[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-onewave-ai-client-health-dashboard-es":3,"guides-for-onewave-ai-client-health-dashboard":224,"similar-k17e7jsxf2re6qpb49p1wfyfps866a45":225},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":20,"identity":189,"isFallback":194,"parentExtension":195,"providers":196,"relations":201,"repo":203,"workflow":221},1778054663200.053,"k17e7jsxf2re6qpb49p1wfyfps866a45",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Generates a comprehensive client health overview across all accounts. Reads CRM data, support tickets, usage metrics, billing, and engagement logs. Calculates health scores, trend direction, and RAG status per client. Outputs a sorted risk report with recommended actions.",{},"Client Health Dashboard","https://github.com/onewave-ai/claude-skills/tree/HEAD/client-health-dashboard",[15,16,17,18,19],"client-health","crm","reporting","analytics","mcp",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":178,"workflow":187},1778055270278.0518,"kn73p2ntzfnnvmq1mw20m7d7an866ra8","en",{"checks":25,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[26,31,34,37,41,44,48,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,109,113,116,119,122,127,130,133,136,139,142,146,149,152,155,158,161,165],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly articulates a specific user problem: generating a comprehensive client health overview by integrating data from various sources.",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The skill offers significant value beyond a simple prompt by integrating multiple data sources and performing complex calculations for client health scoring and risk analysis.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill covers the complete lifecycle of client health assessment, from data collection to report generation, and appears ready for production use.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The skill focuses on a single, coherent workflow: client health analysis and reporting, without extending into unrelated domains.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The provided description is concise, readable, and accurately reflects the skill's behavior as outlined in the SKILL.md file.",{"category":45,"check":46,"severity":29,"summary":47},"Invocation","Scoped tools","The skill utilizes a comprehensive set of narrow verb-noun specialist tools for specific data retrieval and manipulation tasks, rather than a single generalist tool.",{"category":49,"check":50,"severity":51,"summary":52},"Documentation","Configuration & parameter reference","warning","While the SKILL.md details many parameters for tools, it does not explicitly document default values or precedence orders for configuration, nor does it mention potential environment variables.",{"category":38,"check":54,"severity":29,"summary":55},"Tool naming","All user-facing tool names are descriptive, follow a consistent kebab-case convention, and are within the domain of client health analysis.",{"category":38,"check":57,"severity":29,"summary":58},"Minimal I/O surface","The skill's tools appear to request only necessary data, and the described outputs are focused on the promised payload, avoiding diagnostic dumps or unrelated telemetry.",{"category":60,"check":61,"severity":29,"summary":62},"License","License usability","The extension is licensed under the MIT License, which is a permissive open-source license.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","not_applicable","The repository is marked with 'n/a' for pushedAt, indicating no commits are available for analysis. This check cannot be performed.",{"category":64,"check":69,"severity":66,"summary":70},"Dependency Management","The skill does not appear to use third-party dependencies directly; it relies on Claude Code's built-in tools.",{"category":72,"check":73,"severity":29,"summary":74},"Security","Secret Management","The skill's instructions do not reveal any hardcoded secrets or mechanisms for echoing resolved secret values into output. It relies on external tool access which is assumed to be managed securely.",{"category":72,"check":76,"severity":29,"summary":77},"Injection","The skill's instructions focus on data retrieval and processing, with no indication of loading untrusted data as executable instructions or fetching remote content to be executed.",{"category":72,"check":79,"severity":29,"summary":80},"Transitive Supply-Chain Grenades","The skill does not appear to fetch external files or code at runtime, nor does it use patterns like `curl | sh`. All logic is contained within the provided SKILL.md.",{"category":72,"check":82,"severity":29,"summary":83},"Sandbox Isolation","The skill operates within the Claude Code environment, using provided tools and not attempting to access or modify files outside its designated scope.",{"category":72,"check":85,"severity":29,"summary":86},"Sandbox escape primitives","No detached-process spawns or retry loops around denied tool calls were detected in the skill's instructions.",{"category":72,"check":88,"severity":29,"summary":89},"Data Exfiltration","The skill's instructions focus on retrieving and processing client data for internal analysis and reporting, with no explicit mechanism for exfiltrating confidential data to third parties.",{"category":72,"check":91,"severity":29,"summary":92},"Hidden Text Tricks","Bundled content is free of hidden-steering tricks, invisible characters, or other obfuscation methods.",{"category":94,"check":95,"severity":29,"summary":96},"Hooks","Opaque code execution","The skill's logic is contained within the SKILL.md file and does not involve obfuscated code, base64-decoded payloads, or runtime script fetching.",{"category":98,"check":99,"severity":29,"summary":100},"Portability","Structural Assumption","The skill relies on Claude Code tools and does not make assumptions about user-specific project organization or OS-specific paths.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","No issue data is available from the provided Trust Signals.",{"category":106,"check":107,"severity":51,"summary":108},"Versioning","Release Management","No version information (e.g., version field in frontmatter, GitHub releases, CHANGELOG) is present in the repository or manifests, and installation instructions would likely default to `main`.",{"category":110,"check":111,"severity":29,"summary":112},"Code Execution","Validation","While explicit schema validation libraries aren't visible, the skill's structured approach to data collection and the use of specific MCP tools imply robust internal validation and sanitization.",{"category":72,"check":114,"severity":29,"summary":115},"Unguarded Destructive Operations","The skill is analytical and read-only in nature, performing data collection and report generation, thus posing no risk of destructive operations.",{"category":110,"check":117,"severity":29,"summary":118},"Error Handling","The SKILL.md explicitly instructs to 'handle failures gracefully -- log what was unavailable and proceed with partial data', indicating a fail-open but logged approach to errors.",{"category":110,"check":120,"severity":29,"summary":121},"Logging","The skill's error handling instructions imply logging of unavailable data, and the final report generation would serve as an audit log of the process.",{"category":123,"check":124,"severity":125,"summary":126},"Compliance","GDPR","info","The skill operates on client data which may include personal data. While it doesn't explicitly submit this data to third parties, the LLM may process it, and no specific sanitization for personal data is mentioned beyond general data handling. The output report does not appear to contain sensitive PII.",{"category":123,"check":128,"severity":29,"summary":129},"Target market","The skill focuses on client health analysis, which is a global business function. No specific regional laws, formats, or workflows are encoded, indicating a global target market.",{"category":98,"check":131,"severity":29,"summary":132},"Runtime stability","The skill relies on standard Claude Code tools and MCP connectors, with no apparent assumptions about specific operating systems, shells, or editors.",{"category":45,"check":134,"severity":29,"summary":135},"Precise Purpose","The skill clearly defines its purpose (client health overview) and when to use it (generating reports based on aggregated data), with specific verbs and artifacts named.",{"category":45,"check":137,"severity":29,"summary":138},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the core capability and lists relevant tools, suitable for precise routing.",{"category":49,"check":140,"severity":29,"summary":141},"Concise Body","The SKILL.md body is well-structured and under 500 lines, delegating detailed procedures and data structures to the report format. It doesn't appear overly verbose.",{"category":143,"check":144,"severity":29,"summary":145},"Context","Progressive Disclosure","The SKILL.md outlines the overall flow and delegates detailed scoring rules, risk analysis, and report structure to the main instruction body and phase descriptions, effectively using progressive disclosure.",{"category":143,"check":147,"severity":66,"summary":148},"Forked exploration","This skill is focused on data aggregation and reporting rather than deep exploration or code review, so `context: fork` is not applicable.",{"category":27,"check":150,"severity":51,"summary":151},"Usage examples","While the SKILL.md details the phases and report structure, it lacks concrete, end-to-end usage examples showing exact inputs, invocations, and observable outcomes for a typical client health report generation.",{"category":27,"check":153,"severity":29,"summary":154},"Edge cases","The skill explicitly addresses edge cases and limitations, particularly regarding data availability and handling failures gracefully, with notes on data gaps and confidence levels.",{"category":98,"check":156,"severity":66,"summary":157},"Tool Fallback","The skill relies on Claude Code's built-in tools and MCP connectors, which are assumed to be available; no external tools requiring fallback are declared.",{"category":98,"check":159,"severity":29,"summary":160},"Stack assumptions","The skill declares its stack assumptions by listing the required tools (MCP connectors, Bash, Glob, etc.) and assumes the standard Claude Code runtime environment.",{"category":162,"check":163,"severity":29,"summary":164},"Safety","Halt on unexpected state","The skill instructs to handle failures gracefully and proceed with partial data, implying a halt on critical data unavailability while continuing with what is available. Specific preconditions are implicitly handled by the tool availability.",{"category":98,"check":166,"severity":29,"summary":167},"Cross-skill coupling","The skill operates as a standalone unit for client health reporting and does not appear to implicitly rely on other skills being loaded in the same session.",1778054732852,"This skill collects data from CRM, support tickets, usage metrics, billing, and engagement logs to calculate client health scores and generate a prioritized risk report with actionable recommendations. It uses a weighted scoring model and defines specific RAG status assignments and trend directions.","2.0.0","3.4.0","The extension is well-structured, addresses a clear problem, and uses scoped tools effectively. The main detractor is the lack of concrete usage examples, though edge cases are well-handled. Versioning is missing.",85,"A comprehensive skill for generating client health reports by aggregating data from various sources.",[15,16,17,18,19],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778054719621,{"descriptionLength":182,"readmeSize":8},272,{},{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778055270278,{"githubOwner":190,"githubRepo":191,"locale":23,"slug":192,"type":193},"onewave-ai","claude-skills","client-health-dashboard","skill",true,null,{"extract":197,"llm":200},{"commitSha":198,"license":199},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271","MIT",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":202},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"_creationTime":204,"_id":202,"identity":205,"providers":207,"workflow":218},1777995558409.8716,{"githubOwner":190,"githubRepo":191,"sourceUrl":206},"https://github.com/onewave-ai/claude-skills",{"discover":208,"github":211},{"sources":209},[210],"skills-sh",{"closedIssues90d":8,"forks":212,"license":199,"openIssues90d":213,"pushedAt":214,"readmeSize":215,"stars":216,"topics":217},15,1,1775817251000,11706,113,[],{"discoverAt":219,"extractAt":220,"githubAt":220,"updatedAt":220},1777995558409,1778054678433,{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":188,"updatedAt":188},1778054667983,1778054663200,[],[226,257,285,316,338,359],{"_creationTime":227,"_id":228,"community":229,"display":230,"identity":242,"providers":246,"relations":251,"workflow":253},1778053148350.4539,"k179tsfdj29k96rtptbbar2tvn866b71",{"reviewCount":8},{"description":231,"installMethods":232,"name":233,"sourceUrl":234,"tags":235},"Intelligent lead assignment and routing - AI-powered scoring, territory mapping, round-robin distribution, and workload balancing",{},"Lead Routing","https://github.com/claude-office-skills/skills/tree/HEAD/lead-routing",[236,16,237,238,239,240,19,241],"sales","lead-management","routing","assignment","automation","ai-powered",{"githubOwner":243,"githubRepo":244,"locale":23,"slug":245,"type":193},"claude-office-skills","skills","lead-routing",{"extract":247,"llm":249},{"commitSha":248,"license":199},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":250,"targetMarket":176,"tier":177},98,{"repoId":252},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":254,"extractAt":255,"githubAt":254,"llmAt":256,"updatedAt":256},1778053151766,1778053148350,1778053561145,{"_creationTime":258,"_id":259,"community":260,"display":261,"identity":277,"providers":279,"relations":283,"workflow":284},1778053148350.4705,"k176yn1fja39ypj0rjnc3n7x2n867w9x",{"reviewCount":8},{"description":262,"installMethods":263,"name":264,"sourceUrl":265,"tags":266},"SaaS business metrics analysis - MRR, ARR, Churn, LTV, CAC, cohort analysis, and investor reporting",{},"SaaS Metrics","https://github.com/claude-office-skills/skills/tree/HEAD/saas-metrics",[267,268,18,269,17,270,271,272,273,274,275,276,19],"saas","metrics","finance","mrr","arr","churn","ltv","cac","cohort","investor",{"githubOwner":243,"githubRepo":244,"locale":23,"slug":278,"type":193},"saas-metrics",{"extract":280,"llm":281},{"commitSha":248,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":282,"targetMarket":176,"tier":177},95,{"repoId":252},{"anyEnrichmentAt":254,"extractAt":255,"githubAt":254,"llmAt":256,"updatedAt":256},{"_creationTime":286,"_id":287,"community":288,"display":289,"identity":302,"providers":305,"relations":310,"workflow":312},1778053126504.8447,"k177gyb2pp9y0hpcx23rd2j0gd866t61",{"reviewCount":8},{"description":290,"installMethods":291,"name":292,"sourceUrl":293,"tags":294},"Smart Money analytics on OKX: leaderboard traders, position tracking, trade records, aggregated consensus signals, and signal history. Use this skill when the user asks about 聪明钱, smart money, 牛人榜, leaderboard, top traders, 带单员, lead traders, 交易员排行, trader ranking, trader positions, trader PnL, 交易员持仓, 交易员收益, smart money signal, 聪明钱信号, long/short ratio, 多空比, capital flow, 资金流向, position conviction, 仓位强度, entry price distribution, smart money overview, 聪明钱总览, signal history, 信号历史, trader search, 搜索交易员, who is trading BTC, 谁在交易BTC, recommend traders, 推荐交易员, best traders, top performers.",{},"OKX CEX Smart Money CLI","https://github.com/okx/agent-skills/tree/HEAD/skills/okx-cex-smartmoney",[295,296,297,18,298,299,300,301],"okx","cex","smartmoney","trader","leaderboard","signals","cli",{"githubOwner":295,"githubRepo":303,"locale":23,"slug":304,"type":193},"agent-skills","okx-cex-smartmoney",{"extract":306,"llm":308},{"commitSha":307,"license":199},"2c10950e7d08ff4a6f92e29aa5a72fc1f6982c3b",{"promptVersionExtension":170,"promptVersionScoring":171,"score":309,"targetMarket":176,"tier":177},100,{"repoId":311},"kd762kyfecgcjapqdqxsv1ngw986551x",{"anyEnrichmentAt":313,"extractAt":314,"githubAt":313,"llmAt":315,"updatedAt":315},1778053126894,1778053126504,1778053154881,{"_creationTime":317,"_id":318,"community":319,"display":320,"identity":331,"providers":333,"relations":336,"workflow":337},1778053148350.4675,"k176x1kch7mdjya5m8r9yrd5b9867mkk",{"reviewCount":8},{"description":321,"installMethods":322,"name":323,"sourceUrl":324,"tags":325},"Design presentation visuals and slide layouts. Create visual concepts, suggest graphics, and provide design specifications for impactful PowerPoint slides.",{},"PPT Visual","https://github.com/claude-office-skills/skills/tree/HEAD/ppt-visual",[326,327,328,329,330,19],"presentation","powerpoint","slides","visual-design","layout",{"githubOwner":243,"githubRepo":244,"locale":23,"slug":332,"type":193},"ppt-visual",{"extract":334,"llm":335},{"commitSha":248,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":309,"targetMarket":176,"tier":177},{"repoId":252},{"anyEnrichmentAt":254,"extractAt":255,"githubAt":254,"llmAt":256,"updatedAt":256},{"_creationTime":339,"_id":340,"community":341,"display":342,"identity":353,"providers":354,"relations":357,"workflow":358},1778053148350.4314,"k176qcxrp1gw56t60ta6a94c758662wx",{"reviewCount":8},{"description":343,"installMethods":344,"name":345,"sourceUrl":346,"tags":347},"Customer success management - onboarding, health scoring, QBRs, expansion playbooks, and retention strategies",{},"Customer Success","https://github.com/claude-office-skills/skills/tree/HEAD/customer-success",[348,349,350,351,352,236,16],"customer-success","retention","onboarding","qbr","expansion",{"githubOwner":243,"githubRepo":244,"locale":23,"slug":348,"type":193},{"extract":355,"llm":356},{"commitSha":248,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":250,"targetMarket":176,"tier":177},{"repoId":252},{"anyEnrichmentAt":254,"extractAt":255,"githubAt":254,"llmAt":256,"updatedAt":256},{"_creationTime":360,"_id":361,"community":362,"display":363,"identity":374,"providers":376,"relations":379,"workflow":380},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":364,"installMethods":365,"name":366,"sourceUrl":367,"tags":368},"Maps the full customer journey from first touch to advocacy. Generates a comprehensive customer-journey.md with all stages, touchpoints, emotions, pain points, opportunities, Mermaid diagrams, and metrics. Use when mapping customer experience, designing onboarding flows, identifying churn risks, or optimizing conversion funnels.",{},"Customer Journey Mapper","https://github.com/onewave-ai/claude-skills/tree/HEAD/customer-journey-mapper",[369,370,371,372,373,17],"customer-experience","journey-mapping","strategy","marketing","documentation",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":375,"type":193},"customer-journey-mapper",{"extract":377,"llm":378},{"commitSha":198,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":250,"targetMarket":176,"tier":177},{"repoId":202},{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":188,"updatedAt":188}]