[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-AgriciDaniel-ads-apple-zh-CN":3,"guides-for-AgriciDaniel-ads-apple":665,"similar-k17axmnt3vft2pz0mp5j2egwj586ntwn-zh-CN":666},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":255,"isFallback":246,"parentExtension":260,"providers":323,"relations":327,"repo":328,"tags":662,"workflow":663},1778670051632.8704,"k17axmnt3vft2pz0mp5j2egwj586ntwn",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Apple Ads (formerly Apple Search Ads) deep analysis for mobile app advertisers. Evaluates campaign structure, bid health, Custom Product Pages (CPPs), MMP attribution, budget pacing, TAP coverage (Today/Search/Product Pages), Maximize Conversions bidding, and goal CPA benchmarks by country. Use when user says Apple Ads, Apple Search Ads, ASA, App Store ads, Apple ads, Search Ads, or is advertising a mobile app on iOS.",{"claudeCode":12},"AgriciDaniel/claude-ads","ads-apple","https://github.com/AgriciDaniel/claude-ads",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":236,"workflow":253},1778670124523.1982,"kn7f088xd0vzfchr8y1tc0j5b186mrg3","en",{"checks":20,"evaluatedAt":191,"extensionSummary":192,"features":193,"nonGoals":200,"practices":205,"prerequisites":209,"promptVersionExtension":211,"promptVersionScoring":212,"purpose":213,"rationale":214,"score":215,"summary":216,"tags":217,"targetMarket":223,"tier":224,"useCases":225,"workflow":230},[21,26,29,32,36,39,43,46,50,55,58,62,66,69,72,75,78,82,86,89,93,96,99,102,105,108,111,115,119,123,127,131,134,138,141,145,148,151,154,157,160,163,167,171,174,177,181,184,185,188],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly identifies the problem of deep analysis for mobile app advertisers on Apple Ads and names specific areas of evaluation.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers a deep, structured analysis with specific checks and scoring that goes beyond a simple prompt by evaluating multiple facets of Apple Ads campaigns.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill provides a comprehensive analysis covering structure, bids, CPPs, attribution, budget, TAP coverage, and CPA benchmarks, addressing the complete lifecycle of ad campaign evaluation.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The skill focuses exclusively on the deep analysis of Apple Ads campaigns, aligning with its stated purpose and avoiding scope creep into unrelated advertising platforms or functions.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The displayed description accurately reflects the skill's capabilities and usage context as detailed in the SKILL.md file.",{"category":40,"check":41,"severity":24,"summary":42},"Invocation","Precise Purpose","The purpose is precisely defined, naming the artifact (Apple Ads campaigns) and the user intent (deep analysis, evaluation), with clear triggers and implicit non-goals.",{"category":40,"check":44,"severity":24,"summary":45},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability with specific trigger phrases.",{"category":47,"check":48,"severity":24,"summary":49},"Documentation","Concise Body","The SKILL.md body is reasonably concise and details the analysis process and criteria without excessive verbosity.",{"category":51,"check":52,"severity":53,"summary":54},"Context","Progressive Disclosure","not_applicable","The skill does not require progressive disclosure as its content is already well-structured and not excessively long.",{"category":51,"check":56,"severity":53,"summary":57},"Forked exploration","The skill performs analysis rather than deep exploration, so forked exploration is not applicable.",{"category":22,"check":59,"severity":60,"summary":61},"Usage examples","warning","The SKILL.md file outlines the process and data requested but lacks concrete, end-to-end usage examples showing input, invocation, and observable outcome.",{"category":22,"check":63,"severity":64,"summary":65},"Edge cases","info","The SKILL.md mentions specific platform changes and deprecated features, but a dedicated section detailing failure modes and recovery steps for user-provided data is absent.",{"category":33,"check":67,"severity":53,"summary":68},"Scoped tools","This is a skill and does not expose explicit tools in the traditional sense.",{"category":47,"check":70,"severity":53,"summary":71},"Configuration & parameter reference","The skill does not expose configurable parameters beyond the data requested from the user.",{"category":33,"check":73,"severity":53,"summary":74},"Tool naming","As this is a skill and not a tool-based extension, tool naming is not applicable.",{"category":33,"check":76,"severity":53,"summary":77},"Minimal I/O surface","This check is not applicable as the skill does not expose tools with parameter schemas.",{"category":79,"check":80,"severity":24,"summary":81},"License","License usability","The extension is licensed under the MIT license, as indicated by the LICENSE file and README.",{"category":83,"check":84,"severity":24,"summary":85},"Maintenance","Commit recency","The repository has recent commits, with the last push occurring on April 24, 2026.",{"category":83,"check":87,"severity":53,"summary":88},"Dependency Management","The extension does not appear to have third-party dependencies that require explicit management within the extension's code.",{"category":90,"check":91,"severity":53,"summary":92},"Security","Secret Management","The skill analyzes user-provided data and does not handle or expose secrets.",{"category":90,"check":94,"severity":24,"summary":95},"Injection","The skill analyzes static data provided by the user and does not fetch or execute external code, mitigating injection risks.",{"category":90,"check":97,"severity":24,"summary":98},"Transitive Supply-Chain Grenades","The skill does not load external files or perform runtime downloads, preventing transitive supply chain risks.",{"category":90,"check":100,"severity":24,"summary":101},"Sandbox Isolation","The skill operates on user-provided data locally and does not modify files outside its designated scope.",{"category":90,"check":103,"severity":24,"summary":104},"Sandbox escape primitives","No detached-process spawns or deny-retry loops were found in the skill's logic.",{"category":90,"check":106,"severity":24,"summary":107},"Data Exfiltration","The skill analyzes local data and does not perform any outbound calls that could exfiltrate data.",{"category":90,"check":109,"severity":24,"summary":110},"Hidden Text Tricks","The bundled content is free of hidden-steering tricks and uses clean printable ASCII.",{"category":112,"check":113,"severity":24,"summary":114},"Hooks","Opaque code execution","The skill's logic is presented in plain, readable markdown and does not involve obfuscated code or runtime execution.",{"category":116,"check":117,"severity":24,"summary":118},"Portability","Structural Assumption","The skill assumes user-provided data and does not make structural assumptions about the user's project layout.",{"category":120,"check":121,"severity":24,"summary":122},"Trust","Issues Attention","With 7 open and 4 closed issues in the last 90 days, the closure rate is sufficient, indicating good maintainer engagement.",{"category":124,"check":125,"severity":24,"summary":126},"Versioning","Release Management","A meaningful version (v1.5) is indicated in the SKILL.md frontmatter, and the project has GitHub releases.",{"category":128,"check":129,"severity":64,"summary":130},"Execution","Validation","While the skill specifies what data to request, explicit schema validation or sanitization for user-provided inputs is not detailed.",{"category":90,"check":132,"severity":24,"summary":133},"Unguarded Destructive Operations","The skill is purely analytical and does not perform any destructive operations.",{"category":135,"check":136,"severity":64,"summary":137},"Code Execution","Error Handling","The SKILL.md outlines the process but does not detail specific error handling mechanisms for invalid user input or analysis failures.",{"category":135,"check":139,"severity":53,"summary":140},"Logging","The skill is purely analytical and does not perform actions that require local audit logging.",{"category":142,"check":143,"severity":53,"summary":144},"Compliance","GDPR","The skill does not operate on personal data; it analyzes ad campaign metrics.",{"category":142,"check":146,"severity":24,"summary":147},"Target market","The skill's analysis of Apple Ads is globally applicable, and no specific regional restrictions are indicated.",{"category":116,"check":149,"severity":24,"summary":150},"Runtime stability","The skill is written in markdown and relies on the Claude Code runtime, with no OS or shell-specific assumptions.",{"category":47,"check":152,"severity":24,"summary":153},"README","The README file is comprehensive and clearly states the extension's purpose, features, and installation instructions.",{"category":33,"check":155,"severity":53,"summary":156},"Tool surface size","This is a skill with a single primary command, not an extension with multiple tools.",{"category":40,"check":158,"severity":53,"summary":159},"Overlapping near-synonym tools","As this is a skill, this check is not applicable.",{"category":47,"check":161,"severity":60,"summary":162},"Phantom features","While the README lists many platforms, the SKILL.md for this specific extension only details Apple Ads, suggesting potential phantom features advertised at the repository level for other platforms not implemented here.",{"category":164,"check":165,"severity":24,"summary":166},"Install","Installation instruction","The README provides clear installation instructions for multiple platforms and includes copy-pasteable commands.",{"category":168,"check":169,"severity":64,"summary":170},"Errors","Actionable error messages","The SKILL.md describes the analysis process but does not explicitly detail error handling for user input or analytical failures, which could hinder actionable error reporting.",{"category":128,"check":172,"severity":53,"summary":173},"Pinned dependencies","The skill does not have external script dependencies that require pinning.",{"category":33,"check":175,"severity":53,"summary":176},"Dry-run preview","The skill is purely analytical and does not perform state-changing operations.",{"category":178,"check":179,"severity":53,"summary":180},"Protocol","Idempotent retry & timeouts","The skill does not interact with external services or perform state-changing operations requiring idempotency or timeouts.",{"category":142,"check":182,"severity":53,"summary":183},"Telemetry opt-in","The skill operates locally and does not emit telemetry.",{"category":40,"check":48,"severity":24,"summary":49},{"category":135,"check":186,"severity":64,"summary":187},"Halt on unexpected state","The skill outlines analysis criteria but does not explicitly state how it halts or reports on unexpected pre-state conditions of user-provided data.",{"category":116,"check":189,"severity":64,"summary":190},"Cross-skill coupling","The README mentions other platform audits, but the SKILL.md for Apple Ads is self-contained and does not explicitly link to or rely on other skills.",1778670124418,"This skill analyzes Apple Ads (formerly Apple Search Ads) campaigns, evaluating structure, bid health, custom product pages, attribution, budget pacing, placement coverage, and CPA benchmarks.",[194,195,196,197,198,199],"Evaluates Apple Ads campaign structure","Analyzes bid health and performance metrics","Assesses Custom Product Pages (CPPs) and their impact","Reviews MMP attribution and AdAttributionKit integration","Assesses budget pacing and TAP coverage","Compares performance against industry benchmarks by country and category",[201,202,203,204],"Creating or managing Apple Ads campaigns directly.","Providing real-time bidding adjustments.","Analyzing ad performance on platforms other than Apple Ads.","Providing generic marketing advice not specific to Apple Ads analysis.",[206,207,208],"Performance Analysis","Campaign Optimization","Data-driven Decision Making",[210],"Apple Ads account data (exports or pasted metrics)","3.0.0","4.4.0","To provide mobile app advertisers with a deep, data-driven analysis of their Apple Ads campaigns, identifying areas for optimization and improvement.","The skill is well-documented and highly focused, with strong practical utility and adherence to security best practices. A minor warning for phantom features in the README and a lack of explicit usage examples slightly lower the score from a perfect 100.",88,"A comprehensive and secure skill for deep analysis of Apple Ads campaigns.",[218,219,220,221,222],"apple-ads","app-advertising","performance-analysis","marketing-automation","mobile-app","global","community",[226,227,228,229],"Use when a user requests an audit of their Apple Ads campaigns.","Use when a user needs to understand why their Apple Ads performance is declining.","Use when a user wants to optimize their Apple Ads strategy for better ROI.","Use when a user needs to benchmark their Apple Ads performance against industry standards.",[231,232,233,234,235],"Collect Apple Ads account data","Identify active placement types","Evaluate predefined checks for PASS, WARNING, or FAIL","Calculate ASA Health Score (0-100)","Generate findings report with action plan",{"codeQuality":237,"collectedAt":239,"documentation":240,"maintenance":243,"security":250,"testCoverage":252},{"hasLockfile":238},false,1778670106928,{"descriptionLength":241,"readmeSize":242},421,14902,{"closedIssues90d":244,"forks":245,"hasChangelog":246,"openIssues90d":247,"pushedAt":248,"stars":249},4,755,true,7,1777064907000,4828,{"hasNpmPackage":238,"license":251,"smitheryVerified":238},"MIT",{"hasCi":246,"hasTests":238},{"updatedAt":254},1778670124523,{"basePath":256,"githubOwner":257,"githubRepo":258,"locale":18,"slug":13,"type":259},"skills/ads-apple","AgriciDaniel","claude-ads","skill",{"_creationTime":261,"_id":262,"community":263,"display":264,"identity":268,"parentExtension":271,"providers":307,"relations":319,"tags":320,"workflow":321},1778670051632.8699,"k17faenp6zendr5jm8f4a74qfs86ndtf",{"reviewCount":8},{"description":265,"installMethods":266,"name":267,"sourceUrl":14},"Comprehensive paid advertising audit, optimization, and AI creative generation for Claude 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Code",{"claudeCode":12},{"basePath":269,"githubOwner":257,"githubRepo":258,"locale":18,"slug":258,"type":279},"marketplace",{"evaluate":281,"extract":294},{"promptVersionExtension":282,"promptVersionScoring":212,"score":283,"tags":284,"targetMarket":223,"tier":293},"3.1.0",97,[285,286,287,288,289,290,291,292],"advertising","audit","optimization","marketing","ppc","claude-code","google-ads","meta-ads","verified",{"commitSha":295,"license":251,"marketplace":296,"plugin":299},"HEAD",{"name":297,"pluginCount":298},"agricidaniel-claude-ads",1,{"mcpCount":8,"provider":300,"skillCount":8},"classify",{"repoId":302},"kd7dd1sz3sg1kvn1j4cqdz9zbx86m87c",[285,286,290,291,288,292,287,289],{"evaluatedAt":305,"extractAt":306,"updatedAt":305},1778672370003,1778670051632,{"evaluate":308,"extract":316},{"promptVersionExtension":211,"promptVersionScoring":212,"score":309,"tags":310,"targetMarket":223,"tier":224},95,[285,289,292,291,311,312,313,218,314,286,315],"tiktok-ads","linkedin-ads","microsoft-ads","creative-generation","strategy",{"commitSha":295,"license":251,"plugin":317},{"mcpCount":8,"provider":300,"skillCount":318},2,{"parentExtensionId":273,"repoId":302},[285,218,286,314,291,312,292,313,289,315,311],{"evaluatedAt":322,"extractAt":306,"updatedAt":322},1778672382079,{"evaluate":324,"extract":326},{"promptVersionExtension":211,"promptVersionScoring":212,"score":215,"tags":325,"targetMarket":223,"tier":224},[218,219,220,221,222],{"commitSha":295,"license":251},{"parentExtensionId":262,"repoId":302},{"_creationTime":329,"_id":302,"identity":330,"providers":331,"workflow":658},1778670047385.8599,{"githubOwner":257,"githubRepo":258,"sourceUrl":14},{"classify":332,"discover":646,"github":649},{"commitSha":295,"extensions":333},[334,347,414,472,477,485,493,501,509,517,525,533,541,549,557,565,573,581,589,622,630,638],{"basePath":269,"description":276,"displayName":297,"installMethods":335,"rationale":336,"selectedPaths":337,"source":346,"sourceLanguage":18,"type":279},{"claudeCode":12},"marketplace.json 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paid advertising audit and optimization skill. Analyzes Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, and Apple Ads. 250+ checks with scoring, parallel agents, industry templates, and AI creative generation.",{"claudeCode":12},"SKILL.md frontmatter at ads/SKILL.md",[420,422,424,426,428,430,432,434,436,438,440,442,444,446,448,450,452,454,456,458,460,462,464,466,468,470],{"path":421,"priority":340},"SKILL.md",{"path":423,"priority":357},"references/additional-platforms.md",{"path":425,"priority":357},"references/benchmarks.md",{"path":427,"priority":357},"references/bidding-strategies.md",{"path":429,"priority":357},"references/brand-dna-template.md",{"path":431,"priority":357},"references/budget-allocation.md",{"path":433,"priority":357},"references/compliance.md",{"path":435,"priority":357},"references/conversion-tracking.md",{"path":437,"priority":357},"references/copy-frameworks.md",{"path":439,"priority":357},"references/gaql-notes.md",{"path":441,"priority":357},"references/google-audit.md",{"path":443,"priority":357},"references/google-creative-specs.md",{"path":445,"priority":357},"references/image-providers.md",{"path":447,"priority":357},"references/linkedin-audit.md",{"path":449,"priority":357},"references/linkedin-creative-specs.md",{"path":451,"priority":357},"references/mcp-integration.md",{"path":453,"priority":357},"references/meta-audit.md",{"path":455,"priority":357},"references/meta-creative-specs.md",{"path":457,"priority":357},"references/microsoft-audit.md",{"path":459,"priority":357},"references/microsoft-creative-specs.md",{"path":461,"priority":357},"references/platform-specs.md",{"path":463,"priority":357},"references/scoring-system.md",{"path":465,"priority":357},"references/tiktok-audit.md",{"path":467,"priority":357},"references/tiktok-creative-specs.md",{"path":469,"priority":357},"references/voice-to-style.md",{"path":471,"priority":357},"references/youtube-creative-specs.md",{"basePath":256,"description":10,"displayName":13,"installMethods":473,"rationale":474,"selectedPaths":475,"source":346,"sourceLanguage":18,"type":259},{"claudeCode":12},"SKILL.md frontmatter at skills/ads-apple/SKILL.md",[476],{"path":421,"priority":340},{"basePath":478,"description":479,"displayName":480,"installMethods":481,"rationale":482,"selectedPaths":483,"source":346,"sourceLanguage":18,"type":259},"skills/ads-audit","Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, and Microsoft Ads accounts. Generates health score per platform and aggregate score. Use when user says audit, full ad check, analyze my ads, account health check, or PPC audit.","ads-audit",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-audit/SKILL.md",[484],{"path":421,"priority":340},{"basePath":486,"description":487,"displayName":488,"installMethods":489,"rationale":490,"selectedPaths":491,"source":346,"sourceLanguage":18,"type":259},"skills/ads-budget","Budget allocation and bidding strategy review across all ad platforms. Evaluates spend distribution, bidding strategy appropriateness, scaling readiness, and identifies campaigns to kill or scale. Uses 70/20/10 rule, 3x Kill Rule, and 20% scaling rule. Use when user says budget allocation, bidding strategy, ad spend, ROAS target, media budget, or scaling.","ads-budget",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-budget/SKILL.md",[492],{"path":421,"priority":340},{"basePath":494,"description":495,"displayName":496,"installMethods":497,"rationale":498,"selectedPaths":499,"source":346,"sourceLanguage":18,"type":259},"skills/ads-competitor","Competitor ad intelligence analysis across Google, Meta, LinkedIn, TikTok, Microsoft, and Apple Ads. Analyzes competitor ad copy, creative strategy, keyword targeting, estimated spend, and identifies competitive gaps and opportunities. Use when user says competitor ads, ad spy, competitive analysis, competitor PPC, or ad intelligence.","ads-competitor",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-competitor/SKILL.md",[500],{"path":421,"priority":340},{"basePath":502,"description":503,"displayName":504,"installMethods":505,"rationale":506,"selectedPaths":507,"source":346,"sourceLanguage":18,"type":259},"skills/ads-create","Campaign concept and copy brief generator for paid advertising. Reads brand-profile.json and optional audit results to produce structured campaign concepts, messaging pillars, and copy briefs. Outputs campaign-brief.md to the current directory. Run after /ads dna and before /ads generate. Triggers on: create campaign, campaign brief, ad concepts, write ad copy, campaign strategy, ad messaging, creative brief, generate concepts.","ads-create",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-create/SKILL.md",[508],{"path":421,"priority":340},{"basePath":510,"description":511,"displayName":512,"installMethods":513,"rationale":514,"selectedPaths":515,"source":346,"sourceLanguage":18,"type":259},"skills/ads-creative","Cross-platform creative quality audit covering ad copy, video, image, and format diversity across all platforms. Detects creative fatigue, evaluates platform-native compliance, and provides production priorities. Use when user says creative audit, ad creative, creative fatigue, ad copy, ad design, or creative review.","ads-creative",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-creative/SKILL.md",[516],{"path":421,"priority":340},{"basePath":518,"description":519,"displayName":520,"installMethods":521,"rationale":522,"selectedPaths":523,"source":346,"sourceLanguage":18,"type":259},"skills/ads-dna","Brand DNA extractor for paid advertising. Scans a website URL to extract visual identity, tone of voice, color palette, typography, and imagery style. Outputs brand-profile.json to the current directory. Run before /ads create or /ads generate for brand-consistent creative. Triggers on: brand DNA, brand profile, extract brand, brand identity, brand colors, what is the brand voice, analyze brand, brand style guide.","ads-dna",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-dna/SKILL.md",[524],{"path":421,"priority":340},{"basePath":526,"description":527,"displayName":528,"installMethods":529,"rationale":530,"selectedPaths":531,"source":346,"sourceLanguage":18,"type":259},"skills/ads-generate","AI image generation for paid ad creatives. Reads campaign-brief.md and brand-profile.json to produce platform-sized ad images using banana-claude. Requires banana-claude (v1.4.1+) with nanobanana-mcp configured. Triggers on: generate ads, create images, make ad creatives, generate visuals, create ad images, generate campaign images, make the images, generate from brief.","ads-generate",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-generate/SKILL.md",[532],{"path":421,"priority":340},{"basePath":534,"description":535,"displayName":536,"installMethods":537,"rationale":538,"selectedPaths":539,"source":346,"sourceLanguage":18,"type":259},"skills/ads-google","Google Ads deep analysis covering Search, Performance Max, Display, YouTube, and Demand Gen campaigns. Evaluates 80 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Use when user says Google Ads, Google PPC, search ads, PMax, Performance Max, or Google campaign.","ads-google",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-google/SKILL.md",[540],{"path":421,"priority":340},{"basePath":542,"description":543,"displayName":544,"installMethods":545,"rationale":546,"selectedPaths":547,"source":346,"sourceLanguage":18,"type":259},"skills/ads-landing","Landing page quality assessment for paid advertising campaigns. Evaluates message match, page speed, mobile experience, trust signals, form optimization, and conversion rate potential. Use when user says landing page, post-click experience, landing page audit, conversion rate, or landing page optimization.","ads-landing",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-landing/SKILL.md",[548],{"path":421,"priority":340},{"basePath":550,"description":551,"displayName":552,"installMethods":553,"rationale":554,"selectedPaths":555,"source":346,"sourceLanguage":18,"type":259},"skills/ads-linkedin","LinkedIn Ads deep analysis for B2B advertising. Evaluates 27 checks across technical setup, audience targeting, creative quality, lead gen forms, and bidding strategy. Includes Thought Leader Ads, ABM, and predictive audiences. Use when user says LinkedIn Ads, B2B ads, sponsored content, lead gen forms, InMail, or LinkedIn campaign.","ads-linkedin",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-linkedin/SKILL.md",[556],{"path":421,"priority":340},{"basePath":558,"description":559,"displayName":560,"installMethods":561,"rationale":562,"selectedPaths":563,"source":346,"sourceLanguage":18,"type":259},"skills/ads-math","PPC financial calculator and modeling tool. CPA, ROAS, CPL calculations, break-even analysis, impression share opportunity sizing, budget forecasting, LTV:CAC ratio analysis, and MER (Marketing Efficiency Ratio) assessment. Requires zero API access. Works with pasted data from exports. Use when user says PPC math, ad calculator, break-even, budget forecast, ROAS calculator, CPA calculator, impression share, LTV CAC, or MER.","ads-math",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-math/SKILL.md",[564],{"path":421,"priority":340},{"basePath":566,"description":567,"displayName":568,"installMethods":569,"rationale":570,"selectedPaths":571,"source":346,"sourceLanguage":18,"type":259},"skills/ads-meta","Meta Ads deep analysis covering Facebook and Instagram advertising. Evaluates 50 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, and audience targeting. Includes Advantage+ assessment. Use when user says Meta Ads, Facebook Ads, Instagram Ads, Advantage+, or Meta campaign.","ads-meta",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-meta/SKILL.md",[572],{"path":421,"priority":340},{"basePath":574,"description":575,"displayName":576,"installMethods":577,"rationale":578,"selectedPaths":579,"source":346,"sourceLanguage":18,"type":259},"skills/ads-microsoft","Microsoft/Bing Ads deep analysis covering search, Performance Max, Audience Network, and Copilot integration. Evaluates 24 checks with focus on Google import validation, unique Microsoft features, and cost advantage assessment. Use when user says Microsoft Ads, Bing Ads, Bing PPC, Copilot ads, or Microsoft campaign.","ads-microsoft",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-microsoft/SKILL.md",[580],{"path":421,"priority":340},{"basePath":582,"description":583,"displayName":584,"installMethods":585,"rationale":586,"selectedPaths":587,"source":346,"sourceLanguage":18,"type":259},"skills/ads-photoshoot","Product photography enhancement for ad creatives using banana-claude image generation. Takes a product image and generates 5 professional photography styles for ad use: Studio, Floating, Ingredient, In Use, and Lifestyle. Requires banana-claude (v1.4.1+) with nanobanana-mcp. Triggers on: product photo, product photography, photoshoot, enhance product image, product shoot, product photos for ads, generate product photos, studio shot, lifestyle photo.","ads-photoshoot",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-photoshoot/SKILL.md",[588],{"path":421,"priority":340},{"basePath":590,"description":591,"displayName":592,"installMethods":593,"rationale":594,"selectedPaths":595,"source":346,"sourceLanguage":18,"type":259},"skills/ads-plan","Strategic paid advertising planning with industry-specific templates. Covers platform selection, campaign architecture, budget planning, creative strategy, and phased implementation roadmap. Use when user says ad plan, ad strategy, campaign planning, media plan, PPC strategy, or advertising plan.","ads-plan",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-plan/SKILL.md",[596,597,600,602,604,606,608,610,612,614,616,618,620],{"path":421,"priority":340},{"path":598,"priority":599},"assets/agency.md","low",{"path":601,"priority":599},"assets/b2b-enterprise.md",{"path":603,"priority":599},"assets/ecommerce-creative.md",{"path":605,"priority":599},"assets/ecommerce.md",{"path":607,"priority":599},"assets/finance.md",{"path":609,"priority":599},"assets/generic.md",{"path":611,"priority":599},"assets/healthcare.md",{"path":613,"priority":599},"assets/info-products.md",{"path":615,"priority":599},"assets/local-service.md",{"path":617,"priority":599},"assets/mobile-app.md",{"path":619,"priority":599},"assets/real-estate.md",{"path":621,"priority":599},"assets/saas.md",{"basePath":623,"description":624,"displayName":625,"installMethods":626,"rationale":627,"selectedPaths":628,"source":346,"sourceLanguage":18,"type":259},"skills/ads-test","A/B test design and experiment planning for paid advertising. Structured hypothesis framework, statistical significance calculator, test duration estimator, sample size calculator, and platform-specific experiment setup guides (Meta Experiments, Google Experiments, LinkedIn A/B). Use when user says A/B test, split test, experiment design, test hypothesis, statistical significance, sample size, or test duration.","ads-test",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-test/SKILL.md",[629],{"path":421,"priority":340},{"basePath":631,"description":632,"displayName":633,"installMethods":634,"rationale":635,"selectedPaths":636,"source":346,"sourceLanguage":18,"type":259},"skills/ads-tiktok","TikTok Ads deep analysis covering creative quality, tracking, bidding, campaign structure, and TikTok Shop. Evaluates 28 checks with emphasis on creative-first strategy, safe zone compliance, and Smart+ campaigns. Use when user says TikTok Ads, TikTok marketing, TikTok Shop, Spark Ads, Smart+, or TikTok campaign.","ads-tiktok",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-tiktok/SKILL.md",[637],{"path":421,"priority":340},{"basePath":639,"description":640,"displayName":641,"installMethods":642,"rationale":643,"selectedPaths":644,"source":346,"sourceLanguage":18,"type":259},"skills/ads-youtube","YouTube Ads specific analysis covering campaign types, creative quality, audience targeting, and measurement. Evaluates video ad performance across skippable, non-skippable, bumper, Shorts, Demand Gen, and Connected TV formats. Covers VAC→Demand Gen migration, Shorts creative requirements, and CTV shoppable ads. Use when user says YouTube Ads, video ads, pre-roll, bumper ads, YouTube campaign, Shorts ads, or CTV ads.","ads-youtube",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-youtube/SKILL.md",[645],{"path":421,"priority":340},{"sources":647},[648],"manual",{"closedIssues90d":244,"description":650,"forks":245,"homepage":651,"license":251,"openIssues90d":247,"pushedAt":248,"readmeSize":242,"stars":652,"topics":653},"Comprehensive paid advertising audit & optimization skill for Claude Code. 250+ checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft & Apple Ads with weighted scoring, parallel agents, industry templates, and AI creative generation.","https://agricidaniel.com/blog/claude-code-ad-agency",4829,[290,654,655,656,221,657],"claude-code-skill","ai-marketing","ai","open-source",{"classifiedAt":659,"discoverAt":660,"extractAt":661,"githubAt":661,"updatedAt":659},1778672335214,1778670047385,1778672333449,[219,218,221,222,220],{"evaluatedAt":254,"extractAt":306,"updatedAt":664},1778672335695,[],[667,685,715,743,773,801],{"_creationTime":668,"_id":669,"community":670,"display":671,"identity":673,"providers":674,"relations":681,"tags":682,"workflow":683},1778670051632.87,"k1718na78131ydnjh4c4kjcjcs86n22d",{"reviewCount":8},{"description":416,"installMethods":672,"name":267,"sourceUrl":14},{"claudeCode":12},{"basePath":415,"githubOwner":257,"githubRepo":258,"locale":18,"slug":415,"type":259},{"evaluate":675,"extract":680},{"promptVersionExtension":211,"promptVersionScoring":212,"score":676,"tags":677,"targetMarket":223,"tier":224},96,[285,288,291,292,312,311,313,218,678,220,679],"roi","ai-creative",{"commitSha":295,"license":251},{"parentExtensionId":262,"repoId":302},[285,679,218,291,312,288,292,313,220,678,311],{"evaluatedAt":684,"extractAt":306,"updatedAt":684},1778672393071,{"_creationTime":686,"_id":687,"community":688,"display":689,"identity":695,"providers":700,"relations":709,"tags":711,"workflow":712},1778696113180.8242,"k170ebbqg34cpqm6jk508swepd86mk0a",{"reviewCount":8},{"description":690,"installMethods":691,"name":693,"sourceUrl":694},"Designing meeting schedulers and booking experiences that qualify leads, set up calls well, and convert at higher rates than a generic Calendly link. Availability logic, qualification gating, prep automation, follow-up sequencing. Honest about any-time-friction (no qualification, just a booking link), interrogation-gate (so much qualification it scares users off), and qualified-fast-path (just enough qualification to set up the call well) patterns. Triggers on scheduler design, meeting booking, demo scheduling, sales call scheduling, calendar tool, booking page, qualification flow. Also triggers when sales team complains about cold demos, when booking conversion is poor, or when scheduler is being scoped for the first time.",{"claudeCode":692},"rampstackco/claude-skills","Scheduler and Booking Design","https://github.com/rampstackco/claude-skills",{"basePath":696,"githubOwner":697,"githubRepo":698,"locale":18,"slug":699,"type":259},"skills/scheduler-and-booking-design","rampstackco","claude-skills","scheduler-and-booking-design",{"evaluate":701,"extract":708},{"promptVersionExtension":211,"promptVersionScoring":212,"score":702,"tags":703,"targetMarket":223,"tier":293},99,[704,705,706,221,707],"scheduling","sales-tooling","growth-hacking","conversion-optimization",{"commitSha":295,"license":251},{"repoId":710},"kd7bebccrrd1xf6w868aggftrd86m86v",[707,706,221,705,704],{"evaluatedAt":713,"extractAt":714,"updatedAt":713},1778697540945,1778696113180,{"_creationTime":716,"_id":717,"community":718,"display":719,"identity":725,"providers":729,"relations":737,"tags":739,"workflow":740},1778696691708.308,"k17ebq6z4bycskvnmtp93cegf586mjss",{"reviewCount":8},{"description":720,"installMethods":721,"name":723,"sourceUrl":724},"Run comprehensive worker system benchmarks and performance analysis",{"claudeCode":722},"ruvnet/ruflo","worker-benchmarks","https://github.com/ruvnet/ruflo",{"basePath":726,"githubOwner":727,"githubRepo":728,"locale":18,"slug":723,"type":259},".claude/skills/worker-benchmarks","ruvnet","ruflo",{"evaluate":730,"extract":736},{"promptVersionExtension":211,"promptVersionScoring":212,"score":702,"tags":731,"targetMarket":223,"tier":293},[732,220,733,734,735],"benchmarking","cli","testing","node-js",{"commitSha":295,"license":251},{"repoId":738},"kd7ed28gj8n0y3msk5dzrp05zs86nqtc",[732,733,735,220,734],{"evaluatedAt":741,"extractAt":742,"updatedAt":741},1778699552692,1778696691708,{"_creationTime":744,"_id":745,"community":746,"display":747,"identity":753,"providers":757,"relations":766,"tags":769,"workflow":770},1778695548458.3286,"k17e00nvv110z743hb7dkqb1r986ndpb",{"reviewCount":8},{"description":748,"installMethods":749,"name":751,"sourceUrl":752},"Systematically identify whether a GPU kernel is compute-bound, memory-bound, or latency-bound using roofline analysis, occupancy calculations, compute/load ratio per tile, and SASS instruction inspection. Produces a decision matrix for optimization strategy selection (cp.async, warp interleaving, tiling, double-buffering, or CuAssembler hand-tuning).\n",{"claudeCode":750},"pjt222/agent-almanac","analyze-kernel-bottleneck","https://github.com/pjt222/agent-almanac",{"basePath":754,"githubOwner":755,"githubRepo":756,"locale":18,"slug":751,"type":259},"skills/analyze-kernel-bottleneck","pjt222","agent-almanac",{"evaluate":758,"extract":765},{"promptVersionExtension":211,"promptVersionScoring":212,"score":702,"tags":759,"targetMarket":223,"tier":293},[760,761,220,287,762,763,764],"gpu","cuda","roofline","occupancy","sass",{"commitSha":295},{"parentExtensionId":767,"repoId":768},"k170h0janaa9kwn7cfgfz2ykss86mmh9","kd7aryv63z61j39n2td1aeqkvh86mh12",[761,760,763,287,220,762,764],{"evaluatedAt":771,"extractAt":772,"updatedAt":771},1778695758317,1778695548458,{"_creationTime":774,"_id":775,"community":776,"display":777,"identity":783,"providers":788,"relations":794,"tags":797,"workflow":798},1778694720643.032,"k172680r6w2sb02j6p57pszpcs86n6zn",{"reviewCount":8},{"description":778,"installMethods":779,"name":781,"sourceUrl":782},"Score and diagnose Google Ads landing pages. Use when asked to audit a landing page, check landing page quality, diagnose high-CTR but low-conversion-rate ad groups, improve Quality Score's Landing Page Experience component, or compare an ad group's messaging against its landing page. Trigger on \"landing page audit\", \"landing page score\", \"landing page quality\", \"why is my conversion rate low\", \"LPX\", \"landing page experience\", \"ad to page match\", or when `/google-ads-audit` surfaces a high-CTR / low-CVR ad group.",{"claudeCode":780},"nowork-studio/toprank","Google Ads Landing Page Audit","https://github.com/nowork-studio/toprank",{"basePath":784,"githubOwner":785,"githubRepo":786,"locale":18,"slug":787,"type":259},"google-ads/landing","nowork-studio","toprank","landing",{"evaluate":789,"extract":793},{"promptVersionExtension":211,"promptVersionScoring":212,"score":702,"tags":790,"targetMarket":223,"tier":293},[291,791,792,288,220],"seo","landing-page",{"commitSha":295,"license":251},{"parentExtensionId":795,"repoId":796},"k17dxqwvvhjw9ft30d5zz356z986my6s","kd74wn8s89tp9hrfsmcra492r586nbrv",[291,792,288,220,791],{"evaluatedAt":799,"extractAt":800,"updatedAt":799},1778694826770,1778694720643,{"_creationTime":802,"_id":803,"community":804,"display":805,"identity":811,"providers":816,"relations":823,"tags":827,"workflow":828},1778684048110.2644,"k17fe83x3ms256zen9hs0zz8qs86nw3v",{"reviewCount":8},{"description":806,"installMethods":807,"name":809,"sourceUrl":810},"使用此技能编写 shell 脚本或运行 shell 命令来自动化浏览器中的任务或以其他方式通过 CLI 使用 Chrome DevTools。",{"claudeCode":808},"ChromeDevTools/chrome-devtools-mcp","chrome-devtools-cli","https://github.com/ChromeDevTools/chrome-devtools-mcp",{"basePath":812,"githubOwner":813,"githubRepo":814,"locale":815,"slug":809,"type":259},"skills/chrome-devtools-cli","ChromeDevTools","chrome-devtools-mcp","zh-CN",{"evaluate":817,"extract":822},{"promptVersionExtension":211,"promptVersionScoring":212,"score":702,"tags":818,"targetMarket":223,"tier":224},[819,820,733,220,821],"browser-automation","devtools","debugging",{"commitSha":295},{"parentExtensionId":824,"repoId":825,"translatedFrom":826},"k17evynnzmmag96rw4rpybyydx86m0py","kd7an8ppnz1q2np9tc5yw4qenn86mg6h","k17f5kfmpyzqggewprfz7bxbm586m8a5",[819,733,821,820,220],{"evaluatedAt":829,"extractAt":830,"updatedAt":831},1778683892147,1778683762612,1778684048110]