[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MXFA8PWGV8DA0F3FF20MWB":3,"skill-same:01M6MXFA8PWGV8DA0F3FF20MWB":87},{"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":27,"publishedAt":48,"linkOnly":49,"markdownContent":50,"markdownBody":51,"frontMatter":52,"refName":53,"commitSha":54,"skillDirectory":55,"forksCount":56,"repositoryHtmlUrl":57,"repositoryHomepageUrl":6,"ownerHtmlUrl":58,"ownerBlogUrl":6,"ownerDescription":59,"updatedAt":60,"install":61,"resources":74},"01M6MXFA8PWGV8DA0F3FF20MWB","brand-analyzer",null,"Analyze brands to generate comprehensive brand identity profiles (JSON). Use when the user wants to analyze a brand, create a brand profile, or needs brand data for ad generation. Stores profiles for reuse across Ad-Ready, Morpheus, and other creative workflows. Can list existing profiles and update them.","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fbrand-identity-analyzer\u002FSKILL.md",[17,22],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000015","视觉设计","SCENARIO","使用场景",{"categoryNo":23,"categoryName":24,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000032","设计师","PROFESSION","适用职业",[28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"brand analyzer","analyzer","brand","ready","Existing","for","can","profiles","reuse","ad-ready","across","workflows","use","list","analyze","data","update","generate","create","identity","2026-11-10 10:12:30",false,"---\nname: brand-analyzer\ndescription: Analyze brands to generate comprehensive brand identity profiles (JSON). Use when the user wants to analyze a brand, create a brand profile, or needs brand data for ad generation. Stores profiles for reuse across Ad-Ready, Morpheus, and other creative workflows. Can list existing profiles and update them.\n---\n\n# Brand Analyzer: AI Brand Identity Profiler\n\nAnalyze any brand to generate a comprehensive brand identity JSON profile using Gemini Flash with Google Search grounding.\n\n## Overview\n\nBrand Analyzer creates structured brand identity profiles by:\n1. **Researching** the brand via Google Search (official data, campaigns, visual identity)\n2. **Analyzing** brand behavior, visual patterns, photography style, tone of voice\n3. **Generating** a complete JSON profile following the standard template\n4. **Storing** the profile for reuse across all creative workflows\n\n## When to Use\n\n- User asks to \"analyze a brand\" or \"create a brand profile\"\n- Before running Ad-Ready when the brand isn't in the catalog\n- When the user mentions a brand that doesn't have a profile yet\n- To update\u002Frefresh an existing brand profile\n\n## Quick Commands\n\n### Analyze a brand and save to file\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run {baseDir}\u002Fscripts\u002Fanalyze.py \\\n  --brand \"Brand Name\" \\\n  --output .\u002Fbrands\u002FBrand_Name.json\n```\n\n### Analyze and auto-save to Ad-Ready brands catalog\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run {baseDir}\u002Fscripts\u002Fanalyze.py \\\n  --brand \"Heredero Gin\" \\\n  --auto-save\n```\n\nThe `--auto-save` flag automatically saves to `~\u002Fclawd\u002Fad-ready\u002Fconfigs\u002FBrands\u002F{Brand_Name}.json`\n\n### ⚠️ MANDATORY: Push to GitHub After Every New Brand Profile\n\n**Every time a new brand profile is generated and saved, it MUST be pushed to GitHub immediately.** This is non-optional — the ComfyDeploy deployment pulls brand profiles from the repo.\n\n```bash\ncd ~\u002Fclawd\u002Fad-ready\ngit add configs\u002FBrands\u002F{Brand_Name}.json\ngit commit -m \"Add brand profile: {Brand Name}\"\ngit push origin main\n```\n\nDo NOT skip this step. The ad generation pipeline on ComfyDeploy needs the profile in the repo to work correctly.\n\n### Print to stdout\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run {baseDir}\u002Fscripts\u002Fanalyze.py --brand \"Nike\"\n```\n\n## Inputs\n\n| Input | Required | Description |\n|-------|----------|-------------|\n| `--brand` | ✅ | Brand name to analyze |\n| `--output` | Optional | Output file path (default: stdout) |\n| `--auto-save` | Optional | Auto-save to Ad-Ready brands catalog |\n| `--api-key` | Optional | Gemini API key (or set `GEMINI_API_KEY` env var) |\n\n## Output Format\n\nThe generated JSON follows the standard brand identity template used by Ad-Ready:\n\n```json\n{\n  \"brand_info\": { \"name\", \"tagline\", \"category\", \"positioning\", \"vision\", \"mission\", \"origin_story\" },\n  \"brand_values\": { \"core_values\", \"brand_promise\", \"differentiators\", \"non_negotiables\" },\n  \"target_audience\": { \"demographics\", \"psychographics\" },\n  \"tone_of_voice\": { \"personality_traits\", \"communication_style\", \"language_register\", ... },\n  \"visual_identity\": { \"logo\", \"color_system\", \"typography\", \"layout_principles\" },\n  \"photography\": { \"style\", \"technical\" },\n  \"campaign_guidelines\": { \"visual_tone\", \"model_casting\", \"product_presentation\", ... },\n  \"brand_behavior\": { \"do_dont\", \"immutability\" },\n  \"channel_expression\": { \"retail\", \"digital\", \"print\" },\n  \"compliance\": { ... }\n}\n```\n\n## Integration with Other Workflows\n\n### Ad-Ready\nBrand profiles are automatically available as `brand_profile` options when generating ads.\n\n### Morpheus Fashion Design\nBrand visual identity (colors, photography style, tone) can inform Morpheus campaigns.\n\n### Custom Workflows\nLoad any brand profile JSON to extract visual identity, tone of voice, or campaign guidelines for any creative task.\n\n## Analysis Methodology\n\nThe analyzer follows a 3-phase approach:\n\n### Phase 1: Official Research (via Google Search)\n- Brand website, corporate pages, official communications\n- Locks canonical data: name, founding, positioning, vision, mission, tagline\n\n### Phase 2: Campaign Research (via Google Search)\n- Google Images and Pinterest for advertising campaigns\n- Identifies 10+ distinct campaigns\n- Treats them as analytical reference material\n\n### Phase 3: Deductive Visual Analysis\n- Cross-sectional analysis of visual patterns\n- Identifies recurring photography style, color systems, typography\n- Fills visual identity fields not covered by official data\n\n## API Key\n\nUses Gemini API. Set via:\n- `GEMINI_API_KEY` environment variable\n- `--api-key` flag\n","# Brand Analyzer: AI Brand Identity Profiler\n\nAnalyze any brand to generate a comprehensive brand identity JSON profile using Gemini Flash with Google Search grounding.\n\n## Overview\n\nBrand Analyzer creates structured brand identity profiles by:\n1. **Researching** the brand via Google Search (official data, campaigns, visual identity)\n2. **Analyzing** brand behavior, visual patterns, photography style, tone of voice\n3. **Generating** a complete JSON profile following the standard template\n4. **Storing** the profile for reuse across all creative workflows\n\n## When to Use\n\n- User asks to \"analyze a brand\" or \"create a brand profile\"\n- Before running Ad-Ready when the brand isn't in the catalog\n- When the user mentions a brand that doesn't have a profile yet\n- To update\u002Frefresh an existing brand profile\n\n## Quick Commands\n\n### Analyze a brand and save to file\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run {baseDir}\u002Fscripts\u002Fanalyze.py \\\n  --brand \"Brand Name\" \\\n  --output .\u002Fbrands\u002FBrand_Name.json\n```\n\n### Analyze and auto-save to Ad-Ready brands catalog\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run {baseDir}\u002Fscripts\u002Fanalyze.py \\\n  --brand \"Heredero Gin\" \\\n  --auto-save\n```\n\nThe `--auto-save` flag automatically saves to `~\u002Fclawd\u002Fad-ready\u002Fconfigs\u002FBrands\u002F{Brand_Name}.json`\n\n### ⚠️ MANDATORY: Push to GitHub After Every New Brand Profile\n\n**Every time a new brand profile is generated and saved, it MUST be pushed to GitHub immediately.** This is non-optional — the ComfyDeploy deployment pulls brand profiles from the repo.\n\n```bash\ncd ~\u002Fclawd\u002Fad-ready\ngit add configs\u002FBrands\u002F{Brand_Name}.json\ngit commit -m \"Add brand profile: {Brand Name}\"\ngit push origin main\n```\n\nDo NOT skip this step. The ad generation pipeline on ComfyDeploy needs the profile in the repo to work correctly.\n\n### Print to stdout\n```bash\nGEMINI_API_KEY=\"$KEY\" uv run {baseDir}\u002Fscripts\u002Fanalyze.py --brand \"Nike\"\n```\n\n## Inputs\n\n| Input | Required | Description |\n|-------|----------|-------------|\n| `--brand` | ✅ | Brand name to analyze |\n| `--output` | Optional | Output file path (default: stdout) |\n| `--auto-save` | Optional | Auto-save to Ad-Ready brands catalog |\n| `--api-key` | Optional | Gemini API key (or set `GEMINI_API_KEY` env var) |\n\n## Output Format\n\nThe generated JSON follows the standard brand identity template used by Ad-Ready:\n\n```json\n{\n  \"brand_info\": { \"name\", \"tagline\", \"category\", \"positioning\", \"vision\", \"mission\", \"origin_story\" },\n  \"brand_values\": { \"core_values\", \"brand_promise\", \"differentiators\", \"non_negotiables\" },\n  \"target_audience\": { \"demographics\", \"psychographics\" },\n  \"tone_of_voice\": { \"personality_traits\", \"communication_style\", \"language_register\", ... },\n  \"visual_identity\": { \"logo\", \"color_system\", \"typography\", \"layout_principles\" },\n  \"photography\": { \"style\", \"technical\" },\n  \"campaign_guidelines\": { \"visual_tone\", \"model_casting\", \"product_presentation\", ... },\n  \"brand_behavior\": { \"do_dont\", \"immutability\" },\n  \"channel_expression\": { \"retail\", \"digital\", \"print\" },\n  \"compliance\": { ... }\n}\n```\n\n## Integration with Other Workflows\n\n### Ad-Ready\nBrand profiles are automatically available as `brand_profile` options when generating ads.\n\n### Morpheus Fashion Design\nBrand visual identity (colors, photography style, tone) can inform Morpheus campaigns.\n\n### Custom Workflows\nLoad any brand profile JSON to extract visual identity, tone of voice, or campaign guidelines for any creative task.\n\n## Analysis Methodology\n\nThe analyzer follows a 3-phase approach:\n\n### Phase 1: Official Research (via Google Search)\n- Brand website, corporate pages, official communications\n- Locks canonical data: name, founding, positioning, vision, mission, tagline\n\n### Phase 2: Campaign Research (via Google Search)\n- Google Images and Pinterest for advertising campaigns\n- Identifies 10+ distinct campaigns\n- Treats them as analytical reference material\n\n### Phase 3: Deductive Visual Analysis\n- Cross-sectional analysis of visual patterns\n- Identifies recurring photography style, color systems, typography\n- Fills visual identity fields not covered by official data\n\n## API Key\n\nUses Gemini API. Set via:\n- `GEMINI_API_KEY` environment variable\n- `--api-key` flag\n",{"name":5,"description":7},"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","人工智能与大型语言模型\u002Fbrand-identity-analyzer",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":62,"prompt":72,"zipAvailable":73},[63,66,69],{"tool":64,"command":65},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill brand-analyzer",{"tool":67,"command":68},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill brand-analyzer",{"tool":70,"command":71},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill brand-analyzer","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fbrand-identity-analyzer\u002FSKILL.md",true,[75,81],{"path":76,"resourceType":77,"resourceTypeDesc":78,"sizeBytes":79,"sourceHtmlUrl":80},"_meta.json","REFERENCE","参考文档",306,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fbrand-identity-analyzer\u002F_meta.json",{"path":82,"resourceType":83,"resourceTypeDesc":84,"sizeBytes":85,"sourceHtmlUrl":86},"scripts\u002Fanalyze.py","SCRIPT","脚本",14469,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fbrand-identity-analyzer\u002Fscripts\u002Fanalyze.py",[88,111,142,153,163,192],{"skillNo":89,"name":90,"nameZh":6,"description":91,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":92,"categories":93,"keywords":94,"publishedAt":48},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[90,95,96,97,98,99,40,100,101,102,103,104,105,106,107,108,109,110],"safe","ethereum","defi","Optimization","user","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":112,"name":113,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":114,"categories":115,"keywords":125,"publishedAt":48},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[116,119,122],{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":120,"categoryName":121,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":123,"categoryName":124,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000030","开发工程师",[126,127,128,129,130,131,132,97,133,100,134,135,136,137,138,38,139,140,141],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","positions","token","prices",{"skillNo":143,"name":144,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":150,"publishedAt":48},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[147,148,149],{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":120,"categoryName":121,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":123,"categoryName":124,"taxonomyType":25,"taxonomyTypeDesc":26},[126,151,152,127,128,129,130,131,132,97,133,100,135,136,137,138,38,139,140,141],"api skill","zerion api skill",{"skillNo":154,"name":155,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":161,"publishedAt":48},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[158,159,160],{"categoryNo":117,"categoryName":118,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":120,"categoryName":121,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":123,"categoryName":124,"taxonomyType":25,"taxonomyTypeDesc":26},[129,126,162,127,128,130,131,97,133,100,134,135,136,137,138,38,139,140,141],"zerion api mcp",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":172,"publishedAt":48},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[169],{"categoryNo":170,"categoryName":171,"taxonomyType":25,"taxonomyTypeDesc":26},"01JBSEEDCAT000000000000040","财务",[173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,33],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data",{"skillNo":193,"name":194,"nameZh":6,"description":195,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":196,"categories":197,"keywords":199,"publishedAt":48},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[198],{"categoryNo":170,"categoryName":171,"taxonomyType":25,"taxonomyTypeDesc":26},[173,174,176,200,201,202,203,204,205,184,206,207,208,209,210,211,212,213,141,191],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]