[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6FZSXAXZX2JS6EH6DZZ46EF":3,"skill-same:01M6FZSXAXZX2JS6EH6DZZ46EF":80},{"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":22,"publishedAt":42,"linkOnly":43,"markdownContent":44,"markdownBody":45,"frontMatter":46,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6FZSXAXZX2JS6EH6DZZ46EF","ad-ready",null,"Generate professional advertising images from product URLs using the Ad-Ready pipeline on ComfyDeploy. Use when the user wants to create ads for any product by providing a URL, optionally with a brand profile (70+ brands) and funnel stage targeting. Supports model\u002Ftalent integration, brand-aware creative direction, and multi-format output. Differs from Morpheus (manual fashion photography) — Ad-Ready is URL-driven, brand-intelligent, and funnel-stage aware.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fad-ready-pro\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,5,32,33,34,35,36,37,38,39,40,41],"ad ready","ready","ad","professional","targeting","advertising","manual","URL","fashion","direction","create","photography","images","brand","model","ads","pipeline","product","generate","2026-11-10 10:12:30",false,"---\nname: ad-ready\ndescription: Generate professional advertising images from product URLs using the Ad-Ready pipeline on ComfyDeploy. Use when the user wants to create ads for any product by providing a URL, optionally with a brand profile (70+ brands) and funnel stage targeting. Supports model\u002Ftalent integration, brand-aware creative direction, and multi-format output. Differs from Morpheus (manual fashion photography) — Ad-Ready is URL-driven, brand-intelligent, and funnel-stage aware.\n---\n\n# Ad-Ready: AI Advertising Image Generator\n\nGenerate professional advertising images from product URLs using a 4-phase AI pipeline on ComfyDeploy.\n\n## ⚠️ CRITICAL: Required Inputs Checklist\n\nBefore running ANY ad generation, the agent MUST ensure ALL of these are provided:\n\n| Input | Required? | How to Get It |\n|-------|-----------|---------------|\n| `--product-url` | ✅ ALWAYS | User provides the product page URL |\n| `--product-image` | ✅ ALWAYS | Download from the product page, or user provides |\n| `--logo` | ✅ ALWAYS | Download from brand website or search online. MUST be an image file |\n| `--reference` | ✅ RECOMMENDED | An existing ad whose style we want to clone. Search online or use previously generated images |\n| `--brand-profile` | ✅ NEVER EMPTY | Pick from catalog or run brand-analyzer first. NEVER leave as \"No Brand\" if a brand is known |\n| `--prompt-profile` | ✅ ALWAYS | Choose based on campaign objective |\n| `--aspect-ratio` | Default: 4:5 | Change if needed for platform |\n| `--model` | Optional | Model\u002Ftalent face from catalog or user-provided |\n\n### ? NEVER Skip These Steps:\n\n1. **Product image** — Download the main product photo from the product URL. The scraper is fragile; always provide a product image explicitly.\n2. **Brand logo** — Download the logo from the brand's official website or search for \"{brand name} logo\" online. Must be a clean logo image (PNG preferred).\n3. **Brand profile** — If the brand doesn't exist in the catalog, run `brand-analyzer` skill FIRST to generate one. Never submit with \"No Brand\" when a brand is known.\n4. **Reference image** — Search for an existing ad or visual with a style that matches what we're generating. Can be from previously generated images, the brand's campaigns, or found online. This dramatically improves output quality.\n\n## Auto-Preparation Workflow\n\nWhen the user asks to generate an ad, follow this workflow:\n\n```\n1. User provides: product URL + brand name + objective\n\n2. CHECK brand profile exists:\n   → ls ~\u002Fclawd\u002Fad-ready\u002Fconfigs\u002FBrands\u002F | grep -i \"{brand}\"\n   → If not found: run brand-analyzer skill first\n   \n3. DOWNLOAD product image:\n   → Visit the product URL in browser or fetch the page\n   → Find and download the main product image\n   → Save to \u002Ftmp\u002Fad-ready-product.jpg\n\n4. DOWNLOAD brand logo:\n   → Search \"{brand name} logo PNG\" or fetch from brand website\n   → Download clean logo image\n   → Save to \u002Ftmp\u002Fad-ready-logo.png\n\n5. FIND reference image:\n   → Search for \"{brand name} advertisement\" or similar\n   → Or use a previously generated ad that has the right style\n   → Save to \u002Ftmp\u002Fad-ready-reference.jpg\n\n6. SELECT prompt profile based on objective:\n   → Awareness: brand discovery, first impressions\n   → Interest: engagement, curiosity\n   → Consideration: comparison, features\n   → Evaluation: deep dive, decision support\n   → Conversion: purchase intent, CTAs (most common)\n   → Retention: re-engagement\n   → Loyalty: brand advocates\n   → Advocacy: referral, community\n\n7. RUN the generation with ALL inputs filled\n```\n\n## Usage\n\n### Full command (recommended):\n```bash\nCOMFY_DEPLOY_API_KEY=\"$KEY\" uv run ~\u002F.clawdbot\u002Fskills\u002Fad-ready\u002Fscripts\u002Fgenerate.py \\\n  --product-url \"https:\u002F\u002Fshop.example.com\u002Fproduct\" \\\n  --product-image \"\u002Ftmp\u002Fproduct-photo.jpg\" \\\n  --logo \"\u002Ftmp\u002Fbrand-logo.png\" \\\n  --reference \"\u002Ftmp\u002Freference-ad.jpg\" \\\n  --model \"models-catalog\u002Fcatalog\u002Fimages\u002Fmodel_15.jpg\" \\\n  --brand-profile \"Nike\" \\\n  --prompt-profile \"Master_prompt_05_Conversion\" \\\n  --aspect-ratio \"4:5\" \\\n  --output \"ad-output.png\"\n```\n\n### Auto-fetch mode (downloads product image and logo automatically):\n```bash\nCOMFY_DEPLOY_API_KEY=\"$KEY\" uv run ~\u002F.clawdbot\u002Fskills\u002Fad-ready\u002Fscripts\u002Fgenerate.py \\\n  --product-url \"https:\u002F\u002Fshop.example.com\u002Fproduct\" \\\n  --brand-profile \"Nike\" \\\n  --prompt-profile \"Master_prompt_05_Conversion\" \\\n  --auto-fetch \\\n  --output \"ad-output.png\"\n```\n\nThe `--auto-fetch` flag will:\n- Download the main product image from the product URL\n- Search and download the brand logo\n- Both get uploaded to ComfyDeploy automatically\n\n## API Details\n\n**Endpoint:** `https:\u002F\u002Fapi.comfydeploy.com\u002Fapi\u002Frun\u002Fdeployment\u002Fqueue`\n**Deployment ID:** `e37318e6-ef21-4aab-bc90-8fb29624cd15`\n\n## ComfyDeploy Input Variables\n\nThese are the exact variable names the ComfyDeploy deployment expects:\n\n| Variable | Type | Description |\n|----------|------|-------------|\n| `product_url` | string | Product page URL to scrape |\n| `producto` | image URL | Product image (uploaded to ComfyDeploy) |\n| `model` | image URL | Model\u002Ftalent face reference |\n| `referencia` | image URL | Style reference ad image |\n| `marca` | image URL | Brand logo image |\n| `brand_profile` | enum | Brand name from catalog |\n| `prompt_profile` | enum | Funnel stage prompt |\n| `aspect_ratio` | enum | Output format |\n\n## 4-Phase Pipeline (How It Works Internally)\n\n### Phase 1: Product Scraping\n- Gemini Flash visits the product URL\n- Extracts: title, description, features, price, images\n- ⚠️ Image scraping is the most fragile part — always provide product images manually\n\n### Phase 2: Campaign Brief Generation (CRITICAL)\n- Uses Brand Identity JSON + Product Data → 10-point brief\n- **Everything downstream depends on brief quality**\n- Brief covers: strategic objective, central message, visual tone, product role, photographer, art direction, environment, textures, signature\n\n### Phase 3: Blueprint Generation\n- Master Prompt (per funnel stage) + Brief + Product JSON + Keyword Bank + Format\n- Gemini Flash generates complete Blueprint JSON\n- Covers: scene, production, graphic design, lighting, composition, materials, CTA\n\n### Phase 4: Image Generation\n- Nano Banana Pro (Imagen 3.0) generates the final image\n- Uses Blueprint JSON + all reference images (product, talent, logo, style ref)\n\n### Supporting Reference Nodes\n- `pose_ref` → enforce a specific pose (replicated exactly)\n- `photo_style_ref` → replicate photographic style (⚠️ can be too literal, being optimized)\n- `location_ref` → replicate location and color palette\n\n## Brand Profiles\n\n### Existing catalog (70+ brands):\n```bash\nls ~\u002Fclawd\u002Fad-ready\u002Fconfigs\u002FBrands\u002F*.json | sed 's\u002F.*\\\u002F\u002F\u002F' | sed 's\u002F\\.json\u002F\u002F'\n```\n\n### Creating new brand profiles:\nUse the `brand-analyzer` skill:\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run ~\u002F.clawdbot\u002Fskills\u002Fbrand-analyzer\u002Fscripts\u002Fanalyze.py \\\n  --brand \"Brand Name\" --auto-save\n```\n\nThis generates a full Brand Identity JSON and saves it to the catalog automatically.\n\n## Prompt Profiles (Funnel Stages)\n\n| Profile | Stage | Best For |\n|---------|-------|----------|\n| `Master_prompt_01_Awareness` | Awareness | Brand discovery, first impressions |\n| `Master_prompt_02_Interest` | Interest | Engagement, curiosity |\n| `Master_prompt_03_Consideration` | Consideration | Comparison, features |\n| `Master_prompt_04_Evaluation` | Evaluation | Deep dive, decision support |\n| `Master_prompt_05_Conversion` | Conversion | Purchase intent, CTAs |\n| `Master_prompt_06_Retention` | Retention | Re-engagement, loyalty |\n| `Master_prompt_07_Loyalty` | Loyalty | Brand advocates |\n| `Master_prompt_08_Advocacy` | Advocacy | Referral, community |\n\n**How to choose:**\n- Most ads → **Conversion** (purchase intent)\n- New product launches → **Awareness**\n- Retargeting → **Consideration** or **Evaluation**\n- Existing customers → **Retention** or **Loyalty**\n\n## Aspect Ratios\n\n| Ratio | Use Case |\n|-------|----------|\n| `4:5` | **Default.** Instagram feed, Facebook |\n| `9:16` | Stories, Reels, TikTok |\n| `1:1` | Square posts |\n| `16:9` | YouTube, landscape banners |\n| `5:4` | Alternative landscape |\n\n## Model Catalog\n\nModels for talent\u002Fface reference: `~\u002Fclawd\u002Fmodels-catalog\u002Fcatalog\u002F`\n\n**Priority:** User-provided model > Catalog selection > No model (product-only ad)\n\n## Known Limitations\n\n1. **Product image scraping is fragile** — always provide product images manually when possible\n2. **photo_style_ref can be too literal** — the style reference may be replicated too closely\n3. **Some websites block scraping** — Armani works well, others may return incorrect data\n4. **Auto 4-Format is alpha** — bugs and edge cases exist\n5. **Gemini hallucinations** — occasional issues in complex reasoning steps\n\n## Ad-Ready vs Morpheus\n\n| Feature | Ad-Ready | Morpheus |\n|---------|----------|----------|\n| Input | Product URL (auto-scrapes) | Manual product image |\n| Brand intelligence | 70+ brand profiles | None |\n| Funnel targeting | 8 funnel stages | None |\n| Creative direction | Auto-generated from brief | Pack-based (camera, lens, etc.) |\n| Best for | Product advertising campaigns | Fashion\u002Flifestyle editorial photography |\n| Control level | High-level (objective-driven) | Granular (every visual parameter) |\n\n## Source Repository\n\n- GitHub: https:\u002F\u002Fgithub.com\u002FPauldeLavallaz\u002Fads_SV\n- Local clone: ~\u002Fclawd\u002Fad-ready\u002F\n- Patreon docs: https:\u002F\u002Fwww.patreon.com\u002Fposts\u002Ffrom-product-to-149933468\n\n## API Key\n\nUses ComfyDeploy API key. Set via `COMFY_DEPLOY_API_KEY` environment variable.\n","# Ad-Ready: AI Advertising Image Generator\n\nGenerate professional advertising images from product URLs using a 4-phase AI pipeline on ComfyDeploy.\n\n## ⚠️ CRITICAL: Required Inputs Checklist\n\nBefore running ANY ad generation, the agent MUST ensure ALL of these are provided:\n\n| Input | Required? | How to Get It |\n|-------|-----------|---------------|\n| `--product-url` | ✅ ALWAYS | User provides the product page URL |\n| `--product-image` | ✅ ALWAYS | Download from the product page, or user provides |\n| `--logo` | ✅ ALWAYS | Download from brand website or search online. MUST be an image file |\n| `--reference` | ✅ RECOMMENDED | An existing ad whose style we want to clone. Search online or use previously generated images |\n| `--brand-profile` | ✅ NEVER EMPTY | Pick from catalog or run brand-analyzer first. NEVER leave as \"No Brand\" if a brand is known |\n| `--prompt-profile` | ✅ ALWAYS | Choose based on campaign objective |\n| `--aspect-ratio` | Default: 4:5 | Change if needed for platform |\n| `--model` | Optional | Model\u002Ftalent face from catalog or user-provided |\n\n### ? NEVER Skip These Steps:\n\n1. **Product image** — Download the main product photo from the product URL. The scraper is fragile; always provide a product image explicitly.\n2. **Brand logo** — Download the logo from the brand's official website or search for \"{brand name} logo\" online. Must be a clean logo image (PNG preferred).\n3. **Brand profile** — If the brand doesn't exist in the catalog, run `brand-analyzer` skill FIRST to generate one. Never submit with \"No Brand\" when a brand is known.\n4. **Reference image** — Search for an existing ad or visual with a style that matches what we're generating. Can be from previously generated images, the brand's campaigns, or found online. This dramatically improves output quality.\n\n## Auto-Preparation Workflow\n\nWhen the user asks to generate an ad, follow this workflow:\n\n```\n1. User provides: product URL + brand name + objective\n\n2. CHECK brand profile exists:\n   → ls ~\u002Fclawd\u002Fad-ready\u002Fconfigs\u002FBrands\u002F | grep -i \"{brand}\"\n   → If not found: run brand-analyzer skill first\n   \n3. DOWNLOAD product image:\n   → Visit the product URL in browser or fetch the page\n   → Find and download the main product image\n   → Save to \u002Ftmp\u002Fad-ready-product.jpg\n\n4. DOWNLOAD brand logo:\n   → Search \"{brand name} logo PNG\" or fetch from brand website\n   → Download clean logo image\n   → Save to \u002Ftmp\u002Fad-ready-logo.png\n\n5. FIND reference image:\n   → Search for \"{brand name} advertisement\" or similar\n   → Or use a previously generated ad that has the right style\n   → Save to \u002Ftmp\u002Fad-ready-reference.jpg\n\n6. SELECT prompt profile based on objective:\n   → Awareness: brand discovery, first impressions\n   → Interest: engagement, curiosity\n   → Consideration: comparison, features\n   → Evaluation: deep dive, decision support\n   → Conversion: purchase intent, CTAs (most common)\n   → Retention: re-engagement\n   → Loyalty: brand advocates\n   → Advocacy: referral, community\n\n7. RUN the generation with ALL inputs filled\n```\n\n## Usage\n\n### Full command (recommended):\n```bash\nCOMFY_DEPLOY_API_KEY=\"$KEY\" uv run ~\u002F.clawdbot\u002Fskills\u002Fad-ready\u002Fscripts\u002Fgenerate.py \\\n  --product-url \"https:\u002F\u002Fshop.example.com\u002Fproduct\" \\\n  --product-image \"\u002Ftmp\u002Fproduct-photo.jpg\" \\\n  --logo \"\u002Ftmp\u002Fbrand-logo.png\" \\\n  --reference \"\u002Ftmp\u002Freference-ad.jpg\" \\\n  --model \"models-catalog\u002Fcatalog\u002Fimages\u002Fmodel_15.jpg\" \\\n  --brand-profile \"Nike\" \\\n  --prompt-profile \"Master_prompt_05_Conversion\" \\\n  --aspect-ratio \"4:5\" \\\n  --output \"ad-output.png\"\n```\n\n### Auto-fetch mode (downloads product image and logo automatically):\n```bash\nCOMFY_DEPLOY_API_KEY=\"$KEY\" uv run ~\u002F.clawdbot\u002Fskills\u002Fad-ready\u002Fscripts\u002Fgenerate.py \\\n  --product-url \"https:\u002F\u002Fshop.example.com\u002Fproduct\" \\\n  --brand-profile \"Nike\" \\\n  --prompt-profile \"Master_prompt_05_Conversion\" \\\n  --auto-fetch \\\n  --output \"ad-output.png\"\n```\n\nThe `--auto-fetch` flag will:\n- Download the main product image from the product URL\n- Search and download the brand logo\n- Both get uploaded to ComfyDeploy automatically\n\n## API Details\n\n**Endpoint:** `https:\u002F\u002Fapi.comfydeploy.com\u002Fapi\u002Frun\u002Fdeployment\u002Fqueue`\n**Deployment ID:** `e37318e6-ef21-4aab-bc90-8fb29624cd15`\n\n## ComfyDeploy Input Variables\n\nThese are the exact variable names the ComfyDeploy deployment expects:\n\n| Variable | Type | Description |\n|----------|------|-------------|\n| `product_url` | string | Product page URL to scrape |\n| `producto` | image URL | Product image (uploaded to ComfyDeploy) |\n| `model` | image URL | Model\u002Ftalent face reference |\n| `referencia` | image URL | Style reference ad image |\n| `marca` | image URL | Brand logo image |\n| `brand_profile` | enum | Brand name from catalog |\n| `prompt_profile` | enum | Funnel stage prompt |\n| `aspect_ratio` | enum | Output format |\n\n## 4-Phase Pipeline (How It Works Internally)\n\n### Phase 1: Product Scraping\n- Gemini Flash visits the product URL\n- Extracts: title, description, features, price, images\n- ⚠️ Image scraping is the most fragile part — always provide product images manually\n\n### Phase 2: Campaign Brief Generation (CRITICAL)\n- Uses Brand Identity JSON + Product Data → 10-point brief\n- **Everything downstream depends on brief quality**\n- Brief covers: strategic objective, central message, visual tone, product role, photographer, art direction, environment, textures, signature\n\n### Phase 3: Blueprint Generation\n- Master Prompt (per funnel stage) + Brief + Product JSON + Keyword Bank + Format\n- Gemini Flash generates complete Blueprint JSON\n- Covers: scene, production, graphic design, lighting, composition, materials, CTA\n\n### Phase 4: Image Generation\n- Nano Banana Pro (Imagen 3.0) generates the final image\n- Uses Blueprint JSON + all reference images (product, talent, logo, style ref)\n\n### Supporting Reference Nodes\n- `pose_ref` → enforce a specific pose (replicated exactly)\n- `photo_style_ref` → replicate photographic style (⚠️ can be too literal, being optimized)\n- `location_ref` → replicate location and color palette\n\n## Brand Profiles\n\n### Existing catalog (70+ brands):\n```bash\nls ~\u002Fclawd\u002Fad-ready\u002Fconfigs\u002FBrands\u002F*.json | sed 's\u002F.*\\\u002F\u002F\u002F' | sed 's\u002F\\.json\u002F\u002F'\n```\n\n### Creating new brand profiles:\nUse the `brand-analyzer` skill:\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run ~\u002F.clawdbot\u002Fskills\u002Fbrand-analyzer\u002Fscripts\u002Fanalyze.py \\\n  --brand \"Brand Name\" --auto-save\n```\n\nThis generates a full Brand Identity JSON and saves it to the catalog automatically.\n\n## Prompt Profiles (Funnel Stages)\n\n| Profile | Stage | Best For |\n|---------|-------|----------|\n| `Master_prompt_01_Awareness` | Awareness | Brand discovery, first impressions |\n| `Master_prompt_02_Interest` | Interest | Engagement, curiosity |\n| `Master_prompt_03_Consideration` | Consideration | Comparison, features |\n| `Master_prompt_04_Evaluation` | Evaluation | Deep dive, decision support |\n| `Master_prompt_05_Conversion` | Conversion | Purchase intent, CTAs |\n| `Master_prompt_06_Retention` | Retention | Re-engagement, loyalty |\n| `Master_prompt_07_Loyalty` | Loyalty | Brand advocates |\n| `Master_prompt_08_Advocacy` | Advocacy | Referral, community |\n\n**How to choose:**\n- Most ads → **Conversion** (purchase intent)\n- New product launches → **Awareness**\n- Retargeting → **Consideration** or **Evaluation**\n- Existing customers → **Retention** or **Loyalty**\n\n## Aspect Ratios\n\n| Ratio | Use Case |\n|-------|----------|\n| `4:5` | **Default.** Instagram feed, Facebook |\n| `9:16` | Stories, Reels, TikTok |\n| `1:1` | Square posts |\n| `16:9` | YouTube, landscape banners |\n| `5:4` | Alternative landscape |\n\n## Model Catalog\n\nModels for talent\u002Fface reference: `~\u002Fclawd\u002Fmodels-catalog\u002Fcatalog\u002F`\n\n**Priority:** User-provided model > Catalog selection > No model (product-only ad)\n\n## Known Limitations\n\n1. **Product image scraping is fragile** — always provide product images manually when possible\n2. **photo_style_ref can be too literal** — the style reference may be replicated too closely\n3. **Some websites block scraping** — Armani works well, others may return incorrect data\n4. **Auto 4-Format is alpha** — bugs and edge cases exist\n5. **Gemini hallucinations** — occasional issues in complex reasoning steps\n\n## Ad-Ready vs Morpheus\n\n| Feature | Ad-Ready | Morpheus |\n|---------|----------|----------|\n| Input | Product URL (auto-scrapes) | Manual product image |\n| Brand intelligence | 70+ brand profiles | None |\n| Funnel targeting | 8 funnel stages | None |\n| Creative direction | Auto-generated from brief | Pack-based (camera, lens, etc.) |\n| Best for | Product advertising campaigns | Fashion\u002Flifestyle editorial photography |\n| Control level | High-level (objective-driven) | Granular (every visual parameter) |\n\n## Source Repository\n\n- GitHub: https:\u002F\u002Fgithub.com\u002FPauldeLavallaz\u002Fads_SV\n- Local clone: ~\u002Fclawd\u002Fad-ready\u002F\n- Patreon docs: https:\u002F\u002Fwww.patreon.com\u002Fposts\u002Ffrom-product-to-149933468\n\n## API Key\n\nUses ComfyDeploy API key. Set via `COMFY_DEPLOY_API_KEY` environment variable.\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Fpauldelavallaz\u002Fad-ready-pro",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add kbarbel640-del\u002Fskills --skill ad-ready",{"tool":60,"command":61},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill ad-ready",{"tool":63,"command":64},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill ad-ready","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fad-ready-pro\u002FSKILL.md",true,[68,74],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"_meta.json","REFERENCE","参考文档",284,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fad-ready-pro\u002F_meta.json",{"path":75,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":78,"sourceHtmlUrl":79},"scripts\u002Fgenerate.py","SCRIPT","脚本",19819,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fpauldelavallaz\u002Fad-ready-pro\u002Fscripts\u002Fgenerate.py",[81,112,138,159,165,185],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":92,"publishedAt":42},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[87],{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":113,"name":114,"nameZh":6,"description":115,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":116,"categories":117,"keywords":121,"publishedAt":42},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[118],{"categoryNo":119,"categoryName":120,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",[122,95,123,124,125,126,33,127,128,129,130,131,132,133,134,135,136,100,137],"dilemm ai","arena","analyze","browser","openclaw agent","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":147,"publishedAt":42},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. 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Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[191,192],{"categoryNo":119,"categoryName":120,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":193,"categoryName":194,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000037","律师与法务",[196,197,198,199,96,200,201,47,202,156,203,204,205,206,207,109,208,209,210],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]