[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M70KXK8PA01BKZ8C4PBYVRVW":3,"skill-same:01M70KXK8PA01BKZ8C4PBYVRVW":96},{"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":31,"publishedAt":51,"linkOnly":52,"markdownContent":53,"markdownBody":54,"frontMatter":55,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":61,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M70KXK8PA01BKZ8C4PBYVRVW","autoresearch",null,"Autonomous ML research agent inspired by Karpathy's autoresearch. Given a training codebase, the agent runs continuous experimentation loops: modify model code, train for 5 minutes, check if val_bpb improved, keep or discard changes. Use when the user mentions 'start autoresearch', 'auto experiment', 'train agent', 'autonomous research', '自动实验', '自动训练', '自动优化模型'.","shengdabai\u002FTony-Claude-Code-Skills","shengdabai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F116417419?v=4","01M70F6D2WY5PQV5A92BKYJQEW","Tony Sheng","01M70F6D3GAAAYZ5H4CC1G8VXM",3,"MIT","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fautoresearch\u002FSKILL.md",[18,23,26],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[5,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"keep","start","codebase","karpathy","changes","research","loops","check","Autonomous Research","code","ml","when","use","auto","autonomous","training","for","model","research agent","2026-11-10 10:12:30",false,"---\nname: autoresearch\ndescription: \"Autonomous ML research agent inspired by Karpathy's autoresearch. Given a training codebase, the agent runs continuous experimentation loops: modify model code, train for 5 minutes, check if val_bpb improved, keep or discard changes. Use when the user mentions 'start autoresearch', 'auto experiment', 'train agent', 'autonomous research', '自动实验', '自动训练', '自动优化模型'.\"\n---\n\n# Autoresearch — Autonomous ML Research Agent\n\n## Overview\n\nKarpathy's autoresearch gives an AI agent a small but real LLM training setup and lets it experiment autonomously. The agent modifies code, trains, checks results, keeps or discards changes, and repeats indefinitely.\n\n## Files\n\n- **`prepare.py`** — Fixed constants, data prep, tokenizer, dataloader, evaluation. Do NOT modify.\n- **`train.py`** — The single file the agent edits. Model architecture, optimizer, training loop.\n- **`program.md`** — Full agent instructions for the autonomous research loop (read this to understand how to run).\n\n## How to Use\n\n1. Read `program.md` for the complete autonomous research workflow\n2. Set up the environment (NVIDIA GPU, Python 3.10+, uv)\n3. Run `uv sync` and `uv run prepare.py` to prepare data\n4. Start the autonomous loop — read `program.md` and follow the experiment loop instructions\n5. Let it run — the agent should NEVER stop on its own\n\n## Key Constraints\n\n- Only modify `train.py` — never `prepare.py`\n- Each experiment runs for exactly 5 minutes (fixed time budget)\n- Log results to `results.tsv` (tab-separated)\n- Keep only improvements (lower val_bpb), discard regressions\n- Use git branches (`autoresearch\u002F\u003Ctag>`) for experiment isolation\n\n## Reference\n\nSee `program.md` for the complete workflow including setup, experimentation loop, output format, and logging.\n","# Autoresearch — Autonomous ML Research Agent\n\n## Overview\n\nKarpathy's autoresearch gives an AI agent a small but real LLM training setup and lets it experiment autonomously. The agent modifies code, trains, checks results, keeps or discards changes, and repeats indefinitely.\n\n## Files\n\n- **`prepare.py`** — Fixed constants, data prep, tokenizer, dataloader, evaluation. Do NOT modify.\n- **`train.py`** — The single file the agent edits. Model architecture, optimizer, training loop.\n- **`program.md`** — Full agent instructions for the autonomous research loop (read this to understand how to run).\n\n## How to Use\n\n1. Read `program.md` for the complete autonomous research workflow\n2. Set up the environment (NVIDIA GPU, Python 3.10+, uv)\n3. Run `uv sync` and `uv run prepare.py` to prepare data\n4. Start the autonomous loop — read `program.md` and follow the experiment loop instructions\n5. Let it run — the agent should NEVER stop on its own\n\n## Key Constraints\n\n- Only modify `train.py` — never `prepare.py`\n- Each experiment runs for exactly 5 minutes (fixed time budget)\n- Log results to `results.tsv` (tab-separated)\n- Keep only improvements (lower val_bpb), discard regressions\n- Use git branches (`autoresearch\u002F\u003Ctag>`) for experiment isolation\n\n## Reference\n\nSee `program.md` for the complete workflow including setup, experimentation loop, output format, and logging.\n",{"name":5,"description":7},"main","7850740bd837adb32f0a109ab2af82482196c6f2","skills\u002Fautoresearch",1,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills","https:\u002F\u002Fzturnsgo.com","https:\u002F\u002Fgithub.com\u002Fshengdabai","https:\u002F\u002Fzturnsgo.com\u002F","AI × education creator — producer, not consumer. Taught 6,000+ learners; shipping learning tools & daily essays with Claude Code, practicing @xiaolai's way 🥋","2026-11-01 21:28:23",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add shengdabai\u002FTony-Claude-Code-Skills --skill autoresearch",{"tool":72,"command":73},"bunx","bunx skills add shengdabai\u002FTony-Claude-Code-Skills --skill autoresearch",{"tool":75,"command":76},"pnpm","pnpm dlx skills add shengdabai\u002FTony-Claude-Code-Skills --skill autoresearch","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fautoresearch\u002FSKILL.md",true,[80,86,92],{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"prepare.py","SCRIPT","脚本",15043,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fautoresearch\u002Fprepare.py",{"path":87,"resourceType":88,"resourceTypeDesc":89,"sizeBytes":90,"sourceHtmlUrl":91},"program.md","REFERENCE","参考文档",7039,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fautoresearch\u002Fprogram.md",{"path":93,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":94,"sourceHtmlUrl":95},"train.py",26230,"https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fautoresearch\u002Ftrain.py",[97,114,141,165,187,207],{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":106,"publishedAt":51},"01M70P17DAD4C1C47NPH6A96EM","xiaolai-methodology","以李笑来(Li Xiaolai)的思考方式、方法论与表达风格,为用户做全方位 1-on-1 教练指导,覆盖创业、赚钱、投资、学习、自学、读书写作、用 AI、以及人生心态与自我管理。当用户提到 \"李笑来\"、\"笑来\"、\"笑来老师\"、\"扮演李笑来\"、\"找笑来聊聊\"、\"笑来怎么看\"、\"xiaolai\"、\"把时间当作朋友\"、\"通往财富自由之路\"、\"定投改变命运\"、\"韭菜的自我修养\"、\"自学是门手艺\"、\"让时间陪你慢慢变富\"、\"七年就是一辈子\"、\"元认知\"、\"活在未来\"、\"复利\u002F长期主义\"、\"践行\"、\"痴迷改进\"、\"个人商业模式\u002F出售时间\"、\"睡后收入\"、\"定投\"、\"财富自由\"、\"操作系统升级\"、\"最少必要知识\"、\"北极星提示词\"、\"用 AI 该怎么学\u002F思考\" 等任一触发词,或当用户带着关于创业\u002F赚钱\u002F投资\u002F学习\u002F职业\u002F重大人生决策的困惑、希望被人用笑来式的「逻辑 + 大白话 + 类比 + 重新定义 + 践行导向」来点醒和指导时,自动进入李笑来教练模式。","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fxiaolai-methodology\u002FSKILL.md",[103],{"categoryNo":104,"categoryName":105,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000018","写作与文案",[107,108,109,110,111,112,113],"methodology","xiaolai","xiaolai methodology","朋友","投资","writing","收入",{"skillNo":115,"name":116,"nameZh":6,"description":117,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":118,"categories":119,"keywords":122,"publishedAt":51},"01M70P13NB9YP7ACJR1S861CDS","zread","Produce and consume a wiki-style knowledge base for a code repository via the `zread` CLI and its on-disk output under `.\u002F.zread\u002Fwiki\u002F`. Use this skill whenever the user wants to understand, onboard onto, explore, summarize, map, or get an overview of an unfamiliar codebase; asks for architecture docs, a project wiki, a repo walkthrough, module\u002Fpackage explanations, or \"what does this repo do\"; wants to generate, regenerate, resume, browse, or serve code documentation locally; or mentions zread \u002F zread.ai directly. Also use it proactively before diving into a large unknown repo — if `.\u002F.zread\u002Fwiki\u002Fcurrent` exists, read the generated pages instead of crawling source file-by-file; if it doesn't, consider offering to run `zread generate`. The trigger is the intent (understand a codebase through generated docs), not the literal word \"zread\".","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fzread\u002FSKILL.md",[120,121],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},[116,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,41,139,140],"knowledge","wiki","explore","walkthrough","project","get","knowledge base","run","generate","intent","cli","map","documentation","project wiki","disk","architecture","unknown","generated",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":151,"publishedAt":51},"01M70P10S4SWMZQ8BJAFBFDRW3","youtube","Launch the YouTube Creator Agent to auto-generate videos.\nUse when: user types \u002Fyoutube, wants to create YouTube videos,\ngenerate video content, or upload to YouTube.\nKeywords: youtube, video, 视频, 创作视频, 发布视频","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube\u002FSKILL.md",[147,148],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":149,"categoryName":150,"taxonomyType":29,"taxonomyTypeDesc":30},"01JBSEEDCAT000000000000036","内容创作者",[143,152,153,154,155,156,157,158,131,159,160,161,43,44,45,162,163,164],"user","content","视频","creator","generate video","videos","launch","video content","create","upload","types","Video","创作",{"skillNo":166,"name":167,"nameZh":6,"description":168,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":169,"categories":170,"keywords":172,"publishedAt":51},"01M70P0YE95D8BACZCGV8BK90K","youtube-script-sync","Sync, update, or optimize Tony's GetNote knowledge base `Youtube视频逐字稿` by turning each parent recording or first-person idea note into an idempotent child note containing a directly recordable YouTube long-video or Shorts script. Use when the user says “更新\u002F同步\u002F优化 Youtube视频逐字稿知识库”, or says “更新\u002F同步\u002F优化该知识库” while this knowledge base is the active context.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fyoutube-script-sync\u002FSKILL.md",[171],{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},[173,174,143,175,176,163,177,178,179,180,181,182,183,184,129,185,43,44,123,186],"sync","script","youtube script sync","recording","shorts","first","base","person","update","active","child","optimize","idempotent","long",{"skillNo":188,"name":189,"nameZh":6,"description":190,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":191,"categories":192,"keywords":197,"publishedAt":51},"01M70P0WMV5XT0EEC0N445PW07","writing-skills","How to write SKILL.md files that trigger reliably and teach effectively. Use when creating, improving, or reviewing Claude Code skills.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-skills\u002FSKILL.md",[193,194,195,196],{"categoryNo":104,"categoryName":105,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":27,"categoryName":28,"taxonomyType":29,"taxonomyTypeDesc":30},{"categoryNo":149,"categoryName":150,"taxonomyType":29,"taxonomyTypeDesc":30},[198,112,199,200,201,202,41,43,44,203,204,205,206],"writing skills","how","teach","write skill","write","claude code skills","files","how to","trigger",{"skillNo":208,"name":209,"nameZh":6,"description":210,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":211,"categories":212,"keywords":215,"publishedAt":51},"01M70P0SJFR4YVJQBGMHKGSKXT","writing-rules","How to write .claude\u002Frules\u002F files that Claude actually follows. Use when creating, improving, or reviewing project rules.","https:\u002F\u002Fgithub.com\u002Fshengdabai\u002FTony-Claude-Code-Skills\u002Fblob\u002Fmain\u002Fskills\u002Fxiaolai\u002Fnlpm\u002Fskills\u002Fnlpm\u002Fwriting-rules\u002FSKILL.md",[213,214],{"categoryNo":104,"categoryName":105,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":149,"categoryName":150,"taxonomyType":29,"taxonomyTypeDesc":30},[216,112,217,127,218,204,43,199,202,44,205],"Rules","writing rules","project rules"]