-modal model in 2023, and RAG models at Contextual.AI in 2024.\n\nI've been compiling this information mostly for myself so that I could quickly find solutions I have already researched in the past and which have worked, but as usual I'm happy to share these notes with the wider ML community.\n\n1. - what you need to know in order to succeed.\n\n1.","Data science & ML","https:\u002F\u002Fgithub.com\u002Fstas00\u002Fml-engineering","https:\u002F\u002Fgithub.com\u002Fstas00\u002Fml-engineering\u002Farchive\u002FHEAD.zip","npx skillfish add stas00\u002Fml-engineering","CC-BY-SA-4.0",19522,93,74,[],[],[],[8,15],[],"2026-08-30T08:29:20.79141",{"slug":26,"name":27,"title":27,"skillCategorySlug":8,"summary":28,"description":28,"skillCategoryName":11,"sourceUrl":29,"downloadUrl":30,"cliCommand":31,"authorName":-1,"version":-1,"license":32,"stars":33,"trendScore":34,"qualityScore":35,"recommendedTools":36,"recommendedToolNames":36,"supportedClients":37,"clients":38,"tags":39,"installHint":31,"useCases":40,"updatedAt":41},"hkustdial-supervisor-skills","hkustdial\u002Fsupervisor-skills","- 🤝 团队与**达成合作，Supervisor-Skills 正式作为**的核心科研技能完成部署，驱动「」与「」两大官方能力，将本项目沉淀的科研方法论带给亿级用户。 - 🚀 ：新增 paper-writer（证据门控的论文正文写作）、paper-polish（忠于原意的语言润色）、deep-research（综述级文献调研）三个技能；intro-drafter...","https:\u002F\u002Fgithub.com\u002Fhkustdial\u002Fsupervisor-skills","https:\u002F\u002Fgithub.com\u002Fhkustdial\u002Fsupervisor-skills\u002Farchive\u002FHEAD.zip","npx skillfish add hkustdial\u002Fsupervisor-skills","NOASSERTION",9552,88,63,[],[],[],[8,32],[],"2026-07-24T01:27:07.34274",{"slug":43,"name":44,"title":44,"skillCategorySlug":8,"summary":45,"description":45,"skillCategoryName":11,"sourceUrl":46,"downloadUrl":47,"cliCommand":48,"authorName":-1,"version":-1,"license":49,"stars":50,"trendScore":51,"qualityScore":52,"recommendedTools":53,"recommendedToolNames":53,"supportedClients":54,"clients":55,"tags":56,"installHint":48,"useCases":57,"updatedAt":58},"astroautomata-pysr","astroautomata\u002Fpysr","If you find PySR useful, please cite the paper arXiv:2305.01582. If you've finished a project with PySR, please submit a PR to showcase your work on the research showcase page!","https:\u002F\u002Fgithub.com\u002Fastroautomata\u002Fpysr","https:\u002F\u002Fgithub.com\u002Fastroautomata\u002Fpysr\u002Farchive\u002FHEAD.zip","npx skillfish add astroautomata\u002Fpysr","Apache-2.0",3802,81,77,[],[],[],[8,49],[],"2026-07-25T02:58:30.068082",{"slug":60,"name":61,"title":61,"skillCategorySlug":8,"summary":62,"description":62,"skillCategoryName":11,"sourceUrl":63,"downloadUrl":64,"cliCommand":65,"authorName":-1,"version":-1,"license":66,"stars":67,"trendScore":68,"qualityScore":69,"recommendedTools":70,"recommendedToolNames":70,"supportedClients":71,"clients":72,"tags":73,"installHint":65,"useCases":74,"updatedAt":75},"powerycy-goutoujunshi","powerycy\u002Fgoutoujunshi","升级打怪开源社区 首批开放共建项目 · 点击组织首页右上角 Follow ，及时获取新项目与共建活动","https:\u002F\u002Fgithub.com\u002Fpowerycy\u002Fgoutoujunshi","https:\u002F\u002Fgithub.com\u002Fpowerycy\u002Fgoutoujunshi\u002Farchive\u002FHEAD.zip","npx skillfish add powerycy\u002Fgoutoujunshi","MIT",7866,80,71,[],[],[],[8,66],[],"2026-08-05T04:12:54.909383",{"slug":77,"name":78,"title":78,"skillCategorySlug":8,"summary":79,"description":80,"skillCategoryName":11,"sourceUrl":81,"downloadUrl":82,"cliCommand":83,"authorName":-1,"version":-1,"license":66,"stars":84,"trendScore":68,"qualityScore":69,"recommendedTools":85,"recommendedToolNames":85,"supportedClients":86,"clients":87,"tags":88,"installHint":83,"useCases":89,"updatedAt":90},"shengjidaguai-china-goutoujunshi","shengjidaguai-china\u002Fgoutoujunshi","一个先接住情绪、再分析关系并给出可执行策略的 Codex 恋爱军师，内置心理、法律、社会、人文、哲学、婚姻家庭与性学知识库，支持多元关系。","升级打怪开源社区 首批开放共建项目 · 点击组织首页右上角 Follow ，及时获取新项目与共建活动\n\n面向心动、暧昧、追求、冲突、分手与复合的 AI 恋爱军师， 结合情绪支持、关系科学、聊天记录分析和长期记忆，把复杂关系变成可执行的下一步。\n\n如果它能让你少一次内耗、多一次清醒，欢迎点亮一个 ⭐ Star ：方便以后回来，也帮助更多有同样困惑的人发现它。\n\n很多恋爱建议只有两个答案：“勇敢去追”或“赶紧分手”。狗头军师不会只凭一句话替你下结论：它先接住情绪，再把事实、推测和未知拆开；既看心动，也看现实条件、互惠、风险、机会成本和长期选择权，最后给出可以真正执行的下一步。\n\n它不只是一个话术库。它能读取聊天截图、导出文本和用户转述，区分素材来源与事实边界；也能把分析落到一句可发送的话、一次具体邀约、第一次见面安排或一段可复盘的对话演练。它是一套覆盖恋爱全周期、面向多元关系、能够解释建议理由的 Codex Skill。\n\n狗头军师支持异性恋、男同性恋、女同性恋、双性恋、泛性恋、无性恋等不同性取向，也尊重跨性别、非二元性别及其他性别身份。它同样可以讨论单身约会、长期伴侣、婚姻、异地、再婚、跨文化关系，以及建立在知情同意基础上的非单偶关系。\n\n系统不假设固定的性别角色：男女和多元性别用户都可以主动，任何人也都可以选择高主动模式。对于中国常见的男女性约会语境，系统可能在没有明确拒绝或不适时建议男性把主动度提高一级，但这只是可被个人偏好和现实反馈覆盖的文化校准，不是“男性必须追、女性只能等”的定律。判断依据始终是具体的人、具体行为、双方意愿和现实条件。\n\n项目将核心关系知识、实用沟通和工具适配分开维护，并按当前问题只加载必要资料。覆盖：","https:\u002F\u002Fgithub.com\u002Fshengjidaguai-china\u002Fgoutoujunshi","https:\u002F\u002Fgithub.com\u002Fshengjidaguai-china\u002Fgoutoujunshi\u002Farchive\u002FHEAD.zip","npx skillfish add shengjidaguai-china\u002Fgoutoujunshi",7869,[],[],[],[8,66],[],"2026-09-04T00:56:44.659672",161,1,5]