[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-onewave-ai-executive-dashboard-generator-ja":3,"guides-for-onewave-ai-executive-dashboard-generator":224,"similar-k173n530j4dqq0ya45bpgxve95866jae":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},1778054663200.07,"k173n530j4dqq0ya45bpgxve95866jae",[],{"reviewCount":8},0,{"description":10,"installMethods":11,"name":12,"sourceUrl":13,"tags":14},"Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Use when users need to turn spreadsheets into executive summaries or board reports.",{},"Executive Dashboard Generator","https://github.com/onewave-ai/claude-skills/tree/HEAD/executive-dashboard-generator",[15,16,17,18,19],"data-analysis","reporting","visualization","business-intelligence","executive-summary",{"_creationTime":21,"_id":22,"extensionId":5,"locale":23,"result":24,"trustSignals":178,"workflow":187},1778055270278.1064,"kn73wwk7axvwtm0r999z29fz0d866v9a","en",{"checks":25,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[26,31,34,37,41,44,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,109,113,116,119,122,127,130,133,136,139,142,146,149,152,155,158,161,165],{"category":27,"check":28,"severity":29,"summary":30},"Practical Utility","Problem relevance","pass","The description clearly states the user problem of transforming raw data into executive-ready reports and names a specific user (leadership) and use case (spreadsheets to board reports).",{"category":27,"check":32,"severity":29,"summary":33},"Unique selling proposition","The extension goes beyond a simple prompt by offering structured data handling, multiple analysis types, and a defined output format for generating executive-ready insights, which is more than default LLM behavior.",{"category":27,"check":35,"severity":29,"summary":36},"Production readiness","The skill provides a complete workflow from data discovery to insight generation and visualization strategy, complete with a detailed output format, suggesting it is ready for use in a professional workflow.",{"category":38,"check":39,"severity":29,"summary":40},"Scope","Single responsibility principle","The extension focuses on generating executive dashboards from data, covering a coherent workflow without extending into unrelated domains like testing or deployment.",{"category":38,"check":42,"severity":29,"summary":43},"Description quality","The displayed description is concise, readable, and accurately reflects the extension's capability to transform data into executive reports.",{"category":45,"check":46,"severity":47,"summary":48},"Invocation","Scoped tools","not_applicable","This skill does not expose explicit tools; its functionality is driven by natural language instructions within the SKILL.md file.",{"category":50,"check":51,"severity":47,"summary":52},"Documentation","Configuration & parameter reference","The skill does not expose configurable parameters or environment variables; its operation is guided by the instructions within SKILL.md.",{"category":38,"check":54,"severity":47,"summary":55},"Tool naming","This skill does not define explicit tools, therefore tool naming conventions are not applicable.",{"category":38,"check":57,"severity":47,"summary":58},"Minimal I/O surface","As this skill operates via natural language instructions within SKILL.md and does not expose specific tools, I/O surface analysis is not applicable.",{"category":60,"check":61,"severity":29,"summary":62},"License","License usability","The extension includes a standard MIT license file, which is a permissive open-source license.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","warning","There are no commits on the default branch in the last 12 months, indicating the extension may be unmaintained.",{"category":64,"check":69,"severity":47,"summary":70},"Dependency Management","The skill does not appear to use any third-party dependencies.",{"category":72,"check":73,"severity":29,"summary":74},"Security","Secret Management","The skill does not appear to handle or expose any secrets; it focuses on data transformation and report generation.",{"category":72,"check":76,"severity":29,"summary":77},"Injection","The skill's instructions are contained within SKILL.md and do not appear to load or execute untrusted third-party data.",{"category":72,"check":79,"severity":29,"summary":80},"Transitive Supply-Chain Grenades","The skill does not fetch remote content or execute external scripts at runtime, thus avoiding transitive supply-chain risks.",{"category":72,"check":82,"severity":29,"summary":83},"Sandbox Isolation","The skill's instructions do not indicate any operations that would modify files outside of its intended scope or the project folder.",{"category":72,"check":85,"severity":29,"summary":86},"Sandbox escape primitives","No detached process spawns or deny-retry loops were detected in the skill's instructions.",{"category":72,"check":88,"severity":29,"summary":89},"Data Exfiltration","The skill focuses on data analysis and report generation, with no apparent mechanisms for exfiltrating confidential data.",{"category":72,"check":91,"severity":29,"summary":92},"Hidden Text Tricks","The bundled content is free of hidden steering tricks, control characters, or invisible Unicode sequences.",{"category":94,"check":95,"severity":29,"summary":96},"Hooks","Opaque code execution","The skill's instructions are in plain markdown and do not contain obfuscated code, base64 payloads, or runtime script fetching.",{"category":98,"check":99,"severity":29,"summary":100},"Portability","Structural Assumption","The skill's instructions are general and do not appear to make assumptions about user-specific project organization or OS-specific paths.",{"category":102,"check":103,"severity":47,"summary":104},"Trust","Issues Attention","Issue data is not available for this repository.",{"category":106,"check":107,"severity":66,"summary":108},"Versioning","Release Management","There is no manifest version, GitHub release tag, or CHANGELOG.md, and install instructions in README reference 'main', making version pinning impossible.",{"category":110,"check":111,"severity":47,"summary":112},"Code Execution","Validation","This skill does not expose executable code or structured output; it operates via natural language instructions.",{"category":72,"check":114,"severity":29,"summary":115},"Unguarded Destructive Operations","The skill is analytical and read-only, with no destructive operations present.",{"category":110,"check":117,"severity":29,"summary":118},"Error Handling","The instructions describe a structured output format and imply that errors would be handled within the LLM's response, rather than crashing the process.",{"category":110,"check":120,"severity":47,"summary":121},"Logging","The skill does not perform destructive actions or outbound calls that would require local audit logging.",{"category":123,"check":124,"severity":125,"summary":126},"Compliance","GDPR","info","The skill processes data for analysis and report generation. While not explicitly handling personal data, it's possible personal data could be submitted to the LLM without explicit sanitization, though its primary focus is business metrics.",{"category":123,"check":128,"severity":29,"summary":129},"Target market","The skill focuses on general business data analysis and reporting, with no specific regional or jurisdictional logic detected. Target market is global.",{"category":98,"check":131,"severity":29,"summary":132},"Runtime stability","The skill's instructions are written in markdown and do not appear to rely on specific shells, operating systems, or runtimes beyond standard LLM execution.",{"category":45,"check":134,"severity":29,"summary":135},"Precise Purpose","The description and instructions clearly define the skill's purpose (transforming data into executive reports) and its intended use cases, including specific trigger phrases and explicit boundaries.",{"category":45,"check":137,"severity":29,"summary":138},"Concise Frontmatter","The frontmatter in SKILL.md is concise and effectively summarizes the core capability and includes relevant trigger phrases.",{"category":50,"check":140,"severity":29,"summary":141},"Concise Body","The SKILL.md body is well-structured and under approximately 500 lines, with detailed output formats and best practices delegated to the main markdown content.",{"category":143,"check":144,"severity":29,"summary":145},"Context","Progressive Disclosure","The detailed output format, best practices, and guidelines are well-organized within the SKILL.md file, providing a clear structure without excessive length.",{"category":143,"check":147,"severity":47,"summary":148},"Forked exploration","This skill is not designed for deep exploration or code review; it performs a defined data transformation task, so context forking is not applicable.",{"category":27,"check":150,"severity":29,"summary":151},"Usage examples","The SKILL.md includes a comprehensive example request, a detailed response approach, and outlines common use cases with trigger phrases, demonstrating how to use the skill.",{"category":27,"check":153,"severity":29,"summary":154},"Edge cases","The skill's instructions acknowledge potential data quality issues and provide a structured response approach, implying handling of edge cases, and the 'Response Approach' section lists steps that implicitly cover some failure modes.",{"category":110,"check":156,"severity":47,"summary":157},"Tool Fallback","This skill does not rely on external tools like MCP servers; its functionality is driven by the LLM's instruction following.",{"category":98,"check":159,"severity":29,"summary":160},"Stack assumptions","The skill is designed to run within the Claude Code environment and does not make assumptions about external shells, OS, or specific tooling beyond what the environment provides.",{"category":162,"check":163,"severity":29,"summary":164},"Safety","Halt on unexpected state","The skill's instructions imply a structured approach to data analysis and report generation, suggesting it would halt or report errors on unexpected input states rather than proceeding destructively.",{"category":98,"check":166,"severity":29,"summary":167},"Cross-skill coupling","The skill is self-contained and focused on executive dashboard generation; it does not implicitly rely on other skills and clearly defines its scope.",1778054832960,"This skill analyzes data from various sources like CSVs, spreadsheets, and databases to generate comprehensive executive reports. It includes detailed financial performance, sales, operations, and customer metrics, complete with trend analysis, scenario planning, and strategic recommendations.","2.0.0","3.4.0","The 'Executive Dashboard Generator' is a well-defined and practical skill that adheres to good documentation and security practices. Its primary weakness is the lack of recent commits and a clear versioning signal, which are common for well-established but less actively maintained projects. The 'Commit recency' and 'Release Management' checks are flagged as warnings, but the skill's overall quality and utility are high.",88,"This skill effectively transforms raw data into polished executive dashboards with actionable insights.",[15,16,17,18,19],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778054818310,{"descriptionLength":182,"readmeSize":8},299,{},{"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","executive-dashboard-generator","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,[],[226,256,277,309,343,364],{"_creationTime":227,"_id":228,"community":229,"display":230,"identity":239,"providers":243,"relations":249,"workflow":251},1778053968286.492,"k17anekbzm63w56w6p2464ehfs867yy1",{"reviewCount":8},{"description":231,"name":232,"sourceUrl":233,"tags":234},"Use for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.","Data Visualization Skill","https://github.com/langchain-ai/deepagents/tree/HEAD/examples/nvidia_deep_agent/skills/data-visualization",[17,235,236,237,15,238],"charts","matplotlib","seaborn","python",{"githubOwner":240,"githubRepo":241,"locale":23,"slug":242,"type":193},"langchain-ai","deepagents","data-visualization",{"extract":244,"llm":246,"smithery":248},{"commitSha":245,"license":199},"b108c71d0c570e16c7050c1eac482e15dc35a5ed",{"promptVersionExtension":170,"promptVersionScoring":171,"score":247,"targetMarket":176,"tier":177},95,{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":185},{"repoId":250},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"anyEnrichmentAt":252,"extractAt":253,"githubAt":254,"llmAt":255,"smitheryAt":252,"updatedAt":255},1778053994907,1778053968286,1778053969344,1778054053159,{"_creationTime":257,"_id":258,"community":259,"display":260,"identity":269,"providers":271,"relations":275,"workflow":276},1778054663200.0627,"k17bc9rrw16jy17wg5wd5gnwfh867bt9",{"reviewCount":8},{"description":261,"name":262,"sourceUrl":263,"tags":264},"Aggregate and analyze customer reviews from G2, Capterra, Trustpilot, App Store, and other platforms. Performs sentiment analysis, identifies pain points, extracts feature feedback, generates marketing claims, and compares competitor reviews. Use when users need review analysis, competitive intelligence, or customer feedback insights.","Customer Review Aggregator & Analyzer","https://github.com/onewave-ai/claude-skills/tree/HEAD/customer-review-aggregator",[265,266,267,268,15,16],"customer-reviews","sentiment-analysis","competitive-intelligence","marketing",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":270,"type":193},"customer-review-aggregator",{"extract":272,"llm":273},{"commitSha":198,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":274,"targetMarket":176,"tier":177},90,{"repoId":202},{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":188,"updatedAt":188},{"_creationTime":278,"_id":279,"community":280,"display":281,"identity":293,"providers":296,"relations":303,"workflow":305},1778054691785.2554,"k179r3z09h3t0ed62ac4yy0qzn867erz",{"reviewCount":8},{"description":282,"name":283,"sourceUrl":284,"tags":285},"Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas","Excel Spreadsheet Operations","https://github.com/answerzhao/agent-skills/tree/HEAD/glm-skills/document-skills/xlsx",[286,287,288,289,290,291,292,15,17],"spreadsheet","excel","xlsx","csv","pandas","openpyxl","formulas",{"githubOwner":294,"githubRepo":295,"locale":23,"slug":288,"type":193},"answerzhao","agent-skills",{"extract":297,"llm":300},{"commitSha":298,"license":299},"aad73edbd0d9ffbc3d6a402b6eafa6dab96d5ebb","Proprietary",{"promptVersionExtension":170,"promptVersionScoring":171,"score":301,"targetMarket":176,"tier":302},75,"flagged",{"repoId":304},"kd712v2g1pay70swwj0jpv2ggs864zgh",{"anyEnrichmentAt":306,"extractAt":307,"githubAt":306,"llmAt":308,"updatedAt":308},1778054692243,1778054691785,1778054738050,{"_creationTime":310,"_id":311,"community":312,"display":313,"identity":327,"providers":330,"relations":336,"workflow":338},1777995620896.9917,"k17231zep11befm3g43rsa1yv5864trn",{"reviewCount":8},{"description":314,"installMethods":315,"name":317,"sourceUrl":318,"tags":319},"Extension from aliengiraffe/spotdb",{"docker":316},"aliengiraffe/spotdb","SpotDB","https://github.com/aliengiraffe/spotdb",[320,321,322,323,15,324,325,326,289],"database","sql","duckdb","go","sandbox","mcp","api",{"githubOwner":328,"githubRepo":329,"locale":23,"slug":329,"type":193},"aliengiraffe","spotdb",{"extract":331,"llm":333,"smithery":335},{"commitSha":332,"license":199},"cfbbef27f89d18939149790a0fa9ce1ee2c5eac5",{"promptVersionExtension":170,"promptVersionScoring":171,"score":334,"targetMarket":176,"tier":177},98,{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":185},{"repoId":337},"kd72fk7ta378vyy81k8hqp5rs5864hzf",{"anyEnrichmentAt":339,"extractAt":340,"githubAt":341,"llmAt":342,"smitheryAt":339,"updatedAt":342},1777995723550,1777995620897,1777995621254,1777995897177,{"_creationTime":344,"_id":345,"community":346,"display":347,"identity":357,"providers":359,"relations":362,"workflow":363},1778054663200.0623,"k1787qemz1vae1jy4xsx7c2zyn867dwd",{"reviewCount":8},{"description":348,"installMethods":349,"name":350,"sourceUrl":351,"tags":352},"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",[353,354,355,268,356,16],"customer-experience","journey-mapping","strategy","documentation",{"githubOwner":190,"githubRepo":191,"locale":23,"slug":358,"type":193},"customer-journey-mapper",{"extract":360,"llm":361},{"commitSha":198,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":334,"targetMarket":176,"tier":177},{"repoId":202},{"anyEnrichmentAt":222,"extractAt":223,"githubAt":222,"llmAt":188,"updatedAt":188},{"_creationTime":365,"_id":366,"community":367,"display":368,"identity":378,"providers":381,"relations":385,"workflow":387},1778053148350.4324,"k174n1jd975yr6a1gceyf5q3gd8674w1",{"reviewCount":8},{"description":369,"installMethods":370,"name":371,"sourceUrl":372,"tags":373},"Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.",{},"Data Analysis Assistant","https://github.com/claude-office-skills/skills/tree/HEAD/data-analysis",[374,375,286,287,17,376,377,325],"data","analysis","insights","finance",{"githubOwner":379,"githubRepo":380,"locale":23,"slug":15,"type":193},"claude-office-skills","skills",{"extract":382,"llm":384},{"commitSha":383,"license":199},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":334,"targetMarket":176,"tier":177},{"repoId":386},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":388,"extractAt":389,"githubAt":388,"llmAt":390,"updatedAt":390},1778053151766,1778053148350,1778053561145]