[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6ENVAFN0PWSPS8BPBP9ZAV4":3,"skill-same:01M6ENVAFN0PWSPS8BPBP9ZAV4":80},{"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":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":59,"commitSha":60,"skillDirectory":61,"forksCount":62,"repositoryHtmlUrl":55,"repositoryHomepageUrl":6,"ownerHtmlUrl":63,"ownerBlogUrl":64,"ownerDescription":6,"updatedAt":65,"install":66,"resources":79},"01M6ENVAFN0PWSPS8BPBP9ZAV4","ad-refinery-360",null,"This prompt guides an AI to act as an advertising strategist and behavioral psychologist by taking product details, performance goals, market context, and a desired style to build three target personas, generate three ad concepts, run multiple rounds of persona-based critique and iterative refinement, and then select the best-performing ad with clear reasoning and actionable targeting and optimization recommendations.","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\u002Fad-refinery-360\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"ad refinery 360","ad","goals","betterprompt","actionable","guides","style","as","three","personas","cli","Market","prompt","select","persona","critique","Optimization","performance","linux","github","2026-11-10 10:12:30",false,"---\nname: ad-refinery-360\ndescription: This prompt guides an AI to act as an advertising strategist and behavioral psychologist by taking product details, performance goals, market context, and a desired style to build three target personas, generate three ad concepts, run multiple rounds of persona-based critique and iterative refinement, and then select the best-performing ad with clear reasoning and actionable targeting and optimization recommendations.\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 guides an AI to act as an advertising strategist and behavioral psychologist by taking product details, performance goals, market context, and a desired style to build three target personas, generate three ad concepts, run multiple rounds of persona-based critique and iterative refinement, and then select the best-performing ad with clear reasoning and actionable targeting and optimization recommendations.\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| `ad_style` | Required |  | (none) |\n| `market_context` | Required |  | (none) |\n| `ENTER_PRODUCT_INFO_HERE` | Required |  | (none) |\n| `ENTER_PERFORMANCE_TARGETS_HERE` | Required |  | (none) |\n\n\n\n### Models and options\n\nThis skill's modality is: **`text`**.\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 `\"text\"`.\n\n## How to run\n\n### Step 1: Collect inputs\n\nFirst, run `betterprompt resources --models-only --json` and filter to `modality: \"text\"` 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\n- Required text inputs:\n    - `ad_style`\n  - `market_context`\n  - `ENTER_PRODUCT_INFO_HERE`\n  - `ENTER_PERFORMANCE_TARGETS_HERE`\n- Optional: model and options.\n  - Present the human with the default model **`gpt-4.1-mini`** and its available options. Look up `gpt-4.1-mini` in the `betterprompt resources` output (filtered to modality `\"text\"`) and show its `availableOptions` as: `key: val1, val2 (default), val3  |  key2: ...`. Mark a value `(default)` if it matches these defaults: `{}`.\n  - If the human does not specify, defaults are used: model `gpt-4.1-mini`, options `{}`. Other models from the resources call are also available.\n\nIf any required text input is missing, **ask the human for what's missing**. Do not assume or fabricate values.\n\n### Step 2: Run via BetterPrompt CLI\n\nUse the frontmatter's `name` as the positional argument (for this skill, use `ad-refinery-360`).\n\nCommand form:\n\n```bash\nbetterprompt generate ad-refinery-360 \\\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: **`gpt-4.1-mini`**.\n- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{}`**.\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 ad-refinery-360 \\\n  --input ad_style=\u003Cvalue> \\\n  --input market_context=\u003Cvalue> \\\n  --input ENTER_PRODUCT_INFO_HERE=\u003Cvalue> \\\n  --input ENTER_PERFORMANCE_TARGETS_HERE=\u003Cvalue> \\\n  --model gpt-4.1-mini \\\n  --options '{}'\n```","## What it does\n\nThis prompt guides an AI to act as an advertising strategist and behavioral psychologist by taking product details, performance goals, market context, and a desired style to build three target personas, generate three ad concepts, run multiple rounds of persona-based critique and iterative refinement, and then select the best-performing ad with clear reasoning and actionable targeting and optimization recommendations.\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| `ad_style` | Required |  | (none) |\n| `market_context` | Required |  | (none) |\n| `ENTER_PRODUCT_INFO_HERE` | Required |  | (none) |\n| `ENTER_PERFORMANCE_TARGETS_HERE` | Required |  | (none) |\n\n\n\n### Models and options\n\nThis skill's modality is: **`text`**.\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 `\"text\"`.\n\n## How to run\n\n### Step 1: Collect inputs\n\nFirst, run `betterprompt resources --models-only --json` and filter to `modality: \"text\"` 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\n- Required text inputs:\n    - `ad_style`\n  - `market_context`\n  - `ENTER_PRODUCT_INFO_HERE`\n  - `ENTER_PERFORMANCE_TARGETS_HERE`\n- Optional: model and options.\n  - Present the human with the default model **`gpt-4.1-mini`** and its available options. Look up `gpt-4.1-mini` in the `betterprompt resources` output (filtered to modality `\"text\"`) and show its `availableOptions` as: `key: val1, val2 (default), val3  |  key2: ...`. Mark a value `(default)` if it matches these defaults: `{}`.\n  - If the human does not specify, defaults are used: model `gpt-4.1-mini`, options `{}`. Other models from the resources call are also available.\n\nIf any required text input is missing, **ask the human for what's missing**. Do not assume or fabricate values.\n\n### Step 2: Run via BetterPrompt CLI\n\nUse the frontmatter's `name` as the positional argument (for this skill, use `ad-refinery-360`).\n\nCommand form:\n\n```bash\nbetterprompt generate ad-refinery-360 \\\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: **`gpt-4.1-mini`**.\n- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{}`**.\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 ad-refinery-360 \\\n  --input ad_style=\u003Cvalue> \\\n  --input market_context=\u003Cvalue> \\\n  --input ENTER_PRODUCT_INFO_HERE=\u003Cvalue> \\\n  --input ENTER_PERFORMANCE_TARGETS_HERE=\u003Cvalue> \\\n  --model gpt-4.1-mini \\\n  --options '{}'\n```",{"name":5,"metadata":44,"description":7,"compatibility":58},{"openclaw":45},{"os":46,"emoji":48,"install":49,"homepage":55,"requires":56},[37,47],"darwin","?",[50],{"id":51,"bins":52,"kind":51,"label":54,"package":22},"node",[22,53],"bp","Install BetterPrompt CLI (node)","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills",{"anyBins":57},[22,53],"Requires betterprompt >= 0.1.3","main","146729cedbfab879f43ff34bceca519a580aebee","skills\u002Fad-refinery-360",0,"https:\u002F\u002Fgithub.com\u002FBetterPromptme","https:\u002F\u002Fbetterprompt.me\u002F","2026-07-30 20:02:41",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add BetterPromptme\u002Fskills --skill ad-refinery-360",{"tool":72,"command":73},"bunx","bunx skills add BetterPromptme\u002Fskills --skill ad-refinery-360",{"tool":75,"command":76},"pnpm","pnpm dlx skills add BetterPromptme\u002Fskills --skill ad-refinery-360","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fad-refinery-360\u002FSKILL.md",true,[],[81,91,111,129,136,154],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":87,"publishedAt":39},"01M6ESSAXMK67520R3W5VRR31N","{{{name=null}=null}=null}","{{{description=null}=null}=null}","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Ftemplate\u002FSKILL.md",[],[83,88,22,89,51,90,37,38,29],"name","install","https",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":39},"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",[],[27,98,99,100,38,29,101,102,103,22,37,104,105,106,107,31,108,90,109,110],"portrait","panel","zootopia three panel portrait","image","image generator","with","expression","elements","across","clean","Rules","create","editor",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":117,"publishedAt":39},"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",[],[118,119,120,90,103,31,121,122,22,123,98,25,124,125,126,127,37,38,29,128],"zootopia premiere selfie generator","lighting","quality","event","poster","atmosphere","resolution","screen","SET","generate","3D",{"skillNo":130,"name":131,"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":132,"categories":133,"keywords":134,"publishedAt":39},"01M6ESS0ACFXPN910RH45TC5DP","zootopia-polaroid-judy-and-nick","https:\u002F\u002Fgithub.com\u002FBetterPromptme\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzootopia-polaroid-judy-and-nick\u002FSKILL.md",[],[135],"zootopia polaroid judy and nick",{"skillNo":137,"name":138,"nameZh":6,"description":139,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":140,"categories":141,"keywords":142,"publishedAt":39},"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",[],[98,143,144,38,29,37,145,103,22,146,147,104,148,149,150,151,31,152,127,153],"store","zootopia plush store portrait","people","traits","styles","lit","human","either","up","Animation","core",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":160,"publishedAt":39},"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",[],[161,162,103,22,146,163,25,164,124,119,31,165,128,166,90,127,37,38,29,101],"zootopia mascot selfie magic","simple","crisp","black","model","Composition"]