[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-cognyai-subject-line-lab-de":3,"guides-for-cognyai-subject-line-lab":629,"similar-k17bxqdnxgvm5xagdzpfha03h586m88m-de":630},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":15,"identity":257,"isFallback":263,"parentExtension":264,"providers":265,"relations":271,"repo":273,"tags":626,"workflow":627},1778684091954.675,"k17bxqdnxgvm5xagdzpfha03h586m88m",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":13,"sourceUrl":14},"Mine your actual subject-line history from Klaviyo / Mailchimp / Rule / Get a Newsletter, find the patterns that work for YOUR list, and generate tuned candidates",{"claudeCode":12},"cognyai/claude-code-marketing-skills","Subject Line Lab","https://github.com/cognyai/claude-code-marketing-skills",{"_creationTime":16,"_id":17,"extensionId":5,"locale":18,"result":19,"trustSignals":241,"workflow":255},1778684902262.4343,"kn7a1xnrgx72bqaj6j4ak11v4n86mscq","en",{"checks":20,"evaluatedAt":190,"extensionSummary":191,"features":192,"nonGoals":198,"practices":203,"prerequisites":207,"promptVersionExtension":210,"promptVersionScoring":211,"purpose":212,"rationale":213,"score":214,"summary":215,"tags":216,"targetMarket":224,"tier":225,"useCases":226,"workflow":231},[21,26,29,33,37,41,45,48,52,56,60,63,66,69,73,76,79,83,86,89,93,97,100,104,107,110,113,116,119,122,126,129,133,137,141,144,147,150,154,157,160,163,166,169,172,176,180,183,186],{"category":22,"check":23,"severity":24,"summary":25},"Invocation","Precise Purpose","pass","The description clearly states the extension mines email subject-line history to find patterns and generate candidates, and specifies its use for campaign tuning.",{"category":22,"check":27,"severity":24,"summary":28},"Concise Frontmatter","The frontmatter is concise, clearly stating the core capability and listing platforms and required tools.",{"category":30,"check":31,"severity":24,"summary":32},"Documentation","Concise Body","The SKILL.md body is reasonably concise and outlines a clear process, deferring some details to structured steps.",{"category":34,"check":35,"severity":24,"summary":36},"Context","Progressive Disclosure","The SKILL.md outlines the main flow and then details steps in numbered sections, effectively disclosing information progressively.",{"category":34,"check":38,"severity":39,"summary":40},"Forked exploration","not_applicable","This skill is not an exploration or audit-style skill; it performs analysis and generation, not deep exploration that would necessitate forked context.",{"category":42,"check":43,"severity":24,"summary":44},"Practical Utility","Usage examples","The SKILL.md provides clear examples of invocation with and without a campaign topic, and outlines the expected output format.",{"category":42,"check":46,"severity":24,"summary":47},"Edge cases","The SKILL.md documents potential failure modes, such as small sample sizes or Apple MPP impact, and suggests recovery steps or notes.",{"category":49,"check":50,"severity":24,"summary":51},"Code Execution","Tool Fallback","The SKILL.md lists the required Cogny MCP and provides clear instructions for connecting it, implying a fallback if not connected but not explicitly detailing one.",{"category":53,"check":54,"severity":24,"summary":55},"Safety","Halt on unexpected state","The SKILL.md outlines preconditions for ESP connection and warns about small sample sizes, implying a halt if conditions aren't met.",{"category":57,"check":58,"severity":24,"summary":59},"Portability","Cross-skill coupling","The skill is self-contained and clearly states its prerequisites (Cogny MCP and specific ESPs) without relying on other skills being loaded concurrently.",{"category":42,"check":61,"severity":24,"summary":62},"Problem relevance","The description clearly states the problem of 'A/B testing blind' and offers a solution to find subject-line patterns that work for the user's list.",{"category":42,"check":64,"severity":24,"summary":65},"Unique selling proposition","The skill offers significant value by analyzing actual historical send data to find personalized patterns, going beyond generic advice.",{"category":42,"check":67,"severity":24,"summary":68},"Production readiness","The skill is designed for production use, connecting to real ESPs to analyze historical data and generate campaign-specific subject lines.",{"category":70,"check":71,"severity":24,"summary":72},"Scope","Single responsibility principle","The extension focuses solely on analyzing email subject line performance and generating candidates, adhering to a single responsibility.",{"category":70,"check":74,"severity":24,"summary":75},"Description quality","The displayed description accurately reflects the skill's functionality of analyzing subject-line history and generating tuned candidates.",{"category":22,"check":77,"severity":24,"summary":78},"Scoped tools","The skill uses specific, narrow tools for each ESP (e.g., `mcp__klaviyo__list_campaigns`) rather than a single generalist tool.",{"category":30,"check":80,"severity":81,"summary":82},"Configuration & parameter reference","info","The SKILL.md documents the campaign topic argument and lists prerequisites but does not explicitly detail default values or precedence orders for configuration.",{"category":70,"check":84,"severity":24,"summary":85},"Tool naming","Tool names are descriptive verb-noun pairs within the Cogny namespace (e.g., `mcp__cogny__klaviyo__list_campaigns`).",{"category":70,"check":87,"severity":24,"summary":88},"Minimal I/O surface","Input is a single optional argument for campaign topic; output is structured text and JSON for patterns/candidates, appropriate for the task.",{"category":90,"check":91,"severity":24,"summary":92},"License","License usability","The extension is licensed under MIT, a permissive open-source license.",{"category":94,"check":95,"severity":24,"summary":96},"Maintenance","Commit recency","The last commit was 7 days ago, indicating active maintenance.",{"category":94,"check":98,"severity":39,"summary":99},"Dependency Management","The skill has no third-party dependencies beyond the Cogny MCP.",{"category":101,"check":102,"severity":39,"summary":103},"Security","Secret Management","The skill does not directly handle secrets; it relies on the Cogny MCP for authenticated access to ESPs.",{"category":101,"check":105,"severity":24,"summary":106},"Injection","The skill's logic focuses on data analysis and pattern extraction from ESPs, not executing arbitrary code or instructions from external sources.",{"category":101,"check":108,"severity":24,"summary":109},"Transitive Supply-Chain Grenades","The skill operates on data retrieved from connected ESPs via MCP tools; it does not fetch or execute arbitrary remote code.",{"category":101,"check":111,"severity":24,"summary":112},"Sandbox Isolation","The skill uses MCP tools and standard text processing; it does not interact with the file system or perform operations outside its defined scope.",{"category":101,"check":114,"severity":24,"summary":115},"Sandbox escape primitives","No detached process spawns or retry loops around denied calls are present in the skill's logic.",{"category":101,"check":117,"severity":24,"summary":118},"Data Exfiltration","The skill analyzes historical email data and generates subject lines; it does not exfiltrate confidential data to third parties.",{"category":101,"check":120,"severity":24,"summary":121},"Hidden Text Tricks","The SKILL.md and surrounding documentation do not contain hidden text tricks or malicious steering instructions.",{"category":123,"check":124,"severity":24,"summary":125},"Hooks","Opaque code execution","The skill's logic is described in plain text and relies on defined MCP tools; there is no obfuscated code or runtime execution.",{"category":57,"check":127,"severity":24,"summary":128},"Structural Assumption","The skill assumes a connection to an ESP via Cogny MCP but does not make assumptions about the user's local project file structure.",{"category":130,"check":131,"severity":24,"summary":132},"Trust","Issues Attention","There are 0 open and 0 closed issues in the last 90 days, indicating low recent activity but no outstanding concerns.",{"category":134,"check":135,"severity":24,"summary":136},"Versioning","Release Management","A version ('1.0.0') is declared in the SKILL.md frontmatter.",{"category":138,"check":139,"severity":81,"summary":140},"Execution","Validation","The `argument-hint` suggests a string input for campaign topic, but formal schema validation is not explicitly detailed in the SKILL.md.",{"category":101,"check":142,"severity":24,"summary":143},"Unguarded Destructive Operations","The skill is analytical and generative; it does not perform any destructive operations.",{"category":49,"check":145,"severity":24,"summary":146},"Error Handling","The SKILL.md details specific error conditions like disconnected ESPs and small sample sizes, with recommended actions or warnings.",{"category":49,"check":148,"severity":39,"summary":149},"Logging","The skill does not perform destructive actions or outbound calls that would necessitate a local audit log.",{"category":151,"check":152,"severity":81,"summary":153},"Compliance","GDPR","The skill processes email history which may contain personal data; it does not explicitly sanitize this data before LLM processing.",{"category":151,"check":155,"severity":24,"summary":156},"Target market","The skill is globally applicable as it connects to various ESPs and analyzes general email marketing patterns.",{"category":57,"check":158,"severity":24,"summary":159},"Runtime stability","The skill relies on Cogny MCP and standard ESP APIs, making it portable across environments where these are accessible.",{"category":30,"check":161,"severity":24,"summary":162},"README","The README provides a clear overview, installation instructions, and details on free vs. premium skills.",{"category":70,"check":164,"severity":24,"summary":165},"Tool surface size","The skill utilizes a focused set of tools related to specific ESPs and Cogny MCP utilities, well within the target range.",{"category":22,"check":167,"severity":24,"summary":168},"Overlapping near-synonym tools","The skill uses distinct tools for different ESPs and actions, avoiding near-synonym redundancy.",{"category":30,"check":170,"severity":24,"summary":171},"Phantom features","All advertised features, such as analyzing historical sends and generating candidates, are supported by the described tool usage and logic.",{"category":173,"check":174,"severity":24,"summary":175},"Install","Installation instruction","The README provides clear bash installation instructions and mentions the Cogny MCP requirement with a link to sign up.",{"category":177,"check":178,"severity":24,"summary":179},"Errors","Actionable error messages","The SKILL.md outlines specific error conditions (e.g., disconnected ESP, small sample size) with clear explanations and recommended actions.",{"category":138,"check":181,"severity":39,"summary":182},"Pinned dependencies","The skill does not bundle scripts with external dependencies that require pinning.",{"category":70,"check":184,"severity":39,"summary":185},"Dry-run preview","The skill is analytical and generative; it does not perform state-changing operations that would require a dry-run mode.",{"category":187,"check":188,"severity":39,"summary":189},"Protocol","Idempotent retry & timeouts","The skill relies on MCP tools for data retrieval and does not perform state-changing operations or remote calls directly.",1778684902139,"This skill connects to email service providers (Klaviyo, Mailchimp, Rule, Get a Newsletter) via Cogny MCP to analyze historical campaign send data. It identifies patterns in subject lines that correlate with open rates and generates new subject line candidates optimized for the user's list.",[193,194,195,196,197],"Mines historical subject line data from connected ESPs","Analyzes patterns correlated with open rates","Generates tuned subject line candidates","Identifies winning and dragging subject line features","Provides a pre-send QA recommendation",[199,200,201,202],"Generating email body copy","Connecting to email service providers directly without Cogny MCP","Performing A/B testing of subject lines","Analyzing transactional emails or automated flows",[204,205,206],"Data analysis","Email marketing","Pattern recognition",[208,209],"Cogny MCP","Connected ESP (Klaviyo, Mailchimp, Rule, or Get a Newsletter)","3.0.0","4.4.0","To help marketers improve email open rates by leveraging data-driven insights from their own historical subject line performance.","The skill demonstrates high quality across all categories. It has precise purpose, excellent documentation, and a clear, focused scope. Dependencies are managed, security is sound, and usability is high. The only minor point is the lack of explicit schema validation for the single argument.",96,"A high-quality skill for analyzing email subject line performance and generating tailored candidates.",[217,218,219,220,221,222,223],"email","marketing","analytics","subject-line","esp","klaviyo","mailchimp","global","verified",[227,228,229,230],"When planning a new email campaign and needing subject line ideas","To optimize subject lines for a specific campaign topic","To understand what types of subject lines historically perform best on your list","To reduce manual A/B testing of subject lines by generating data-backed options",[232,233,234,235,236,237,238,239,240],"Detect connected ESP","Pull last 100 campaign sends","Compute baseline metrics","Extract subject-line features","Compute lift per feature","Identify winning and dragging patterns","Generate tuned subject line candidates","Save patterns to context","Create actionable findings (optional)",{"codeQuality":242,"collectedAt":244,"documentation":245,"maintenance":248,"security":253,"testCoverage":254},{"hasLockfile":243},false,1778684878810,{"descriptionLength":246,"readmeSize":247},162,8489,{"closedIssues90d":8,"forks":249,"hasChangelog":243,"manifestVersion":250,"openIssues90d":8,"pushedAt":251,"stars":252},5,"1.0.0",1778187473000,47,{"hasNpmPackage":243,"smitheryVerified":243},{"hasCi":243,"hasTests":243},{"updatedAt":256},1778684902262,{"basePath":258,"githubOwner":259,"githubRepo":260,"locale":18,"slug":261,"type":262},"skills/subject-line-lab","cognyai","claude-code-marketing-skills","subject-line-lab","skill",true,null,{"evaluate":266,"extract":268},{"promptVersionExtension":210,"promptVersionScoring":211,"score":214,"tags":267,"targetMarket":224,"tier":225},[217,218,219,220,221,222,223],{"commitSha":269,"license":270},"HEAD","MIT",{"repoId":272},"kd7371gwzbdr07nc839hsmagw986nje6",{"_creationTime":274,"_id":272,"identity":275,"providers":276,"workflow":622},1778684086122.7996,{"githubOwner":259,"githubRepo":260,"sourceUrl":14},{"classify":277,"discover":602,"github":605},{"commitSha":269,"extensions":278},[279,290,298,306,317,325,333,341,349,357,365,373,381,389,397,405,413,421,429,437,445,453,461,473,481,489,497,505,515,523,531,539,547,552,562,570,578,586,594],{"basePath":280,"description":281,"displayName":282,"installMethods":283,"rationale":284,"selectedPaths":285,"source":289,"sourceLanguage":18,"type":262},"skill-pipeline/google-ads-audit","Deep Google Ads account audit — keywords, quality scores, budget pacing, search terms","google-ads-audit",{"claudeCode":12},"SKILL.md frontmatter at skill-pipeline/google-ads-audit/SKILL.md",[286],{"path":287,"priority":288},"SKILL.md","mandatory","rule",{"basePath":291,"description":292,"displayName":293,"installMethods":294,"rationale":295,"selectedPaths":296,"source":289,"sourceLanguage":18,"type":262},"skill-pipeline/meta-ads-audit","Meta Ads audit — audience analysis, creative fatigue, budget pacing, lead quality","meta-ads-audit",{"claudeCode":12},"SKILL.md frontmatter at skill-pipeline/meta-ads-audit/SKILL.md",[297],{"path":287,"priority":288},{"basePath":299,"description":300,"displayName":301,"installMethods":302,"rationale":303,"selectedPaths":304,"source":289,"sourceLanguage":18,"type":262},"skills/ad-copy-writer","Generate ad copy variations for Google, Meta, and LinkedIn Ads","ad-copy-writer",{"claudeCode":12},"SKILL.md frontmatter at skills/ad-copy-writer/SKILL.md",[305],{"path":287,"priority":288},{"basePath":307,"description":308,"displayName":309,"installMethods":310,"rationale":311,"selectedPaths":312,"source":289,"sourceLanguage":18,"type":262},"skills/brand-kit","Build a portable brand-kit.json for the user's product — colors, typography, voice — that other skills (video, ad creative, landing page) can consume. 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Caption-first, sound-off, B2B register, anti-corporate-jargon. Optionally hand off to LinkedIn Ads to launch as a sponsored content campaign with ICP-aligned targeting.","linkedin-launch-video",{"claudeCode":12},"SKILL.md frontmatter at skills/linkedin-launch-video/SKILL.md",[468,469,471],{"path":287,"priority":288},{"path":470,"priority":316},"references/brand-identity.md",{"path":472,"priority":316},"references/composition-template.html",{"basePath":474,"description":475,"displayName":476,"installMethods":477,"rationale":478,"selectedPaths":479,"source":289,"sourceLanguage":18,"type":262},"skills/linkedin-micro-campaigns","Create precision-targeted LinkedIn ad campaigns for specific ICP segments — translates CRM data to LinkedIn targeting","linkedin-micro-campaigns",{"claudeCode":12},"SKILL.md frontmatter at skills/linkedin-micro-campaigns/SKILL.md",[480],{"path":287,"priority":288},{"basePath":482,"description":483,"displayName":484,"installMethods":485,"rationale":486,"selectedPaths":487,"source":289,"sourceLanguage":18,"type":262},"skills/meta-capi","Meta Conversions API (CAPI) Setup Reference — architecture, event types, customer information hashing, deduplication, implementation examples, AEM, and testing","meta-capi",{"claudeCode":12},"SKILL.md frontmatter at skills/meta-capi/SKILL.md",[488],{"path":287,"priority":288},{"basePath":490,"description":491,"displayName":492,"installMethods":493,"rationale":494,"selectedPaths":495,"source":289,"sourceLanguage":18,"type":262},"skills/non-commodity-content","Interview the user for specific client stories, anecdotes, refusals, and real numbers — then turn them into non-commodity SEO content Google actually wants to rank. Kills generic listicle output at the source.","non-commodity-content",{"claudeCode":12},"SKILL.md frontmatter at skills/non-commodity-content/SKILL.md",[496],{"path":287,"priority":288},{"basePath":498,"description":499,"displayName":500,"installMethods":501,"rationale":502,"selectedPaths":503,"source":289,"sourceLanguage":18,"type":262},"skills/pre-send-qa","Pre-flight QA for an email campaign — merge tags, broken links, spam triggers, compliance, mobile rendering — before you hit send","pre-send-qa",{"claudeCode":12},"SKILL.md frontmatter at skills/pre-send-qa/SKILL.md",[504],{"path":287,"priority":288},{"basePath":506,"description":507,"displayName":508,"installMethods":509,"rationale":510,"selectedPaths":511,"source":289,"sourceLanguage":18,"type":262},"skills/reddit-launch-video","Produce a Reddit-native 1:1 or 4:5 launch video using HyperFrames. Idiomatic Reddit feel — text-first, low-polish, sound-off, subreddit-aware. Optionally hand off to Reddit Ads to launch as a promoted post targeted to specific subreddits.","reddit-launch-video",{"claudeCode":12},"SKILL.md frontmatter at skills/reddit-launch-video/SKILL.md",[512,513,514],{"path":287,"priority":288},{"path":470,"priority":316},{"path":472,"priority":316},{"basePath":516,"description":517,"displayName":518,"installMethods":519,"rationale":520,"selectedPaths":521,"source":289,"sourceLanguage":18,"type":262},"skills/revenue-audit","Audit an email marketing program for revenue leaks — missing flows, dormant high-value subscribers, under-segmentation, promo gaps, stale automations — ranked by estimated $ impact","revenue-audit",{"claudeCode":12},"SKILL.md frontmatter at skills/revenue-audit/SKILL.md",[522],{"path":287,"priority":288},{"basePath":524,"description":525,"displayName":526,"installMethods":527,"rationale":528,"selectedPaths":529,"source":289,"sourceLanguage":18,"type":262},"skills/seo-audit","Full technical + content SEO analysis — uses live Search Console + Bing data when connected","seo-audit",{"claudeCode":12},"SKILL.md frontmatter at skills/seo-audit/SKILL.md",[530],{"path":287,"priority":288},{"basePath":532,"description":533,"displayName":534,"installMethods":535,"rationale":536,"selectedPaths":537,"source":289,"sourceLanguage":18,"type":262},"skills/seo-monitor","Monitor SEO rankings, queries, and indexing via Search Console MCP","seo-monitor",{"claudeCode":12},"SKILL.md frontmatter at skills/seo-monitor/SKILL.md",[538],{"path":287,"priority":288},{"basePath":540,"description":541,"displayName":542,"installMethods":543,"rationale":544,"selectedPaths":545,"source":289,"sourceLanguage":18,"type":262},"skills/structured-data","Schema.org Structured Data Reference — JSON-LD examples for every major schema type, rich results eligibility, testing tools, and implementation patterns","structured-data",{"claudeCode":12},"SKILL.md frontmatter at skills/structured-data/SKILL.md",[546],{"path":287,"priority":288},{"basePath":258,"description":10,"displayName":261,"installMethods":548,"rationale":549,"selectedPaths":550,"source":289,"sourceLanguage":18,"type":262},{"claudeCode":12},"SKILL.md frontmatter at skills/subject-line-lab/SKILL.md",[551],{"path":287,"priority":288},{"basePath":553,"description":554,"displayName":555,"installMethods":556,"rationale":557,"selectedPaths":558,"source":289,"sourceLanguage":18,"type":262},"skills/tiktok-launch-video","Produce a 9:16 TikTok-native launch video for a product, feature, or campaign using HyperFrames. Idiomatic TikTok pacing, burned-in captions, hook-in-1s structure. Optionally hand off to TikTok Ads to launch as a Spark/in-feed ad.","tiktok-launch-video",{"claudeCode":12},"SKILL.md frontmatter at skills/tiktok-launch-video/SKILL.md",[559,560,561],{"path":287,"priority":288},{"path":470,"priority":316},{"path":472,"priority":316},{"basePath":563,"description":564,"displayName":565,"installMethods":566,"rationale":567,"selectedPaths":568,"source":289,"sourceLanguage":18,"type":262},"skills/utm-builder","UTM Parameter Strategy & Builder — naming conventions, GA4 channel grouping rules, auto-tagging, common mistakes, and BigQuery validation queries","utm-builder",{"claudeCode":12},"SKILL.md frontmatter at skills/utm-builder/SKILL.md",[569],{"path":287,"priority":288},{"basePath":571,"description":572,"displayName":573,"installMethods":574,"rationale":575,"selectedPaths":576,"source":289,"sourceLanguage":18,"type":262},"skills/video-to-gif","Convert an MP4 (e.g. a HyperFrames render or a screen recording) to a high-quality GIF using FFmpeg's two-pass palette method. Picks the right preset for the target surface — Slack/DMs/Twitter/email/Reddit/GitHub — so you don't ship a 40MB GIF to a 5MB inbox.","video-to-gif",{"claudeCode":12},"SKILL.md frontmatter at skills/video-to-gif/SKILL.md",[577],{"path":287,"priority":288},{"basePath":579,"description":580,"displayName":581,"installMethods":582,"rationale":583,"selectedPaths":584,"source":289,"sourceLanguage":18,"type":262},"skills/website-migration-audit","Compare a production site against a staging/redesign version — SEO parity, content integrity, missing pages, and launch readiness","website-migration-audit",{"claudeCode":12},"SKILL.md frontmatter at skills/website-migration-audit/SKILL.md",[585],{"path":287,"priority":288},{"basePath":587,"description":588,"displayName":589,"installMethods":590,"rationale":591,"selectedPaths":592,"source":289,"sourceLanguage":18,"type":262},"skills/welcome-series","Generate a full 5-email welcome series from a brand URL — subjects, preheaders, bodies, and send timing, ready to paste into any ESP","welcome-series",{"claudeCode":12},"SKILL.md frontmatter at skills/welcome-series/SKILL.md",[593],{"path":287,"priority":288},{"basePath":595,"description":596,"displayName":597,"installMethods":598,"rationale":599,"selectedPaths":600,"source":289,"sourceLanguage":18,"type":262},"skills/winback-engine","Find dormant subscribers, segment by historical value, draft personalized winback emails per tier, and identify suppression candidates","winback-engine",{"claudeCode":12},"SKILL.md frontmatter at skills/winback-engine/SKILL.md",[601],{"path":287,"priority":288},{"sources":603},[604],"manual",{"closedIssues90d":8,"description":606,"forks":249,"homepage":607,"openIssues90d":8,"pushedAt":251,"readmeSize":247,"stars":252,"topics":608},"Marketing skills for Claude Code — SEO audits and implementation, ad analysis, ad optimization. Free skills need no account. $9/mo for live Search Console, Bing & LinkedIn data.","https://cogny.com",[609,610,611,612,613,614,615,616,617,218,618,619,620,621],"agent-skills","ai-agents","claude-code","claude-skills","cluade-mcp","cursor","geo","growth-hacking","llm","mcp","seo","vibe","windsurf",{"classifiedAt":623,"discoverAt":624,"extractAt":625,"githubAt":625,"updatedAt":623},1778684091751,1778684086122,1778684089811,[219,217,221,222,223,218,220],{"evaluatedAt":256,"extractAt":628,"updatedAt":256},1778684091954,[],[631,663,693,714,748,776],{"_creationTime":632,"_id":633,"community":634,"display":635,"identity":641,"providers":646,"relations":656,"tags":659,"workflow":660},1778686037155.62,"k171b0gmdtned9xfwa62tb031d86mx06",{"reviewCount":8},{"description":636,"installMethods":637,"name":639,"sourceUrl":640},"Evaluate acquisition channels using unit economics, customer quality, and scalability. Use when deciding whether to scale, test, or kill a growth channel.",{"claudeCode":638},"deanpeters/Product-Manager-Skills","Acquisition Channel Advisor","https://github.com/deanpeters/Product-Manager-Skills",{"basePath":642,"githubOwner":643,"githubRepo":644,"locale":18,"slug":645,"type":262},"skills/acquisition-channel-advisor","deanpeters","Product-Manager-Skills","acquisition-channel-advisor",{"evaluate":647,"extract":654},{"promptVersionExtension":210,"promptVersionScoring":211,"score":648,"tags":649,"targetMarket":224,"tier":225},100,[650,651,218,219,652,653],"product-management","acquisition","decision-making","unit-economics",{"commitSha":269,"license":655},"NOASSERTION",{"parentExtensionId":657,"repoId":658},"k17fvvtse56j7y3zaag454yw5986m2q1","kd79w54je3w4zrhk2stxg9246186nbp1",[651,219,652,218,650,653],{"evaluatedAt":661,"extractAt":662,"updatedAt":661},1778687204952,1778686037155,{"_creationTime":664,"_id":665,"community":666,"display":667,"identity":673,"providers":677,"relations":686,"tags":689,"workflow":690},1778675056600.2642,"k17aczx5qdprvyyqzzhkg5epys86nv76",{"reviewCount":8},{"description":668,"installMethods":669,"name":671,"sourceUrl":672},"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":670},"alirezarezvani/claude-skills","Social Media Analyzer","https://github.com/alirezarezvani/claude-skills",{"basePath":674,"githubOwner":675,"githubRepo":612,"locale":18,"slug":676,"type":262},"marketing-skill/skills/social-media-analyzer","alirezarezvani","social-media-analyzer",{"evaluate":678,"extract":685},{"promptVersionExtension":210,"promptVersionScoring":211,"score":648,"tags":679,"targetMarket":224,"tier":225},[680,218,219,681,682,683,684],"social-media","performance-tracking","roi","engagement-metrics","benchmarking",{"commitSha":269,"license":270},{"parentExtensionId":687,"repoId":688},"k170sws65f0ebecn36z3q8c2z186m477","kd7ff9s1w43mfyy1n7hf87816186m6px",[219,684,683,218,681,682,680],{"evaluatedAt":691,"extractAt":692,"updatedAt":691},1778685204538,1778675056600,{"_creationTime":694,"_id":695,"community":696,"display":697,"identity":699,"providers":700,"relations":710,"tags":711,"workflow":712},1778684091954.674,"k172a912w90gj3qxj6kxkjpba986mepd",{"reviewCount":8},{"description":517,"installMethods":698,"name":518,"sourceUrl":14},{"claudeCode":12},{"basePath":516,"githubOwner":259,"githubRepo":260,"locale":18,"slug":518,"type":262},{"evaluate":701,"extract":709},{"promptVersionExtension":210,"promptVersionScoring":211,"score":702,"tags":703,"targetMarket":224,"tier":225},85,[704,705,706,222,223,707,708],"email-marketing","revenue-optimization","audit","reporting","automation",{"commitSha":269},{"repoId":272},[706,708,704,222,223,707,705],{"evaluatedAt":713,"extractAt":628,"updatedAt":713},1778684811722,{"_creationTime":715,"_id":716,"community":717,"display":718,"identity":724,"providers":730,"relations":740,"tags":743,"workflow":744},1778699134715.357,"k174n2mwmn4jp9gk557441fakn86n9w1",{"reviewCount":8},{"description":719,"installMethods":720,"name":722,"sourceUrl":723},"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":721},"Whatsonyourmind/oraclaw","OraClaw Forecast","https://github.com/Whatsonyourmind/oraclaw",{"basePath":725,"githubOwner":726,"githubRepo":727,"locale":728,"slug":729,"type":262},"mission-control/packages/clawhub-skills/oraclaw-forecast","Whatsonyourmind","oraclaw","de","oraclaw-forecast",{"evaluate":731,"extract":739},{"promptVersionExtension":210,"promptVersionScoring":211,"score":648,"tags":732,"targetMarket":224,"tier":225},[733,734,735,736,737,219,738],"forecasting","time-series","prediction","arima","holt-winters","data-science",{"commitSha":269,"license":270},{"repoId":741,"translatedFrom":742},"kd76fmxm1ng903s4fmj0p7hxxs86ndkg","k17a19x757qjaehqa5jah8k7y986n55p",[219,736,738,733,737,735,734],{"evaluatedAt":745,"extractAt":746,"updatedAt":747},1778698975269,1778698837670,1778699134715,{"_creationTime":749,"_id":750,"community":751,"display":752,"identity":758,"providers":762,"relations":769,"tags":772,"workflow":773},1778695720086.77,"k17dem9k6ck7j5dvtc629g0cdh86np6g",{"reviewCount":8},{"description":753,"installMethods":754,"name":756,"sourceUrl":757},"Specifies requirements for an analytics dashboard including metrics, visualizations, filters, and data sources. Use when requesting dashboards from data teams, defining KPI tracking, or documenting reporting needs.",{"claudeCode":755},"product-on-purpose/pm-skills","measure-dashboard-requirements","https://github.com/product-on-purpose/pm-skills",{"basePath":759,"githubOwner":760,"githubRepo":761,"locale":18,"slug":756,"type":262},"skills/measure-dashboard-requirements","product-on-purpose","pm-skills",{"evaluate":763,"extract":768},{"promptVersionExtension":210,"promptVersionScoring":211,"score":648,"tags":764,"targetMarket":224,"tier":225},[219,765,766,650,767],"dashboard","requirements","data-visualization",{"commitSha":269},{"parentExtensionId":770,"repoId":771},"k1721116hsfj7zg78w03432n8986n6y8","kd78ksv1wjj826ds5j1sh2kqnx86mhqf",[219,765,767,650,766],{"evaluatedAt":774,"extractAt":775,"updatedAt":774},1778696393987,1778695720086,{"_creationTime":777,"_id":778,"community":779,"display":780,"identity":786,"providers":790,"relations":798,"tags":800,"workflow":801},1778694240519.7402,"k172jnxq28h65x6zn1p19r731586md2x",{"reviewCount":8},{"description":781,"installMethods":782,"name":784,"sourceUrl":785},"Track skill performance and emerging patterns",{"claudeCode":783},"mshadmanrahman/pm-pilot","meta-observer","https://github.com/mshadmanrahman/pm-pilot",{"basePath":787,"githubOwner":788,"githubRepo":789,"locale":18,"slug":784,"type":262},"skills/productivity/meta-observer","mshadmanrahman","pm-pilot",{"evaluate":791,"extract":797},{"promptVersionExtension":210,"promptVersionScoring":211,"score":648,"tags":792,"targetMarket":224,"tier":225},[793,219,794,795,796],"monitoring","productivity","logging","skills",{"commitSha":269},{"repoId":799},"kd728wqst6vwd95ymycxb97nrx86mnsn",[219,795,793,794,796],{"evaluatedAt":802,"extractAt":803,"updatedAt":802},1778694605108,1778694240519]