[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ESA3DFBKFDKNTTZG935PY2":3,"skill-same:01M6ESA3DFBKFDKNTTZG935PY2":85},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":64,"commitSha":65,"skillDirectory":66,"forksCount":67,"repositoryHtmlUrl":60,"repositoryHomepageUrl":6,"ownerHtmlUrl":68,"ownerBlogUrl":69,"ownerDescription":6,"updatedAt":70,"install":71,"resources":84},"01M6ESA3DFBKFDKNTTZG935PY2","trainyard-scene",null,"This prompt specifies a cinematic, photochemically inspired video scene on an urban commuter platform at dawn, detailing camera behavior, lens and filtration choices, color grade, lighting, atmosphere, sound design, and a two-part shot progression, with placeholders for subject, extras, and props. The outcome is a tightly art-directed, realistic-feeling sequence featuring an arriving train in misty morning light, culminating in an intimate character moment and a defined “poster frame” for finishing and delivery.","BetterPromptme\u002Fskills","BetterPromptme","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F235008483?v=4","01M6ENJCN1DPKXDTMKH0MSRQ9W","BetterPrompt","01M6ENJCSB6XDYSX89T8AM9S93",5,"MIT","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Ftrainyard-scene\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"trainyard scene","lighting","with","betterprompt","atmosphere","lens","color","platform","poster","delivery","design","Art","outcome","prompt","morning","Video","dawn","linux","github","cli","2026-11-10 10:12:30",false,"---\nname: trainyard-scene\ndescription: This prompt specifies a cinematic, photochemically inspired video scene on an urban commuter platform at dawn, detailing camera behavior, lens and filtration choices, color grade, lighting, atmosphere, sound design, and a two-part shot progression, with placeholders for subject, extras, and props. The outcome is a tightly art-directed, realistic-feeling sequence featuring an arriving train in misty morning light, culminating in an intimate character moment and a defined “poster frame” for finishing and delivery.\ncompatibility: Requires betterprompt >= 0.1.3\nmetadata:\n  openclaw:\n    homepage: https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\n    emoji: ?\n    requires:\n      anyBins:\n        - betterprompt\n        - bp\n    os:\n      - linux\n      - darwin\n    install:\n      - id: node\n        kind: node\n        package: betterprompt\n        bins: [betterprompt, bp]\n        label: Install BetterPrompt CLI (node)\n---\n\n## What it does\n\nThis prompt specifies a cinematic, photochemically inspired video scene on an urban commuter platform at dawn, detailing camera behavior, lens and filtration choices, color grade, lighting, atmosphere, sound design, and a two-part shot progression, with placeholders for subject, extras, and props. The outcome is a tightly art-directed, realistic-feeling sequence featuring an arriving train in misty morning light, culminating in an intimate character moment and a defined “poster frame” for finishing and delivery.\n\n> For more installation instructions go to https:\u002F\u002Fraw.githubusercontent.com\u002FBetterPromptme\u002Fskills\u002Frefs\u002Fheads\u002Fmain\u002Fbetterprompt\u002FSKILL.md to check out this skill.\n\n## Inputs\n\n\n### textInputs\n\nPass each text input using `--input \u003Ckey>=\u003Cvalue>` flags.\n\n| Variable key | Required? | Description | Defaults |\n| --- | ---: | --- | --- |\n| `props` | Optional | any prop you want to include in the shot | `paper coffee cup, rolling luggage, LED departure board (generic destinations)` |\n| `extras` | Optional | Describe extras in your scene | `commuters in muted tones; one cyclist pushing bike` |\n| `main_subject` | Optional | Describe your main subject | `mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side` |\n\n\n\n### Models and options\n\nThis skill's modality is: **`video`**.\n\nTo discover which `model` values you can use (and which `options` keys\u002Fvalues are valid for each model), run:\n\n```bash\nbetterprompt resources --models-only --json\n```\n\nThen filter the returned JSON array to entries where `modality` is `\"video\"`.\n\n## How to run\n\n### Step 1: Collect inputs\n\nFirst, run `betterprompt resources --models-only --json` and filter to `modality: \"video\"` to discover valid models and available options:\n\n```bash\nbetterprompt resources --models-only --json\n```\n\nUse only the models and option values that appear in the filtered results.\n\nThen collect all inputs from the human:\n\n- Optional text inputs (use defaults if not provided by the human):\n    - `props` (default: `paper coffee cup, rolling luggage, LED departure board (generic destinations)`)\n  - `extras` (default: `commuters in muted tones; one cyclist pushing bike`)\n  - `main_subject` (default: `mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side`)\n- Optional: model and options.\n  - Present the human with the default model **`sora-2`** and its available options. Look up `sora-2` in the `betterprompt resources` output (filtered to modality `\"video\"`) and show its `availableOptions` as: `key: val1, val2 (default), val3  |  key2: ...`. Mark a value `(default)` if it matches these defaults: `{\"seconds\":\"8\",\"size\":\"720x1280\"}`.\n  - If the human does not specify, defaults are used: model `sora-2`, options `{\"seconds\":\"8\",\"size\":\"720x1280\"}`. Other models from the resources call are also available.\n\n\n### Step 2: Run via BetterPrompt CLI\n\nUse the frontmatter's `name` as the positional argument (for this skill, use `trainyard-scene`).\n\nCommand form:\n\n```bash\nbetterprompt generate trainyard-scene \\\n  [--input \u003Ckey>=\u003Cvalue>] \\\n  [--model \u003Cmodel>] \\\n  [--options \u003Coptions JSON>] \\\n  [--json]\n```\n\nNotes:\n\n- Pass each text input as a separate `--input \u003Ckey>=\u003Cvalue>` flag.\n- If the human does **not** mention a model, **omit** `--model` and BetterPrompt will use the default model: **`sora-2`**.\n- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{\"seconds\":\"8\",\"size\":\"720x1280\"}`**.\n- If the run times out, the response will include a `runId` you can use to fetch the result later.\n\nExample (using defaults shown above):\n\n```bash\nbetterprompt generate trainyard-scene \\\n  --input 'props=paper coffee cup, rolling luggage, LED departure board (generic destinations)' \\\n  --input 'extras=commuters in muted tones; one cyclist pushing bike' \\\n  --input 'main_subject=mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side' \\\n  --model sora-2 \\\n  --options '{\"seconds\":\"8\",\"size\":\"720x1280\"}'\n```","## What it does\n\nThis prompt specifies a cinematic, photochemically inspired video scene on an urban commuter platform at dawn, detailing camera behavior, lens and filtration choices, color grade, lighting, atmosphere, sound design, and a two-part shot progression, with placeholders for subject, extras, and props. The outcome is a tightly art-directed, realistic-feeling sequence featuring an arriving train in misty morning light, culminating in an intimate character moment and a defined “poster frame” for finishing and delivery.\n\n> For more installation instructions go to https:\u002F\u002Fraw.githubusercontent.com\u002FBetterPromptme\u002Fskills\u002Frefs\u002Fheads\u002Fmain\u002Fbetterprompt\u002FSKILL.md to check out this skill.\n\n## Inputs\n\n\n### textInputs\n\nPass each text input using `--input \u003Ckey>=\u003Cvalue>` flags.\n\n| Variable key | Required? | Description | Defaults |\n| --- | ---: | --- | --- |\n| `props` | Optional | any prop you want to include in the shot | `paper coffee cup, rolling luggage, LED departure board (generic destinations)` |\n| `extras` | Optional | Describe extras in your scene | `commuters in muted tones; one cyclist pushing bike` |\n| `main_subject` | Optional | Describe your main subject | `mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side` |\n\n\n\n### Models and options\n\nThis skill's modality is: **`video`**.\n\nTo discover which `model` values you can use (and which `options` keys\u002Fvalues are valid for each model), run:\n\n```bash\nbetterprompt resources --models-only --json\n```\n\nThen filter the returned JSON array to entries where `modality` is `\"video\"`.\n\n## How to run\n\n### Step 1: Collect inputs\n\nFirst, run `betterprompt resources --models-only --json` and filter to `modality: \"video\"` to discover valid models and available options:\n\n```bash\nbetterprompt resources --models-only --json\n```\n\nUse only the models and option values that appear in the filtered results.\n\nThen collect all inputs from the human:\n\n- Optional text inputs (use defaults if not provided by the human):\n    - `props` (default: `paper coffee cup, rolling luggage, LED departure board (generic destinations)`)\n  - `extras` (default: `commuters in muted tones; one cyclist pushing bike`)\n  - `main_subject` (default: `mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side`)\n- Optional: model and options.\n  - Present the human with the default model **`sora-2`** and its available options. Look up `sora-2` in the `betterprompt resources` output (filtered to modality `\"video\"`) and show its `availableOptions` as: `key: val1, val2 (default), val3  |  key2: ...`. Mark a value `(default)` if it matches these defaults: `{\"seconds\":\"8\",\"size\":\"720x1280\"}`.\n  - If the human does not specify, defaults are used: model `sora-2`, options `{\"seconds\":\"8\",\"size\":\"720x1280\"}`. Other models from the resources call are also available.\n\n\n### Step 2: Run via BetterPrompt CLI\n\nUse the frontmatter's `name` as the positional argument (for this skill, use `trainyard-scene`).\n\nCommand form:\n\n```bash\nbetterprompt generate trainyard-scene \\\n  [--input \u003Ckey>=\u003Cvalue>] \\\n  [--model \u003Cmodel>] \\\n  [--options \u003Coptions JSON>] \\\n  [--json]\n```\n\nNotes:\n\n- Pass each text input as a separate `--input \u003Ckey>=\u003Cvalue>` flag.\n- If the human does **not** mention a model, **omit** `--model` and BetterPrompt will use the default model: **`sora-2`**.\n- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{\"seconds\":\"8\",\"size\":\"720x1280\"}`**.\n- If the run times out, the response will include a `runId` you can use to fetch the result later.\n\nExample (using defaults shown above):\n\n```bash\nbetterprompt generate trainyard-scene \\\n  --input 'props=paper coffee cup, rolling luggage, LED departure board (generic destinations)' \\\n  --input 'extras=commuters in muted tones; one cyclist pushing bike' \\\n  --input 'main_subject=mid-30s traveler, navy coat, backpack slung on one shoulder, holding phone loosely at side' \\\n  --model sora-2 \\\n  --options '{\"seconds\":\"8\",\"size\":\"720x1280\"}'\n```",{"name":5,"metadata":49,"description":7,"compatibility":63},{"openclaw":50},{"os":51,"emoji":53,"install":54,"homepage":60,"requires":61},[41,52],"darwin","?",[55],{"id":56,"bins":57,"kind":56,"label":59,"package":27},"node",[27,58],"bp","Install BetterPrompt CLI (node)","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills",{"anyBins":62},[27,58],"Requires betterprompt >= 0.1.3","main","146729cedbfab879f43ff34bceca519a580aebee","skills\u002Ftrainyard-scene",0,"https:\u002F\u002Fgithub.com\u002FBetterPromptme","https:\u002F\u002Fbetterprompt.me\u002F","2026-07-30 20:02:41",{"source":8,"skillName":5,"commands":72,"prompt":82,"zipAvailable":83},[73,76,79],{"tool":74,"command":75},"npx","npx skills add BetterPromptme\u002Fskills --skill trainyard-scene",{"tool":77,"command":78},"bunx","bunx skills add BetterPromptme\u002Fskills --skill trainyard-scene",{"tool":80,"command":81},"pnpm","pnpm dlx skills add BetterPromptme\u002Fskills --skill trainyard-scene","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Ftrainyard-scene\u002FSKILL.md",true,[],[86,96,116,132,139,157],{"skillNo":87,"name":88,"nameZh":6,"description":89,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":90,"categories":91,"keywords":92,"publishedAt":44},"01M6ESSAXMK67520R3W5VRR31N","{{{name=null}=null}=null}","{{{description=null}=null}=null}","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Ftemplate\u002FSKILL.md",[],[88,93,27,94,56,95,41,42,43],"name","install","https",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":44},"01M6ESS6FZNCKP8TDTMXD5D8AC","zootopia-three-panel-portrait","This prompt instructs an image generator\u002Feditor to create a cozy, realistic three-panel vertical photobooth strip using the person’s original face and identity unchanged, placing them in a consistent warm indoor setting with a cream curtain backdrop and a beige cable-knit sweater. Across the three frames, it directs specific poses and expressions while adding a large plush character-ears hat and Zootopia plush toys (Nick Wilde and Judy Hopps) in designated positions, with expression rules adapted to the subject’s perceived gender presentation. The intended result is a clean, natural-texture photobooth collage that looks like real photos, strictly avoiding any stylization, beautification, identity changes, wardrobe changes, or extra elements beyond what’s specified.","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzootopia-three-panel-portrait\u002FSKILL.md",[],[103,104,105,106,42,43,107,108,26,27,41,109,110,111,112,37,113,95,114,115],"three","portrait","panel","zootopia three panel portrait","image","image generator","expression","elements","across","clean","Rules","create","editor",{"skillNo":117,"name":118,"nameZh":6,"description":119,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":120,"categories":121,"keywords":122,"publishedAt":44},"01M6ESS24KV8DM655H9NY1QFBN","zootopia-premiere-selfie-generator","This prompt instructs the AI to generate a high-angle, wide-angle selfie-style portrait set inside a crowded cinema during a Zootopia 2 premiere, featuring the uploaded person’s face preserved exactly while they stand between fully 3D, movie-quality Judy Hopps and Nick Wilde, with a giant theater screen displaying the Zootopia 2 poster, vivid cinematic lighting from the screen, and an energetic fan-event atmosphere rendered in ultra-realistic high resolution.","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzootopia-premiere-selfie-generator\u002FSKILL.md",[],[123,25,124,95,26,37,125,32,27,28,104,126,127,128,129,130,41,42,43,131],"zootopia premiere selfie generator","quality","event","style","resolution","screen","SET","generate","3D",{"skillNo":133,"name":134,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":135,"categories":136,"keywords":137,"publishedAt":44},"01M6ESS0ACFXPN910RH45TC5DP","zootopia-polaroid-judy-and-nick","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzootopia-polaroid-judy-and-nick\u002FSKILL.md",[],[138],"zootopia polaroid judy and nick",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":145,"publishedAt":44},"01M6ESRWAPR296A6K72902SZYW","zootopia-plush-store-portrait","This prompt instructs an AI to generate a realistic, close-up upper-body photo of a real human child (girl or boy) in a brightly lit, cozy plush-toy store, with the person’s identity and core traits preserved. It requires choosing one of two themed setups—either Nick Wilde or Judy Hopps—where the child wears a large character plush hat, holds the matching plush, and stands before densely stocked shelves of both characters’ plush toys. The result is a vibrant, warm retail scene with a specific cute pose (finger to cheek), gentle expression, natural skin tones, and detailed fabric textures, while strictly avoiding identity changes, animation styles, character distortion, extra people, or surreal effects.","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzootopia-plush-store-portrait\u002FSKILL.md",[],[104,146,147,42,43,41,148,26,27,149,150,109,151,152,153,154,37,155,130,156],"store","zootopia plush store portrait","people","traits","styles","lit","human","either","up","Animation","core",{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":163,"publishedAt":44},"01M6ESRR4MYQNRN8KZNJGQZ9A1","zootopia-mascot-selfie-magic","This prompt instructs an image model to generate an ultra-realistic, high-angle smartphone-style selfie featuring the exact likeness of the woman from a provided reference photo, centered in frame and smiling (with black braces visible), while posing outdoors against a simple concrete wall beside life-size 3D mascot-costume versions of Judy Hopps (left) and Nick Wilde (right). It specifies strict constraints for facial fidelity, outfit, accessories, character appearance, lighting, composition, camera characteristics, and negative traits to avoid, resulting in a bright, natural-looking, high-resolution selfie scene with crisp, believable textures and a cheerful mood.","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzootopia-mascot-selfie-magic\u002FSKILL.md",[],[164,165,26,27,149,166,126,167,127,25,37,168,131,169,95,130,41,42,43,107],"zootopia mascot selfie magic","simple","crisp","black","model","Composition"]