[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6M2P05H42M1EEGRH7HHCDYM":3,"skill-same:01M6M2P05H42M1EEGRH7HHCDYM":75},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":17,"publishedAt":40,"linkOnly":41,"markdownContent":42,"markdownBody":43,"frontMatter":44,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":13,"repositoryHtmlUrl":59,"repositoryHomepageUrl":6,"ownerHtmlUrl":60,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":61,"install":62,"resources":74},"01M6M2P05H42M1EEGRH7HHCDYM","seedance-vocab-en",null,"This skill should be used when an English Seedance 2.0 prompt is slop-heavy, generic, padded with empty quality words, tripping false-positive filters, or needs precise English production vocabulary for camera, lighting, motion, VFX, audio, and constraints.","endman100\u002Fskill-router-nexus","endman100","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F31997019?v=4","01M6KPDX17BYDWW4RRB0TNGGMX","01M6KPDX64Y2QBEWVFG5W5PWPF",0,"MIT","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FVideo-Generation\u002Fseedance-20\u002Fskills\u002Fseedance-vocab-en\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39],"seedance vocab en","en","seedance","false","when","generic","vfx","slop","for","true","with","english","github","lighting","anti-slop","motion","filters","prompt","quality","Audio","false-positive","https","2026-11-10 10:12:30",false,"---\nname: seedance-vocab-en\ndescription: \"This skill should be used when an English Seedance 2.0 prompt is slop-heavy, generic, padded with empty quality words, tripping false-positive filters, or needs precise English production vocabulary for camera, lighting, motion, VFX, audio, and constraints.\"\nlicense: MIT\nuser-invocable: true\ntags:\n  - english\n  - vocabulary\n  - anti-slop\n  - seedance-20\nmetadata:\n  version: \"6.6.0\"\n  updated: \"2026-07-04\"\n  parent: \"seedance-20\"\n  author: \"Iamemily2050 (@iamemily2050)\"\n  repository: \"https:\u002F\u002Fgithub.com\u002FEmily2040\u002Fseedance-2.0\"\n  openclaw:\n    emoji: \"?\"\n    homepage: \"https:\u002F\u002Fgithub.com\u002FEmily2040\u002Fseedance-2.0\"\n---\n\n# seedance-vocab-en\n\nEnglish is the default prompting language and fails in two ways at once: slop (empty evaluation words that add tokens and no signal) and false positives (vague threat-adjacent wording that trips the heaviest moderation surface). The cure for both is the same: concrete production English. Preserve reference tags exactly: `[Image1]`, `[Video1]`, `[Audio1]` must never be reworded.\n\n## Intent\n\nEnglish is where most users think, and where most prompts quietly rot. The soul of this vocabulary is precision as kindness: give people exact words so their excitement survives contact with the model, and so honest prompts stop being mistaken for dangerous ones.\n\n## Usage Rule\n\nIf a camera, microphone, light meter, or stopwatch cannot detect it, rewrite it. Every sentence should name something visible, audible, or measurable: subject, visible action, camera, light source, sound, constraint.\n\n| Function | English wording |\n|---|---|\n| Camera | `slow push-in`, `locked medium shot`, `stable lateral tracking`, `pull back to reveal`, `macro close-up` |\n| Lighting | `soft backlight`, `warm practical light from the left`, `cool moonlight rim`, `wet asphalt reflecting neon` |\n| Motion | `a slow head turn that stops`, `droplets merge and slide down`, `fabric settles after the gesture` |\n| Audio | `quiet room tone`, `one clear spoken line in quotes`, `no music until after the line` |\n| Constraints | `keep the logo, label, and shape unchanged`, `one action, one camera move`, `nothing else moves` |\n\n## De-Slop Pass\n\nStrip quality adjectives before adding anything: `cinematic`, `epic`, `stunning`, `masterpiece`, `8K`, `ultra-realistic`, `award-winning`, `hyper-detailed` all delete or convert to one observable detail each. A prompt that earns \"epic\" names the crowd size, the lens distance, or the structure height instead of the word.\n\n## Filter-Aware Wording\n\nEnglish homonyms read as threats to filters: `shoot the scene`, `kill the lights`, `gun it`, `dead silence`, `blow up the image`. Use the production synonym (`film the take`, `cut the lights to black`, `accelerate hard`, `held silence`, `enlarge to full frame`). This is clarity for safe prompts only — never evasion. Anything genuinely risky (minors, real-person likeness, sexual or graphic content) routes to `[skill:seedance-filter]` for its boundary rule, not to a rewording.\n\n## Compact Pattern\n\n`[Image1] is the reference; keep identity, color, and shape unchanged. Only [motion\u002Flight\u002Fcamera] changes. Camera: [one move]. Sound: [one cue]. Constraints: [lock].`\n\nLoad `references\u002Fvocab\u002Fen.md` for the full function-organized vocabulary, slop traps, and filter-trip repairs. Load `[ref:anti-slop-lexicon]` for the core replacement rule and `[ref:filter-vocab]` for the full false-positive repair table.\n\n## Output Contract\n\nReturn the de-slopped English prompt, each replacement made (slop → observable detail), any filter-trip repair applied, and unchanged reference tags.\n","# seedance-vocab-en\n\nEnglish is the default prompting language and fails in two ways at once: slop (empty evaluation words that add tokens and no signal) and false positives (vague threat-adjacent wording that trips the heaviest moderation surface). The cure for both is the same: concrete production English. Preserve reference tags exactly: `[Image1]`, `[Video1]`, `[Audio1]` must never be reworded.\n\n## Intent\n\nEnglish is where most users think, and where most prompts quietly rot. The soul of this vocabulary is precision as kindness: give people exact words so their excitement survives contact with the model, and so honest prompts stop being mistaken for dangerous ones.\n\n## Usage Rule\n\nIf a camera, microphone, light meter, or stopwatch cannot detect it, rewrite it. Every sentence should name something visible, audible, or measurable: subject, visible action, camera, light source, sound, constraint.\n\n| Function | English wording |\n|---|---|\n| Camera | `slow push-in`, `locked medium shot`, `stable lateral tracking`, `pull back to reveal`, `macro close-up` |\n| Lighting | `soft backlight`, `warm practical light from the left`, `cool moonlight rim`, `wet asphalt reflecting neon` |\n| Motion | `a slow head turn that stops`, `droplets merge and slide down`, `fabric settles after the gesture` |\n| Audio | `quiet room tone`, `one clear spoken line in quotes`, `no music until after the line` |\n| Constraints | `keep the logo, label, and shape unchanged`, `one action, one camera move`, `nothing else moves` |\n\n## De-Slop Pass\n\nStrip quality adjectives before adding anything: `cinematic`, `epic`, `stunning`, `masterpiece`, `8K`, `ultra-realistic`, `award-winning`, `hyper-detailed` all delete or convert to one observable detail each. A prompt that earns \"epic\" names the crowd size, the lens distance, or the structure height instead of the word.\n\n## Filter-Aware Wording\n\nEnglish homonyms read as threats to filters: `shoot the scene`, `kill the lights`, `gun it`, `dead silence`, `blow up the image`. Use the production synonym (`film the take`, `cut the lights to black`, `accelerate hard`, `held silence`, `enlarge to full frame`). This is clarity for safe prompts only — never evasion. Anything genuinely risky (minors, real-person likeness, sexual or graphic content) routes to `[skill:seedance-filter]` for its boundary rule, not to a rewording.\n\n## Compact Pattern\n\n`[Image1] is the reference; keep identity, color, and shape unchanged. Only [motion\u002Flight\u002Fcamera] changes. Camera: [one move]. Sound: [one cue]. Constraints: [lock].`\n\nLoad `references\u002Fvocab\u002Fen.md` for the full function-organized vocabulary, slop traps, and filter-trip repairs. Load `[ref:anti-slop-lexicon]` for the core replacement rule and `[ref:filter-vocab]` for the full false-positive repair table.\n\n## Output Contract\n\nReturn the de-slopped English prompt, each replacement made (slop → observable detail), any filter-trip repair applied, and unchanged reference tags.\n",{"name":5,"tags":45,"license":14,"metadata":48,"description":7,"user-invocable":55},[29,46,32,47],"vocabulary","seedance-20",{"author":49,"parent":47,"updated":50,"version":51,"openclaw":52,"repository":54},"Iamemily2050 (@iamemily2050)","2026-07-04","6.6.0",{"emoji":53,"homepage":54},"?","https:\u002F\u002Fgithub.com\u002FEmily2040\u002Fseedance-2.0",true,"main","f19b254e8975d0bfddb394686706106930d7964d","Video-Generation\u002Fseedance-20\u002Fskills\u002Fseedance-vocab-en","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus","https:\u002F\u002Fgithub.com\u002Fendman100","2026-11-12 18:13:37",{"source":8,"skillName":5,"commands":63,"prompt":73,"zipAvailable":55},[64,67,70],{"tool":65,"command":66},"npx","npx skills add endman100\u002Fskill-router-nexus --skill seedance-vocab-en",{"tool":68,"command":69},"bunx","bunx skills add endman100\u002Fskill-router-nexus --skill seedance-vocab-en",{"tool":71,"command":72},"pnpm","pnpm dlx skills add endman100\u002Fskill-router-nexus --skill seedance-vocab-en","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FVideo-Generation\u002Fseedance-20\u002Fskills\u002Fseedance-vocab-en\u002FSKILL.md",[],[76,99,135,155,164,188],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":80,"sourceHtmlUrl":81,"categories":82,"keywords":88,"publishedAt":40},"01M6MPCT5BXVER8HQZTW3QE9AS","create-master","基于佛教经典文献，生成特定高僧大德的 AI 教学角色","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FMetaphysics-and-Spirituality\u002FMaster-skill\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FMetaphysics-and-Spirituality\u002FMaster-skill\u002FSKILL.md",[83],{"categoryNo":84,"categoryName":85,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000039","教师与教育","PROFESSION","适用职业",[89,90,91,92,27,93,94,95,96,97,98],"create master","master","create","生成","webfetch","edit","write","read","grep","Bash",{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":103,"sourceHtmlUrl":104,"categories":105,"keywords":117,"publishedAt":40},"01M6M43AKE95Y64E1JRXEF5QQ3","writing-dna-skill","从至少 20 篇完整文章中蒸馏可复用的写作 DNA，分析语言、文章结构、选题逻辑、素材策略、认知框架和视觉风格，并生成 Writing-DNA.md；按该 DNA 写作时会读取全部蒸馏产物和 5 篇相关原文。用于中英文作者、账号、品牌或出版物的风格分析与一致性写作。 Distill reusable Writing DNA from at least 20 complete articles for Chinese or English authors, publications, brands, and accounts; use for language, structure, topic logic, source strategy, cognitive-frame, and visual-style analysis.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fwriting-dna-skill\u002FSKILL.md",[106,111,114],{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000018","写作与文案","SCENARIO","使用场景",{"categoryNo":112,"categoryName":113,"taxonomyType":109,"taxonomyTypeDesc":110},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":115,"categoryName":116,"taxonomyType":86,"taxonomyTypeDesc":87},"01JBSEEDCAT000000000000036","内容创作者",[118,119,120,121,29,122,123,124,125,126,127,128,129,92,130,131,132,26,133,134],"writing dna skill","DNA","writing","strategy","logic","visual","structure","chinese","reusable","use","style","distill","analysis","frame","source","at","complete",{"skillNo":136,"name":137,"nameZh":6,"description":138,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":139,"sourceHtmlUrl":140,"categories":141,"keywords":144,"publishedAt":40},"01M6M428TTCGQ4ME3KY99VN037","stop-slop","Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fstop-slop\u002FSKILL.md",[142,143],{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},{"categoryNo":115,"categoryName":116,"taxonomyType":86,"taxonomyTypeDesc":87},[25,145,146,147,22,148,39,149,150,127,151,152,153,26,154,120],"stop slop","stop","drafting","drafts","patterns","prose","remove","editing","text","content",{"skillNo":156,"name":157,"nameZh":6,"description":158,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":159,"sourceHtmlUrl":160,"categories":161,"keywords":162,"publishedAt":40},"01M6M41X0B7EBX42TK435DMGGR","shuorenhua","检查和清理中英文文本里的 AI 套路，适用于“去 AI 味”“说人话”“自然一点”“别像模板”“先标问题”这类改写和审稿需求；按场景控制力度，同时保留事实、术语、语域和责任主体。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fshuorenhua\u002FSKILL.md",[],[157,163],"文本",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":168,"sourceHtmlUrl":169,"categories":170,"keywords":171,"publishedAt":40},"01M6M3ZD12WBEW5KXKDM4N6DFG","naming","Name products, SaaS, brands, open source projects, bots, and apps. Use when the user needs to name something, find a brand name, or pick a product name. Metaphor-driven process that produces memorable, meaningful names and avoids AI slop.","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fnaming-main\u002FSKILL.md",[],[166,172,173,174,175,176,127,177,96,132,178,179,180,181,98,182,183,184,185,22,186,187,25],"repo","websearch","product name","apps","bots","view","brand","pick","gh","projects","open","saas","open source","product","describe","ai slop",{"skillNo":189,"name":190,"nameZh":6,"description":191,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":192,"sourceHtmlUrl":193,"categories":194,"keywords":196,"publishedAt":40},"01M6M3YVXAFAAWJ7F6JMPFREYE","humanizer-zh","去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。\n基于维基百科的\"AI 写作特征\"综合指南。检测并修复以下模式：夸大的象征意义、\n宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、\nAI 词汇、否定式排比、过多的连接性短语。","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FLICENSE","https:\u002F\u002Fgithub.com\u002Fendman100\u002Fskill-router-nexus\u002Fblob\u002Fmain\u002FWriting-and-Content\u002Fhumanizer-zh\u002FSKILL.md",[195],{"categoryNo":107,"categoryName":108,"taxonomyType":109,"taxonomyTypeDesc":110},[197,198,199,96,95,94,120,92,163,200,25,146],"humanizer","zh","humanizer zh","翻译"]