[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-AgriciDaniel-ads-budget-de":3,"guides-for-AgriciDaniel-ads-budget":663,"similar-k1714ejf6j7act597wydpnkj2986ns4s-de":664},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":256,"isFallback":247,"parentExtension":261,"providers":320,"relations":324,"repo":325,"tags":660,"workflow":661},1778670051632.8708,"k1714ejf6j7act597wydpnkj2986ns4s",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"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.",{"claudeCode":12},"AgriciDaniel/claude-ads","ads-budget","https://github.com/AgriciDaniel/claude-ads",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":237,"workflow":254},1778670161056.7014,"kn7da4te0g0jrrgwka7vzk63rn86nhkh","en",{"checks":20,"evaluatedAt":196,"extensionSummary":197,"features":198,"nonGoals":204,"practices":208,"prerequisites":214,"promptVersionExtension":217,"promptVersionScoring":218,"purpose":219,"rationale":220,"score":221,"summary":222,"tags":223,"targetMarket":230,"tier":231,"useCases":232},[21,26,29,32,36,39,44,48,51,54,58,62,65,69,72,75,78,81,84,87,91,95,99,103,107,110,114,117,121,124,127,130,133,136,139,143,147,150,153,157,160,163,166,169,173,176,180,183,186,189,193],{"category":22,"check":23,"severity":24,"summary":25},"Practical Utility","Problem relevance","pass","The description clearly identifies the problem of budget allocation and bidding strategy review across ad platforms and specifies the user's intent through keywords like 'budget allocation', 'bidding strategy', 'ad spend', 'ROAS target', 'media budget', and 'scaling'.",{"category":22,"check":27,"severity":24,"summary":28},"Unique selling proposition","The skill offers unique value by applying specific rules like the 70/20/10 rule, 3x Kill Rule, and 20% scaling rule, and provides detailed analysis frameworks for different platforms, going beyond generic advice.",{"category":22,"check":30,"severity":24,"summary":31},"Production readiness","The skill covers the complete lifecycle of budget and bidding strategy review, including data collection, validation, analysis, and generating actionable recommendations like kill lists and scale lists, making it suitable for real workflows.",{"category":33,"check":34,"severity":24,"summary":35},"Scope","Single responsibility principle","The extension focuses solely on ad budget allocation and bidding strategy review, maintaining a single, coherent domain without extending into unrelated areas like campaign creation or creative generation.",{"category":33,"check":37,"severity":24,"summary":38},"Description quality","The provided description accurately and concisely reflects the skill's capabilities, including specific rules and use cases, and is easy to understand.",{"category":40,"check":41,"severity":42,"summary":43},"Invocation","Scoped tools","not_applicable","This is a skill that operates via natural language prompts, not through distinct, selectable tools with verb-noun interfaces.",{"category":45,"check":46,"severity":42,"summary":47},"Documentation","Configuration & parameter reference","As a skill, it does not expose configurable parameters or options in the traditional sense that would require documentation.",{"category":33,"check":49,"severity":42,"summary":50},"Tool naming","This is a skill and does not expose tools or commands with distinct names.",{"category":33,"check":52,"severity":42,"summary":53},"Minimal I/O surface","This is a skill and does not expose tools with input/output schemas.",{"category":55,"check":56,"severity":24,"summary":57},"License","License usability","The `LICENSE` file is present and clearly indicates the MIT license, which is a permissive open-source license.",{"category":59,"check":60,"severity":24,"summary":61},"Maintenance","Commit recency","The last commit was on April 24, 2026, which is within the last 3 months.",{"category":59,"check":63,"severity":42,"summary":64},"Dependency Management","The skill does not appear to use any third-party dependencies that would require explicit management or updating.",{"category":66,"check":67,"severity":42,"summary":68},"Security","Secret Management","The skill does not handle or expose any secrets; it operates on provided data and analytical rules.",{"category":66,"check":70,"severity":24,"summary":71},"Injection","The skill processes user-provided data and internal references but does not appear to execute arbitrary code or instructions from external sources.",{"category":66,"check":73,"severity":24,"summary":74},"Transitive Supply-Chain Grenades","The skill uses bundled reference files and does not fetch external content at runtime for execution, mitigating supply-chain risks.",{"category":66,"check":76,"severity":24,"summary":77},"Sandbox Isolation","As a skill operating within Claude Code, it is inherently sandboxed and does not modify files outside its designated scope.",{"category":66,"check":79,"severity":24,"summary":80},"Sandbox escape primitives","There are no indications of detached processes or retry loops designed to escape the sandbox environment.",{"category":66,"check":82,"severity":24,"summary":83},"Data Exfiltration","The skill analyzes provided ad data locally and does not exfiltrate any confidential information or personal data to third parties.",{"category":66,"check":85,"severity":24,"summary":86},"Hidden Text Tricks","The bundled SKILL.md and reference files do not contain hidden steering tricks, control characters, or other obfuscation methods.",{"category":88,"check":89,"severity":24,"summary":90},"Hooks","Opaque code execution","The skill's logic is contained within the SKILL.md file and does not involve obfuscated code, base64 payloads, or runtime script fetching.",{"category":92,"check":93,"severity":24,"summary":94},"Portability","Structural Assumption","The skill does not make assumptions about the user's project structure, relying on provided data exports rather than file layouts.",{"category":96,"check":97,"severity":24,"summary":98},"Trust","Issues Attention","With 7 issues opened and 4 closed in the last 90 days, the closure rate is over 50%, indicating good maintainer engagement.",{"category":100,"check":101,"severity":24,"summary":102},"Versioning","Release Management","The SKILL.md frontmatter includes a version ('v1.5') and an update date, indicating a clear versioning signal.",{"category":104,"check":105,"severity":24,"summary":106},"Execution","Validation","The skill's logic includes validation steps for data, such as confirming spend data duration and minimum clicks for kill list candidates.",{"category":66,"check":108,"severity":24,"summary":109},"Unguarded Destructive Operations","The skill provides recommendations but does not perform any destructive operations on the user's ad accounts.",{"category":111,"check":112,"severity":24,"summary":113},"Code Execution","Error Handling","The skill's process includes validation steps that would likely halt execution on unexpected states, and the output format is structured, implying robust error handling.",{"category":111,"check":115,"severity":42,"summary":116},"Logging","As a skill, it does not perform destructive actions or outbound calls that would necessitate a local audit log.",{"category":118,"check":119,"severity":24,"summary":120},"Compliance","GDPR","The skill operates on aggregated ad performance data and does not process personal data directly. It doesn't submit data to third parties.",{"category":118,"check":122,"severity":24,"summary":123},"Target market","The skill is global in scope, providing universal principles for ad budget allocation and bidding strategies applicable across different regions.",{"category":92,"check":125,"severity":24,"summary":126},"Runtime stability","The skill relies on Claude Code's environment and does not make assumptions about specific editors, shells, or operating systems.",{"category":45,"check":128,"severity":24,"summary":129},"README","The README file is comprehensive, detailing installation, features, architecture, and usage, and clearly states the extension's purpose.",{"category":33,"check":131,"severity":42,"summary":132},"Tool surface size","This is a skill that operates via natural language prompts and does not expose a list of tools or commands.",{"category":40,"check":134,"severity":42,"summary":135},"Overlapping near-synonym tools","This is a skill that operates via natural language prompts, not through distinct, selectable tools with similar names.",{"category":45,"check":137,"severity":24,"summary":138},"Phantom features","All advertised features, such as the specific rules (70/20/10, 3x Kill Rule) and analysis of different platforms, are implemented and detailed within the SKILL.md and README.",{"category":140,"check":141,"severity":24,"summary":142},"Install","Installation instruction","The README provides clear, copy-pasteable installation instructions for multiple methods (plugin, Unix, Windows) and includes example invocations.",{"category":144,"check":145,"severity":24,"summary":146},"Errors","Actionable error messages","The skill's process includes validation steps that would likely halt execution with clear messages and recovery steps for issues like insufficient data.",{"category":104,"check":148,"severity":42,"summary":149},"Pinned dependencies","The skill does not appear to use any third-party dependencies that require pinning.",{"category":33,"check":151,"severity":42,"summary":152},"Dry-run preview","The skill provides analysis and recommendations but does not perform state-changing operations that would require a dry-run mode.",{"category":154,"check":155,"severity":42,"summary":156},"Protocol","Idempotent retry & timeouts","The skill operates locally on provided data and does not involve remote calls or state-changing operations requiring idempotency or timeouts.",{"category":118,"check":158,"severity":24,"summary":159},"Telemetry opt-in","The skill operates locally and does not emit any telemetry.",{"category":40,"check":161,"severity":24,"summary":162},"Precise Purpose","The skill's purpose is precisely defined, covering budget allocation and bidding strategy review for ad platforms, with clear use cases and specific rules.",{"category":40,"check":164,"severity":24,"summary":165},"Concise Frontmatter","The SKILL.md frontmatter is concise, self-contained, and accurately summarizes the core capability with relevant trigger phrases.",{"category":45,"check":167,"severity":24,"summary":168},"Concise Body","The SKILL.md is well-structured and remains concise, delegating detailed frameworks to separate reference files.",{"category":170,"check":171,"severity":24,"summary":172},"Context","Progressive Disclosure","The SKILL.md outlines the overall process and links to separate reference files for detailed frameworks like budget allocation and bidding strategies.",{"category":170,"check":174,"severity":42,"summary":175},"Forked exploration","This skill's workflow is primarily analytical and does not involve deep exploration or code review that would necessitate `context: fork`.",{"category":22,"check":177,"severity":178,"summary":179},"Usage examples","info","While the README details commands and their purpose, explicit, ready-to-use input/output examples for each major capability are not provided.",{"category":22,"check":181,"severity":24,"summary":182},"Edge cases","The skill documents various edge cases and limitations, such as data sufficiency rules for kill/scale decisions and minimum spend requirements.",{"category":111,"check":184,"severity":42,"summary":185},"Tool Fallback","This skill does not rely on external MCP servers or tools that would require fallbacks.",{"category":92,"check":187,"severity":24,"summary":188},"Stack assumptions","The skill relies on the Claude Code environment and Python 3.10+, which are clearly stated as requirements.",{"category":190,"check":191,"severity":24,"summary":192},"Safety","Halt on unexpected state","The skill includes validation steps for data sufficiency and kill list candidates, ensuring it halts and reports on unexpected pre-state conditions.",{"category":92,"check":194,"severity":24,"summary":195},"Cross-skill coupling","The skill operates standalone and does not implicitly rely on other skills. Cross-references are for related projects, not session dependencies.",1778670160874,"This skill analyzes ad budget distribution and bidding strategies across various platforms, applying specific rules and benchmarks to identify campaigns for scaling or pausing. It provides detailed recommendations based on performance data and industry standards.",[199,200,201,202,203],"Evaluates spend distribution, bidding strategy appropriateness, and scaling readiness","Identifies campaigns to kill or scale based on defined rules","Applies 70/20/10 rule, 3x Kill Rule, and 20% scaling rule","Provides platform-specific bidding decision trees and budget sufficiency rules","Generates actionable recommendations and detailed reports",[205,206,207],"Creating ad copy or creatives","Directly managing ad platform accounts or making live changes","Performing technical SEO audits or website performance analysis",[209,210,211,212,213],"Budget Allocation Frameworks","Bidding Strategy Evaluation","Performance Benchmarking","Kill/Scale Strategy","Data Sufficiency Validation",[215,216],"Claude Code CLI","Python 3.10+","3.0.0","4.4.0","To automate and refine ad budget allocation and bidding strategies, ensuring optimal spend distribution and campaign performance across all major ad platforms.","The skill is highly polished and well-documented with excellent production readiness and security practices. A minor area for improvement is the lack of concrete input/output usage examples in the README.",95,"A comprehensive and well-documented skill for optimizing ad budget allocation and bidding strategies across multiple platforms.",[224,225,226,227,228,229],"advertising","marketing","budgeting","optimization","analytics","ppc","global","verified",[233,234,235,236],"When user asks about budget allocation for ad campaigns","When evaluating the appropriateness of current bidding strategies","When determining which ad campaigns to scale up or pause","When optimizing media budgets for better ROAS or CPA targets",{"codeQuality":238,"collectedAt":240,"documentation":241,"maintenance":244,"security":251,"testCoverage":253},{"hasLockfile":239},false,1778670142855,{"descriptionLength":242,"readmeSize":243},357,14902,{"closedIssues90d":245,"forks":246,"hasChangelog":247,"openIssues90d":248,"pushedAt":249,"stars":250},4,755,true,7,1777064907000,4828,{"hasNpmPackage":239,"license":252,"smitheryVerified":239},"MIT",{"hasCi":247,"hasTests":239},{"updatedAt":255},1778670161056,{"basePath":257,"githubOwner":258,"githubRepo":259,"locale":18,"slug":13,"type":260},"skills/ads-budget","AgriciDaniel","claude-ads","skill",{"_creationTime":262,"_id":263,"community":264,"display":265,"identity":269,"parentExtension":272,"providers":303,"relations":316,"tags":317,"workflow":318},1778670051632.8699,"k17faenp6zendr5jm8f4a74qfs86ndtf",{"reviewCount":8},{"description":266,"installMethods":267,"name":268,"sourceUrl":14},"Comprehensive paid advertising audit, optimization, and AI creative generation for Claude Code. 250+ checks across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, and Apple Ads with weighted scoring, parallel agents, industry templates, PPC math, A/B test design, and PDF reports.",{"claudeCode":259},"Claude Ads",{"basePath":270,"githubOwner":258,"githubRepo":259,"locale":18,"slug":259,"type":271},"","plugin",{"_creationTime":273,"_id":274,"community":275,"display":276,"identity":279,"providers":281,"relations":297,"tags":299,"workflow":300},1778670051632.8696,"k17fr93n4ptmabxdcx1dp20pqs86n42b",{"reviewCount":8},{"description":277,"installMethods":278,"name":268,"sourceUrl":14},"Comprehensive paid advertising audit and optimization plugins for Claude Code",{"claudeCode":12},{"basePath":270,"githubOwner":258,"githubRepo":259,"locale":18,"slug":259,"type":280},"marketplace",{"evaluate":282,"extract":290},{"promptVersionExtension":283,"promptVersionScoring":218,"score":284,"tags":285,"targetMarket":230,"tier":231},"3.1.0",97,[224,286,227,225,229,287,288,289],"audit","claude-code","google-ads","meta-ads",{"commitSha":291,"license":252,"marketplace":292,"plugin":295},"HEAD",{"name":293,"pluginCount":294},"agricidaniel-claude-ads",1,{"mcpCount":8,"provider":296,"skillCount":8},"classify",{"repoId":298},"kd7dd1sz3sg1kvn1j4cqdz9zbx86m87c",[224,286,287,288,225,289,227,229],{"evaluatedAt":301,"extractAt":302,"updatedAt":301},1778672370003,1778670051632,{"evaluate":304,"extract":313},{"promptVersionExtension":217,"promptVersionScoring":218,"score":221,"tags":305,"targetMarket":230,"tier":312},[224,229,289,288,306,307,308,309,310,286,311],"tiktok-ads","linkedin-ads","microsoft-ads","apple-ads","creative-generation","strategy","community",{"commitSha":291,"license":252,"plugin":314},{"mcpCount":8,"provider":296,"skillCount":315},2,{"parentExtensionId":274,"repoId":298},[224,309,286,310,288,307,289,308,229,311,306],{"evaluatedAt":319,"extractAt":302,"updatedAt":319},1778672382079,{"evaluate":321,"extract":323},{"promptVersionExtension":217,"promptVersionScoring":218,"score":221,"tags":322,"targetMarket":230,"tier":231},[224,225,226,227,228,229],{"commitSha":291,"license":252},{"parentExtensionId":263,"repoId":298},{"_creationTime":326,"_id":298,"identity":327,"providers":328,"workflow":656},1778670047385.8599,{"githubOwner":258,"githubRepo":259,"sourceUrl":14},{"classify":329,"discover":643,"github":646},{"commitSha":291,"extensions":330},[331,344,411,469,477,485,490,498,506,514,522,530,538,546,554,562,570,578,586,619,627,635],{"basePath":270,"description":277,"displayName":293,"installMethods":332,"rationale":333,"selectedPaths":334,"source":343,"sourceLanguage":18,"type":280},{"claudeCode":12},"marketplace.json at .claude-plugin/marketplace.json",[335,338,340],{"path":336,"priority":337},".claude-plugin/marketplace.json","mandatory",{"path":339,"priority":337},"README.md",{"path":341,"priority":342},"LICENSE","high","rule",{"basePath":270,"description":266,"displayName":259,"installMethods":345,"license":252,"rationale":346,"selectedPaths":347,"source":343,"sourceLanguage":18,"type":271},{"claudeCode":259},"plugin manifest at .claude-plugin/plugin.json",[348,350,351,352,355,357,359,361,363,365,367,369,371,373,375,377,379,381,383,385,387,389,391,393,395,397,399,401,403,405,407,409],{"path":349,"priority":337},".claude-plugin/plugin.json",{"path":339,"priority":337},{"path":341,"priority":342},{"path":353,"priority":354},"skills/ads-apple/SKILL.md","medium",{"path":356,"priority":354},"skills/ads-audit/SKILL.md",{"path":358,"priority":354},"skills/ads-budget/SKILL.md",{"path":360,"priority":354},"skills/ads-competitor/SKILL.md",{"path":362,"priority":354},"skills/ads-create/SKILL.md",{"path":364,"priority":354},"skills/ads-creative/SKILL.md",{"path":366,"priority":354},"skills/ads-dna/SKILL.md",{"path":368,"priority":354},"skills/ads-generate/SKILL.md",{"path":370,"priority":354},"skills/ads-google/SKILL.md",{"path":372,"priority":354},"skills/ads-landing/SKILL.md",{"path":374,"priority":354},"skills/ads-linkedin/SKILL.md",{"path":376,"priority":354},"skills/ads-math/SKILL.md",{"path":378,"priority":354},"skills/ads-meta/SKILL.md",{"path":380,"priority":354},"skills/ads-microsoft/SKILL.md",{"path":382,"priority":354},"skills/ads-photoshoot/SKILL.md",{"path":384,"priority":354},"skills/ads-plan/SKILL.md",{"path":386,"priority":354},"skills/ads-test/SKILL.md",{"path":388,"priority":354},"skills/ads-tiktok/SKILL.md",{"path":390,"priority":354},"skills/ads-youtube/SKILL.md",{"path":392,"priority":342},"agents/audit-budget.md",{"path":394,"priority":342},"agents/audit-compliance.md",{"path":396,"priority":342},"agents/audit-creative.md",{"path":398,"priority":342},"agents/audit-google.md",{"path":400,"priority":342},"agents/audit-meta.md",{"path":402,"priority":342},"agents/audit-tracking.md",{"path":404,"priority":342},"agents/copy-writer.md",{"path":406,"priority":342},"agents/creative-strategist.md",{"path":408,"priority":342},"agents/format-adapter.md",{"path":410,"priority":342},"agents/visual-designer.md",{"basePath":412,"description":413,"displayName":412,"installMethods":414,"rationale":415,"selectedPaths":416,"source":343,"sourceLanguage":18,"type":260},"ads","Multi-platform 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",[417,419,421,423,425,427,429,431,433,435,437,439,441,443,445,447,449,451,453,455,457,459,461,463,465,467],{"path":418,"priority":337},"SKILL.md",{"path":420,"priority":354},"references/additional-platforms.md",{"path":422,"priority":354},"references/benchmarks.md",{"path":424,"priority":354},"references/bidding-strategies.md",{"path":426,"priority":354},"references/brand-dna-template.md",{"path":428,"priority":354},"references/budget-allocation.md",{"path":430,"priority":354},"references/compliance.md",{"path":432,"priority":354},"references/conversion-tracking.md",{"path":434,"priority":354},"references/copy-frameworks.md",{"path":436,"priority":354},"references/gaql-notes.md",{"path":438,"priority":354},"references/google-audit.md",{"path":440,"priority":354},"references/google-creative-specs.md",{"path":442,"priority":354},"references/image-providers.md",{"path":444,"priority":354},"references/linkedin-audit.md",{"path":446,"priority":354},"references/linkedin-creative-specs.md",{"path":448,"priority":354},"references/mcp-integration.md",{"path":450,"priority":354},"references/meta-audit.md",{"path":452,"priority":354},"references/meta-creative-specs.md",{"path":454,"priority":354},"references/microsoft-audit.md",{"path":456,"priority":354},"references/microsoft-creative-specs.md",{"path":458,"priority":354},"references/platform-specs.md",{"path":460,"priority":354},"references/scoring-system.md",{"path":462,"priority":354},"references/tiktok-audit.md",{"path":464,"priority":354},"references/tiktok-creative-specs.md",{"path":466,"priority":354},"references/voice-to-style.md",{"path":468,"priority":354},"references/youtube-creative-specs.md",{"basePath":470,"description":471,"displayName":472,"installMethods":473,"rationale":474,"selectedPaths":475,"source":343,"sourceLanguage":18,"type":260},"skills/ads-apple","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.","ads-apple",{"claudeCode":12},"SKILL.md frontmatter at skills/ads-apple/SKILL.md",[476],{"path":418,"priority":337},{"basePath":478,"description":479,"displayName":480,"installMethods":481,"rationale":482,"selectedPaths":483,"source":343,"sourceLanguage":18,"type":260},"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":418,"priority":337},{"basePath":257,"description":10,"displayName":13,"installMethods":486,"rationale":487,"selectedPaths":488,"source":343,"sourceLanguage":18,"type":260},{"claudeCode":12},"SKILL.md frontmatter at skills/ads-budget/SKILL.md",[489],{"path":418,"priority":337},{"basePath":491,"description":492,"displayName":493,"installMethods":494,"rationale":495,"selectedPaths":496,"source":343,"sourceLanguage":18,"type":260},"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",[497],{"path":418,"priority":337},{"basePath":499,"description":500,"displayName":501,"installMethods":502,"rationale":503,"selectedPaths":504,"source":343,"sourceLanguage":18,"type":260},"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",[505],{"path":418,"priority":337},{"basePath":507,"description":508,"displayName":509,"installMethods":510,"rationale":511,"selectedPaths":512,"source":343,"sourceLanguage":18,"type":260},"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",[513],{"path":418,"priority":337},{"basePath":515,"description":516,"displayName":517,"installMethods":518,"rationale":519,"selectedPaths":520,"source":343,"sourceLanguage":18,"type":260},"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",[521],{"path":418,"priority":337},{"basePath":523,"description":524,"displayName":525,"installMethods":526,"rationale":527,"selectedPaths":528,"source":343,"sourceLanguage":18,"type":260},"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",[529],{"path":418,"priority":337},{"basePath":531,"description":532,"displayName":533,"installMethods":534,"rationale":535,"selectedPaths":536,"source":343,"sourceLanguage":18,"type":260},"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",[537],{"path":418,"priority":337},{"basePath":539,"description":540,"displayName":541,"installMethods":542,"rationale":543,"selectedPaths":544,"source":343,"sourceLanguage":18,"type":260},"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",[545],{"path":418,"priority":337},{"basePath":547,"description":548,"displayName":549,"installMethods":550,"rationale":551,"selectedPaths":552,"source":343,"sourceLanguage":18,"type":260},"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",[553],{"path":418,"priority":337},{"basePath":555,"description":556,"displayName":557,"installMethods":558,"rationale":559,"selectedPaths":560,"source":343,"sourceLanguage":18,"type":260},"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",[561],{"path":418,"priority":337},{"basePath":563,"description":564,"displayName":565,"installMethods":566,"rationale":567,"selectedPaths":568,"source":343,"sourceLanguage":18,"type":260},"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",[569],{"path":418,"priority":337},{"basePath":571,"description":572,"displayName":573,"installMethods":574,"rationale":575,"selectedPaths":576,"source":343,"sourceLanguage":18,"type":260},"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",[577],{"path":418,"priority":337},{"basePath":579,"description":580,"displayName":581,"installMethods":582,"rationale":583,"selectedPaths":584,"source":343,"sourceLanguage":18,"type":260},"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",[585],{"path":418,"priority":337},{"basePath":587,"description":588,"displayName":589,"installMethods":590,"rationale":591,"selectedPaths":592,"source":343,"sourceLanguage":18,"type":260},"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",[593,594,597,599,601,603,605,607,609,611,613,615,617],{"path":418,"priority":337},{"path":595,"priority":596},"assets/agency.md","low",{"path":598,"priority":596},"assets/b2b-enterprise.md",{"path":600,"priority":596},"assets/ecommerce-creative.md",{"path":602,"priority":596},"assets/ecommerce.md",{"path":604,"priority":596},"assets/finance.md",{"path":606,"priority":596},"assets/generic.md",{"path":608,"priority":596},"assets/healthcare.md",{"path":610,"priority":596},"assets/info-products.md",{"path":612,"priority":596},"assets/local-service.md",{"path":614,"priority":596},"assets/mobile-app.md",{"path":616,"priority":596},"assets/real-estate.md",{"path":618,"priority":596},"assets/saas.md",{"basePath":620,"description":621,"displayName":622,"installMethods":623,"rationale":624,"selectedPaths":625,"source":343,"sourceLanguage":18,"type":260},"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",[626],{"path":418,"priority":337},{"basePath":628,"description":629,"displayName":630,"installMethods":631,"rationale":632,"selectedPaths":633,"source":343,"sourceLanguage":18,"type":260},"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",[634],{"path":418,"priority":337},{"basePath":636,"description":637,"displayName":638,"installMethods":639,"rationale":640,"selectedPaths":641,"source":343,"sourceLanguage":18,"type":260},"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",[642],{"path":418,"priority":337},{"sources":644},[645],"manual",{"closedIssues90d":245,"description":647,"forks":246,"homepage":648,"license":252,"openIssues90d":248,"pushedAt":249,"readmeSize":243,"stars":649,"topics":650},"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,[287,651,652,653,654,655],"claude-code-skill","ai-marketing","ai","marketing-automation","open-source",{"classifiedAt":657,"discoverAt":658,"extractAt":659,"githubAt":659,"updatedAt":657},1778672335214,1778670047385,1778672333449,[224,228,226,225,227,229],{"evaluatedAt":255,"extractAt":302,"updatedAt":662},1778672335695,[],[665,694,725,755,775,801],{"_creationTime":666,"_id":667,"community":668,"display":669,"identity":675,"providers":680,"relations":688,"tags":690,"workflow":691},1778685991755.7354,"k170s484eessgyjzgnczc91n5186mbcr",{"reviewCount":8},{"description":670,"installMethods":671,"name":673,"sourceUrl":674},"Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.",{"claudeCode":672},"davila7/claude-code-templates","Competitive Ads Extractor","https://github.com/davila7/claude-code-templates",{"basePath":676,"githubOwner":677,"githubRepo":678,"locale":18,"slug":679,"type":260},"cli-tool/components/skills/business-marketing/competitive-ads-extractor","davila7","claude-code-templates","competitive-ads-extractor",{"evaluate":681,"extract":687},{"promptVersionExtension":217,"promptVersionScoring":218,"score":682,"tags":683,"targetMarket":230,"tier":231},100,[225,684,224,685,686],"competitor-analysis","social-media","data-extraction",{"commitSha":291,"license":252},{"repoId":689},"kd71fzn4s7r0269fkw47wt670n86ndz0",[224,684,686,225,685],{"evaluatedAt":692,"extractAt":693,"updatedAt":692},1778689511404,1778685991755,{"_creationTime":695,"_id":696,"community":697,"display":698,"identity":704,"providers":709,"relations":718,"tags":721,"workflow":722},1778686037155.62,"k171b0gmdtned9xfwa62tb031d86mx06",{"reviewCount":8},{"description":699,"installMethods":700,"name":702,"sourceUrl":703},"Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.",{"claudeCode":701},"deanpeters/Product-Manager-Skills","Acquisition Channel Advisor","https://github.com/deanpeters/Product-Manager-Skills",{"basePath":705,"githubOwner":706,"githubRepo":707,"locale":18,"slug":708,"type":260},"skills/acquisition-channel-advisor","deanpeters","Product-Manager-Skills","acquisition-channel-advisor",{"evaluate":710,"extract":716},{"promptVersionExtension":217,"promptVersionScoring":218,"score":682,"tags":711,"targetMarket":230,"tier":231},[712,713,225,228,714,715],"product-management","acquisition","decision-making","unit-economics",{"commitSha":291,"license":717},"NOASSERTION",{"parentExtensionId":719,"repoId":720},"k17fvvtse56j7y3zaag454yw5986m2q1","kd79w54je3w4zrhk2stxg9246186nbp1",[713,228,714,225,712,715],{"evaluatedAt":723,"extractAt":724,"updatedAt":723},1778687204952,1778686037155,{"_creationTime":726,"_id":727,"community":728,"display":729,"identity":735,"providers":740,"relations":748,"tags":751,"workflow":752},1778675056600.2642,"k17aczx5qdprvyyqzzhkg5epys86nv76",{"reviewCount":8},{"description":730,"installMethods":731,"name":733,"sourceUrl":734},"Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use for analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards.",{"claudeCode":732},"alirezarezvani/claude-skills","Social Media Analyzer","https://github.com/alirezarezvani/claude-skills",{"basePath":736,"githubOwner":737,"githubRepo":738,"locale":18,"slug":739,"type":260},"marketing-skill/skills/social-media-analyzer","alirezarezvani","claude-skills","social-media-analyzer",{"evaluate":741,"extract":747},{"promptVersionExtension":217,"promptVersionScoring":218,"score":682,"tags":742,"targetMarket":230,"tier":231},[685,225,228,743,744,745,746],"performance-tracking","roi","engagement-metrics","benchmarking",{"commitSha":291,"license":252},{"parentExtensionId":749,"repoId":750},"k170sws65f0ebecn36z3q8c2z186m477","kd7ff9s1w43mfyy1n7hf87816186m6px",[228,746,745,225,743,744,685],{"evaluatedAt":753,"extractAt":754,"updatedAt":753},1778685204538,1778675056600,{"_creationTime":756,"_id":757,"community":758,"display":759,"identity":763,"providers":765,"relations":771,"tags":772,"workflow":773},1778675056600.2612,"k170scyj7ff78y4dtyh7wwxa3h86nwzy",{"reviewCount":8},{"description":760,"installMethods":761,"name":762,"sourceUrl":734},"When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ad copy,' 'ad creative,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' or 'audience targeting.' This skill covers campaign strategy, ad creation, audience targeting, and optimization.",{"claudeCode":732},"paid-ads",{"basePath":764,"githubOwner":737,"githubRepo":738,"locale":18,"slug":762,"type":260},"marketing-skill/skills/paid-ads",{"evaluate":766,"extract":770},{"promptVersionExtension":217,"promptVersionScoring":218,"score":767,"tags":768,"targetMarket":230,"tier":231},98,[225,224,288,289,307,229,769],"campaign-strategy",{"commitSha":291},{"parentExtensionId":749,"repoId":750},[224,769,288,307,225,289,229],{"evaluatedAt":774,"extractAt":754,"updatedAt":774},1778684846923,{"_creationTime":776,"_id":777,"community":778,"display":779,"identity":785,"providers":790,"relations":795,"tags":797,"workflow":798},1778684091954.6677,"k1789j12ze7cpsb9mt3kc1hjz986nhbr",{"reviewCount":8},{"description":780,"installMethods":781,"name":783,"sourceUrl":784},"Generate ad copy variations for Google, Meta, and LinkedIn Ads",{"claudeCode":782},"cognyai/claude-code-marketing-skills","Ad Copy Writer","https://github.com/cognyai/claude-code-marketing-skills",{"basePath":786,"githubOwner":787,"githubRepo":788,"locale":18,"slug":789,"type":260},"skills/ad-copy-writer","cognyai","claude-code-marketing-skills","ad-copy-writer",{"evaluate":791,"extract":794},{"promptVersionExtension":217,"promptVersionScoring":218,"score":682,"tags":792,"targetMarket":230,"tier":231},[225,793,224,288,289,307],"copywriting",{"commitSha":291,"license":252},{"repoId":796},"kd7371gwzbdr07nc839hsmagw986nje6",[224,793,288,307,225,289],{"evaluatedAt":799,"extractAt":800,"updatedAt":799},1778684154286,1778684091954,{"_creationTime":802,"_id":803,"community":804,"display":805,"identity":811,"providers":817,"relations":827,"tags":830,"workflow":831},1778699134715.357,"k174n2mwmn4jp9gk557441fakn86n9w1",{"reviewCount":8},{"description":806,"installMethods":807,"name":809,"sourceUrl":810},"Zeitreihenprognose für KI-Agenten. ARIMA- und Holt-Winters-Vorhersagen mit Konfidenzintervallen. Prognostizieren Sie Umsatz, Traffic, Preise oder beliebige sequentielle Daten. Inferenz unter 5 ms.",{"claudeCode":808},"Whatsonyourmind/oraclaw","OraClaw Forecast","https://github.com/Whatsonyourmind/oraclaw",{"basePath":812,"githubOwner":813,"githubRepo":814,"locale":815,"slug":816,"type":260},"mission-control/packages/clawhub-skills/oraclaw-forecast","Whatsonyourmind","oraclaw","de","oraclaw-forecast",{"evaluate":818,"extract":826},{"promptVersionExtension":217,"promptVersionScoring":218,"score":682,"tags":819,"targetMarket":230,"tier":231},[820,821,822,823,824,228,825],"forecasting","time-series","prediction","arima","holt-winters","data-science",{"commitSha":291,"license":252},{"repoId":828,"translatedFrom":829},"kd76fmxm1ng903s4fmj0p7hxxs86ndkg","k17a19x757qjaehqa5jah8k7y986n55p",[228,823,825,820,824,822,821],{"evaluatedAt":832,"extractAt":833,"updatedAt":834},1778698975269,1778698837670,1778699134715]