[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-claude-office-skills-data-pipeline-zh-CN":3,"guides-for-claude-office-skills-data-pipeline":221,"similar-k173svty262n3dwffcxfdgz5px866pa1":222},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":21,"identity":188,"isFallback":192,"parentExtension":193,"providers":194,"relations":198,"repo":200,"workflow":218},1778053148350.4333,"k173svty262n3dwffcxfdgz5px866pa1",[],{"reviewCount":8},0,{"description":10,"name":11,"sourceUrl":12,"tags":13},"Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics","Data Pipeline","https://github.com/claude-office-skills/skills/tree/HEAD/data-pipeline",[14,15,16,17,18,19,20],"data-pipeline","etl","data-integration","analytics","automation","n8n","javascript",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":176,"workflow":186},1778053561145.6145,"kn7d4kkvey83j2kwbndpew1pv5867787","en",{"checks":26,"evaluatedAt":166,"extensionSummary":167,"promptVersionExtension":168,"promptVersionScoring":169,"rationale":170,"score":171,"summary":172,"tags":173,"targetMarket":174,"tier":175},[27,32,35,39,43,47,51,55,59,63,67,70,73,76,80,83,86,89,92,95,99,103,106,110,113,116,119,122,125,128,132,135,139,143,147,150,153,156,160,163],{"category":28,"check":29,"severity":30,"summary":31},"Invocation","Precise Purpose","pass","The description clearly states the artifact (data pipelines, ETL workflows) and the user intent (automation, integration, analytics). The overview section further clarifies capabilities and scope.",{"category":28,"check":33,"severity":30,"summary":34},"Concise Frontmatter","The frontmatter is dense and self-contained, providing a clear summary of the core capability and relevant keywords for routing.",{"category":36,"check":37,"severity":30,"summary":38},"Documentation","Concise Body","The SKILL.md file is well-structured and avoids excessive verbosity, with detailed information deferred to YAML blocks and code examples.",{"category":40,"check":41,"severity":30,"summary":42},"Context","Progressive Disclosure","Detailed information about data sources, transformations, and destinations is provided in structured YAML blocks and code examples within the SKILL.md file, rather than being embedded as lengthy text.",{"category":40,"check":44,"severity":45,"summary":46},"Forked exploration","not_applicable","This skill is not an exploration-style skill; it automates ETL workflows and does not require forked context.",{"category":48,"check":49,"severity":30,"summary":50},"Practical Utility","Usage examples","The SKILL.md provides a comprehensive 'Output Example' demonstrating the input, invocation, and observable outcome for creating a daily sales data pipeline.",{"category":48,"check":52,"severity":53,"summary":54},"Edge cases","info","The documentation covers common data sources, transformations, and destinations, along with scheduling and monitoring patterns, but does not explicitly detail failure modes or recovery paths for edge cases.",{"category":56,"check":57,"severity":45,"summary":58},"Code Execution","Tool Fallback","The skill does not reference external tools like MCP servers; it appears to use internal Claude capabilities or directly defined YAML/JavaScript logic.",{"category":60,"check":61,"severity":45,"summary":62},"Safety","Halt on unexpected state","The skill's documentation does not explicitly list machine-readable preconditions or instructions to abort on unexpected pre-state, but the nature of ETL workflows suggests implicit handling.",{"category":64,"check":65,"severity":30,"summary":66},"Portability","Cross-skill coupling","The skill focuses on data pipeline and ETL automation and does not appear to implicitly rely on other specific skills. It mentions related skills like 'sheets-automation' and 'data-analysis' but does not seem to require them to function.",{"category":48,"check":68,"severity":30,"summary":69},"Problem relevance","The description clearly names the problem of 'Data pipeline and ETL automation' for data integration and analytics.",{"category":48,"check":71,"severity":30,"summary":72},"Unique selling proposition","The skill provides specific ETL patterns, data source configurations, transformation logic examples, and destination options that go beyond basic LLM capabilities.",{"category":48,"check":74,"severity":30,"summary":75},"Production readiness","The extension provides a well-defined structure for data pipelines including extraction, transformation, loading, scheduling, and monitoring, suggesting it is ready for use in production workflows.",{"category":77,"check":78,"severity":30,"summary":79},"Scope","Single responsibility principle","The skill is focused on data pipeline and ETL automation, covering the full lifecycle from extraction to loading, and does not extend into unrelated domains.",{"category":77,"check":81,"severity":30,"summary":82},"Description quality","The displayed description is concise, readable, and accurately reflects the skill's purpose of data pipeline and ETL automation.",{"category":28,"check":84,"severity":53,"summary":85},"Scoped tools","The skill lists 'database_query', 'api_fetch', 'spreadsheet_write', and 'file_transform' as MCP tools, which are generally scoped, but the exact implementation and potential for generalization are not fully clear without seeing the tool definitions.",{"category":36,"check":87,"severity":53,"summary":88},"Configuration & parameter reference","While the SKILL.md provides examples of parameters for various data sources and transformations, it does not explicitly document all options, defaults, or precedence orders for configuration.",{"category":77,"check":90,"severity":30,"summary":91},"Tool naming","The listed MCP tools ('database_query', 'api_fetch', 'spreadsheet_write', 'file_transform') are descriptive and aligned with the data pipeline domain.",{"category":77,"check":93,"severity":53,"summary":94},"Minimal I/O surface","The examples show structured inputs (YAML configurations, JavaScript code) for transformations, but the precise schemas for tool parameters and responses are not fully detailed, making it hard to assess if they are minimal.",{"category":96,"check":97,"severity":30,"summary":98},"License","License usability","The extension has a MIT license file, which is a permissive open-source license, and it is also declared in the SKILL.md frontmatter.",{"category":100,"check":101,"severity":45,"summary":102},"Maintenance","Commit recency","No commit history is available for this specific skill in the provided context, so its recency cannot be determined.",{"category":100,"check":104,"severity":45,"summary":105},"Dependency Management","No third-party dependencies are explicitly declared or managed by this skill, as it appears to leverage built-in Claude capabilities or YAML/JavaScript definitions.",{"category":107,"check":108,"severity":45,"summary":109},"Security","Secret Management","The provided documentation does not indicate the use of secrets or API keys directly within the skill's definition or examples. Configuration details like 'connection_string' are placeholders.",{"category":107,"check":111,"severity":30,"summary":112},"Injection","The skill's structure relies on predefined YAML and JavaScript configurations, and there are no indications of loading external untrusted data as executable instructions.",{"category":107,"check":114,"severity":30,"summary":115},"Transitive Supply-Chain Grenades","The skill's logic is contained within the provided SKILL.md file and associated YAML/JavaScript examples. There are no indications of runtime downloads or execution of external scripts.",{"category":107,"check":117,"severity":30,"summary":118},"Sandbox Isolation","The skill operates on data transformation and pipeline definitions, without any apparent mechanism to modify files outside its designated scope or the project folder.",{"category":107,"check":120,"severity":30,"summary":121},"Sandbox escape primitives","The skill's logic is declarative (YAML) and functional (JavaScript examples), with no evidence of detached process spawns or retry loops around denied calls.",{"category":107,"check":123,"severity":30,"summary":124},"Data Exfiltration","The skill focuses on data pipeline automation and does not contain any instructions or code snippets that suggest exfiltrating confidential data or making undocumented outbound calls.",{"category":107,"check":126,"severity":30,"summary":127},"Hidden Text Tricks","The bundled files (SKILL.md, example YAML, example JS) are free of hidden-steering tricks like HTML comments or invisible Unicode characters.",{"category":129,"check":130,"severity":30,"summary":131},"Hooks","Opaque code execution","The JavaScript examples are provided as clear, readable code, and there's no indication of obfuscation, base64 payloads, or runtime script fetching.",{"category":64,"check":133,"severity":30,"summary":134},"Structural Assumption","The skill defines its own internal structures for data sources, transformations, and destinations, and does not make assumptions about external project organization or OS-specific paths.",{"category":136,"check":137,"severity":45,"summary":138},"Trust","Issues Attention","No GitHub issue data is available for this extension.",{"category":140,"check":141,"severity":30,"summary":142},"Versioning","Release Management","A version ('1.0.0') is clearly declared in the SKILL.md frontmatter.",{"category":56,"check":144,"severity":145,"summary":146},"Validation","warning","While the examples show structured inputs for configurations and code, there's no explicit mention or demonstration of using a schema validation library for parameters or outputs, which could lead to unexpected behavior with malformed inputs.",{"category":107,"check":148,"severity":30,"summary":149},"Unguarded Destructive Operations","The skill focuses on data pipeline construction, and the described operations (query, fetch, write, transform) do not appear to be inherently destructive without explicit user intent and configuration.",{"category":56,"check":151,"severity":53,"summary":152},"Error Handling","The SKILL.md mentions 'Error handling and alerts' as a capability, and the n8n-like YAML examples suggest error handling patterns, but specific details on how errors are caught, categorized, and reported are not provided.",{"category":56,"check":154,"severity":45,"summary":155},"Logging","The skill's nature as a declarative ETL definition does not appear to require local audit file logging for destructive actions. Any logging would likely be handled by the underlying execution environment.",{"category":157,"check":158,"severity":45,"summary":159},"Compliance","GDPR","The skill operates on data pipeline configurations and transformation logic, not personal data itself, making GDPR considerations not directly applicable to the skill's implementation.",{"category":157,"check":161,"severity":30,"summary":162},"Target market","The skill is focused on generic data pipeline and ETL concepts without any regional-specific laws, formats, or APIs, making it globally applicable. The targetMarket field is correctly set to 'global'.",{"category":64,"check":164,"severity":30,"summary":165},"Runtime stability","The skill's design, primarily based on declarative configurations and standard JavaScript, suggests good cross-platform compatibility without relying on specific OS features or tools.",1778053265550,"This skill enables the creation of data pipelines for extraction, transformation, and loading from various sources like APIs, databases, and files. It supports common transformation patterns and loading to destinations such as data warehouses, databases, files, and APIs, with options for scheduling and monitoring.","2.0.0","3.4.0","The Data Pipeline skill is well-defined and production-ready, with clear scope, good documentation, and robust security practices. It uses a permissive MIT license and has a clear version. The primary area for improvement is more explicit detail on input validation for tool parameters and error handling mechanisms.",92,"A comprehensive skill for building and automating data pipelines and ETL workflows.",[14,15,16,17,18,19,20],"global","verified",{"codeQuality":177,"collectedAt":178,"documentation":179,"maintenance":181,"security":182,"testCoverage":185},{},1778053250472,{"descriptionLength":180,"readmeSize":8},104,{},{"hasNpmPackage":183,"license":184,"smitheryVerified":183},false,"MIT",{"hasCi":183,"hasTests":183},{"updatedAt":187},1778053561145,{"githubOwner":189,"githubRepo":190,"locale":24,"slug":14,"type":191},"claude-office-skills","skills","skill",true,null,{"extract":195,"llm":197},{"commitSha":196,"license":184},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":168,"promptVersionScoring":169,"score":171,"targetMarket":174,"tier":175},{"repoId":199},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"_creationTime":201,"_id":199,"identity":202,"providers":204,"workflow":215},1777995558409.8474,{"githubOwner":189,"githubRepo":190,"sourceUrl":203},"https://github.com/claude-office-skills/skills",{"discover":205,"github":208},{"sources":206},[207],"skills-sh",{"closedIssues90d":8,"forks":209,"license":184,"openIssues90d":210,"pushedAt":211,"readmeSize":212,"stars":213,"topics":214},27,2,1769868236000,29630,98,[],{"discoverAt":216,"extractAt":217,"githubAt":217,"updatedAt":217},1777995558409,1778053155657,{"anyEnrichmentAt":219,"extractAt":220,"githubAt":219,"llmAt":187,"updatedAt":187},1778053151766,1778053148350,[],[223,244,267,295,325,356],{"_creationTime":224,"_id":225,"community":226,"display":227,"identity":236,"providers":238,"relations":242,"workflow":243},1778053148350.4407,"k178af4x3rgc2d00rcyykvca0x8674dv",{"reviewCount":8},{"description":228,"installMethods":229,"name":230,"sourceUrl":231,"tags":232},"Design and automate Extract, Transform, Load data pipelines for data integration and analytics",{},"ETL Pipeline","https://github.com/claude-office-skills/skills/tree/HEAD/etl-pipeline",[15,14,233,17,18,234,235],"integration","mcp","data-engineering",{"githubOwner":189,"githubRepo":190,"locale":24,"slug":237,"type":191},"etl-pipeline",{"extract":239,"llm":240},{"commitSha":196,"license":184},{"promptVersionExtension":168,"promptVersionScoring":169,"score":241,"targetMarket":174,"tier":175},95,{"repoId":199},{"anyEnrichmentAt":219,"extractAt":220,"githubAt":219,"llmAt":187,"updatedAt":187},{"_creationTime":245,"_id":246,"community":247,"display":248,"identity":259,"providers":261,"relations":265,"workflow":266},1778053148350.472,"k173y3pwnb1drb2gbyz8f6z35h867n6c",{"reviewCount":8},{"description":249,"installMethods":250,"name":251,"sourceUrl":252,"tags":253},"Google Sheets automation workflows - data sync, task management, reporting dashboards, and multi-platform integrations",{},"Google Sheets Automation","https://github.com/claude-office-skills/skills/tree/HEAD/sheets-automation",[254,18,255,256,19,257,258],"google-sheets","data-sync","reporting","productivity","workflow",{"githubOwner":189,"githubRepo":190,"locale":24,"slug":260,"type":191},"sheets-automation",{"extract":262,"llm":263},{"commitSha":196,"license":184},{"promptVersionExtension":168,"promptVersionScoring":169,"score":264,"targetMarket":174,"tier":175},96,{"repoId":199},{"anyEnrichmentAt":219,"extractAt":220,"githubAt":219,"llmAt":187,"updatedAt":187},{"_creationTime":268,"_id":269,"community":270,"display":271,"identity":281,"providers":285,"relations":289,"workflow":291},1778054663200.0632,"k17ewd377wdsx6ays73afgzezx867xrr",{"reviewCount":8},{"description":272,"name":273,"sourceUrl":274,"tags":275},"Designs and builds ETL/ELT data pipelines. Takes data sources, destination, transformation requirements. Generates pipeline code (Python/SQL), scheduling config, error handling, monitoring setup, and data quality checks. Outputs data-pipeline-spec.md + implementation files.","Data Pipeline Builder","https://github.com/onewave-ai/claude-skills/tree/HEAD/data-pipeline-builder",[15,276,14,277,278,279,280],"elt","python","sql","airflow","dbt",{"githubOwner":282,"githubRepo":283,"locale":24,"slug":284,"type":191},"onewave-ai","claude-skills","data-pipeline-builder",{"extract":286,"llm":288},{"commitSha":287,"license":184},"eb3d80be32b6cafcf0d5df1c1b8a95df75838271",{"promptVersionExtension":168,"promptVersionScoring":169,"score":241,"targetMarket":174,"tier":175},{"repoId":290},"kd71e43dj0b7ak5e55pyshxp4n864t6p",{"anyEnrichmentAt":292,"extractAt":293,"githubAt":292,"llmAt":294,"updatedAt":294},1778054667983,1778054663200,1778055270278,{"_creationTime":296,"_id":297,"community":298,"display":299,"identity":310,"providers":314,"relations":318,"workflow":320},1778000103998.9365,"k17bxccamhwjfp8p59ykr1gz05865kar",{"reviewCount":8},{"description":300,"installMethods":301,"name":302,"sourceUrl":303,"tags":304},"Extension from windsor-ai/windsor_mcp",{},"Windsor MCP","https://github.com/windsor-ai/windsor_mcp",[234,16,305,17,306,307,308,309],"marketing-data","authentication","oauth","api","hosted-service",{"githubOwner":311,"githubRepo":312,"locale":24,"slug":313,"type":191},"windsor-ai","windsor_mcp","windsor-mcp",{"extract":315,"smithery":317},{"commitSha":316,"license":184},"0279ec84206f614db2ab79c9ebb8a615b7d280cf",{"qualityScore":8,"totalActivations":8,"uniqueUsers":8,"useCount":8,"verified":183},{"repoId":319},"kd71c3q802207chzqxb74vz3zd865wrt",{"anyEnrichmentAt":321,"extractAt":322,"githubAt":323,"invalidatedAt":321,"llmAt":324,"smitheryAt":321,"updatedAt":321},1778007780389,1778000103998,1778000104283,1778006249801,{"_creationTime":326,"_id":327,"community":328,"display":329,"identity":342,"providers":345,"relations":350,"workflow":352},1778053126504.8447,"k177gyb2pp9y0hpcx23rd2j0gd866t61",{"reviewCount":8},{"description":330,"installMethods":331,"name":332,"sourceUrl":333,"tags":334},"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",[335,336,337,17,338,339,340,341],"okx","cex","smartmoney","trader","leaderboard","signals","cli",{"githubOwner":335,"githubRepo":343,"locale":24,"slug":344,"type":191},"agent-skills","okx-cex-smartmoney",{"extract":346,"llm":348},{"commitSha":347,"license":184},"2c10950e7d08ff4a6f92e29aa5a72fc1f6982c3b",{"promptVersionExtension":168,"promptVersionScoring":169,"score":349,"targetMarket":174,"tier":175},100,{"repoId":351},"kd762kyfecgcjapqdqxsv1ngw986551x",{"anyEnrichmentAt":353,"extractAt":354,"githubAt":353,"llmAt":355,"updatedAt":355},1778053126894,1778053126504,1778053154881,{"_creationTime":357,"_id":358,"community":359,"display":360,"identity":371,"providers":373,"relations":378,"workflow":381},1778054268187.7783,"k1799kwx7k8g1vx165qr4np3298670sw",{"reviewCount":8},{"description":361,"installMethods":362,"name":363,"sourceUrl":364,"tags":365},"Guide for using the Bright Data CLI (`brightdata` / `bdata`) to scrape websites, search the web, extract structured data from 40+ platforms, manage proxy zones, and check account budget. Use this skill whenever the user wants to scrape a URL, search Google/Bing/Yandex, extract data from Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit or any other platform, check their Bright Data balance or zones, or do anything involving web data collection from the terminal. Also trigger when the user mentions brightdata, bdata, web scraping CLI, SERP API, or wants to install Bright Data skills into their coding agent.",{},"Bright Data CLI","https://github.com/brightdata/skills/tree/HEAD/skills/brightdata-cli",[366,341,367,368,369,18,370],"brightdata","web-scraping","data-extraction","serp-api","terminal",{"githubOwner":366,"githubRepo":190,"locale":24,"slug":372,"type":191},"brightdata-cli",{"extract":374,"llm":376},{"commitSha":375,"license":184},"d0eeb1fbab809ffffe7c270186bd3eb78cf0c8ba",{"promptVersionExtension":168,"promptVersionScoring":169,"score":377,"targetMarket":174,"tier":175},99,{"parentExtensionId":379,"repoId":380},"k177secs2fy2665c3z8prspg0s867xd1","kd7e4q3ah25vmt87x67vanphhn864r9h",{"anyEnrichmentAt":382,"extractAt":383,"githubAt":382,"llmAt":384,"updatedAt":384},1778054269540,1778054268187,1778054318963]