[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"extension-skill-onewave-ai-data-pipeline-builder-th":3,"guides-for-onewave-ai-data-pipeline-builder":224,"similar-k17ewd377wdsx6ays73afgzezx867xrr":225},{"_creationTime":4,"_id":5,"children":6,"community":7,"display":9,"evaluation":21,"identity":189,"isFallback":194,"parentExtension":195,"providers":196,"relations":201,"repo":203,"workflow":221},1778054663200.0632,"k17ewd377wdsx6ays73afgzezx867xrr",[],{"reviewCount":8},0,{"description":10,"name":11,"sourceUrl":12,"tags":13},"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",[14,15,16,17,18,19,20],"etl","elt","data-pipeline","python","sql","airflow","dbt",{"_creationTime":22,"_id":23,"extensionId":5,"locale":24,"result":25,"trustSignals":178,"workflow":187},1778055270278.0789,"kn7bb72tg691hvzmey9wc3s8ch867gka","en",{"checks":26,"evaluatedAt":168,"extensionSummary":169,"promptVersionExtension":170,"promptVersionScoring":171,"rationale":172,"score":173,"summary":174,"tags":175,"targetMarket":176,"tier":177},[27,32,35,38,42,45,49,53,56,59,63,68,71,75,78,81,84,87,90,93,97,101,105,110,114,117,120,123,127,130,133,136,139,142,146,149,152,155,158,161,165],{"category":28,"check":29,"severity":30,"summary":31},"Practical Utility","Problem relevance","pass","The description clearly names the problem of designing and building ETL/ELT data pipelines, which is a concrete user pain point.",{"category":28,"check":33,"severity":30,"summary":34},"Unique selling proposition","The skill offers significant value beyond a simple prompt by generating a comprehensive pipeline specification, code, configuration, and quality checks, steering the LLM towards a complex engineering task.",{"category":28,"check":36,"severity":30,"summary":37},"Production readiness","The extension provides a complete lifecycle for ETL/ELT pipeline development, including design, implementation, documentation, and quality checks, making it suitable for production workflows.",{"category":39,"check":40,"severity":30,"summary":41},"Scope","Single responsibility principle","The extension focuses solely on the design and building of ETL/ELT data pipelines, without extending into unrelated domains like deployment or general code review.",{"category":39,"check":43,"severity":30,"summary":44},"Description quality","The displayed description accurately, concisely, and readably reflects the capabilities of the data pipeline builder.",{"category":46,"check":47,"severity":30,"summary":48},"Invocation","Scoped tools","The skill utilizes a set of well-defined, narrow tools (Read, Write, Edit, Glob, Grep, Bash) appropriate for its task, rather than a single generalist command.",{"category":50,"check":51,"severity":30,"summary":52},"Documentation","Configuration & parameter reference","The SKILL.md and provided pattern files extensively document configuration options, parameters, and their precedence, covering pipeline configuration, connections, and quality checks.",{"category":39,"check":54,"severity":30,"summary":55},"Tool naming","The tools provided (Read, Write, Edit, Glob, Grep, Bash) are standard and descriptive for the tasks they perform.",{"category":39,"check":57,"severity":30,"summary":58},"Minimal I/O surface","The skill's expected inputs (data sources, destination, transformations) are well-defined, and its outputs (pipeline code, spec, config) are specific to the task.",{"category":60,"check":61,"severity":30,"summary":62},"License","License usability","The extension is distributed under the MIT license, which is a permissive open-source license.",{"category":64,"check":65,"severity":66,"summary":67},"Maintenance","Commit recency","not_applicable","No commit data is available for this check.",{"category":64,"check":69,"severity":66,"summary":70},"Dependency Management","The skill appears to bundle necessary logic and patterns, and does not explicitly declare external dependencies that would require active management.",{"category":72,"check":73,"severity":30,"summary":74},"Security","Secret Management","The patterns and configuration examples emphasize using environment variables or secret managers, and do not show hardcoded secrets or dumping of sensitive information.",{"category":72,"check":76,"severity":30,"summary":77},"Injection","The skill's design focuses on generating code and configurations based on user requirements, and does not appear to load or execute arbitrary third-party data as instructions.",{"category":72,"check":79,"severity":30,"summary":80},"Transitive Supply-Chain Grenades","All provided code and patterns are contained within the repository, and there are no runtime downloads or remote code execution mechanisms that could introduce supply chain risks.",{"category":72,"check":82,"severity":30,"summary":83},"Sandbox Isolation","The skill generates code and configurations, but does not itself perform operations that would modify files outside the project or bypass sandbox limitations.",{"category":72,"check":85,"severity":30,"summary":86},"Sandbox escape primitives","No detached processes, retry loops around denied calls, or other sandbox escape primitives were detected in the skill's instructions or patterns.",{"category":72,"check":88,"severity":30,"summary":89},"Data Exfiltration","The skill focuses on code generation and pipeline design, with no apparent mechanisms for reading or submitting confidential data to third parties.",{"category":72,"check":91,"severity":30,"summary":92},"Hidden Text Tricks","The bundled files are free of hidden-steering tricks, invisible characters, or obfuscated content.",{"category":94,"check":95,"severity":30,"summary":96},"Hooks","Opaque code execution","The provided code patterns are standard Python and YAML, with no evidence of obfuscation, base64 payloads, or runtime code fetching.",{"category":98,"check":99,"severity":30,"summary":100},"Portability","Structural Assumption","The skill uses placeholders and environment variables for configuration and output file paths, avoiding assumptions about user-specific project organization.",{"category":102,"check":103,"severity":66,"summary":104},"Trust","Issues Attention","Issue data is not available for this repository.",{"category":106,"check":107,"severity":108,"summary":109},"Versioning","Release Management","warning","There is no explicit versioning information (e.g., git tags, changelog, manifest version) for this skill or its associated patterns, and installation instructions might default to 'main'.",{"category":111,"check":112,"severity":30,"summary":113},"Code Execution","Validation","The provided patterns include extensive validation schemas (e.g., Zod-like structures in Python dataclasses) and configuration validation, ensuring inputs are constrained.",{"category":72,"check":115,"severity":30,"summary":116},"Unguarded Destructive Operations","The skill generates pipeline code that would require explicit configuration and potential user confirmation for destructive operations, rather than executing them directly and unguarded.",{"category":111,"check":118,"severity":30,"summary":119},"Error Handling","The provided patterns demonstrate robust error handling, including custom exception types, retry mechanisms, and structured reporting.",{"category":111,"check":121,"severity":30,"summary":122},"Logging","The included patterns specify structured logging and the generation of audit logs for pipeline actions, promoting traceability.",{"category":124,"check":125,"severity":30,"summary":126},"Compliance","GDPR","The skill focuses on pipeline design and code generation, and does not appear to process personal data directly. Configuration options allow for PII handling specifications.",{"category":124,"check":128,"severity":30,"summary":129},"Target market","The extension is global in scope, focusing on data pipeline engineering which is a generalist technical domain without specific regional constraints.",{"category":98,"check":131,"severity":30,"summary":132},"Runtime stability","The skill relies on standard Python and common data engineering tools/patterns, and the provided code includes mechanisms for configuration and error handling that promote portability.",{"category":46,"check":134,"severity":30,"summary":135},"Precise Purpose","The skill's description clearly defines its purpose: designing and building ETL/ELT data pipelines, and specifies the inputs and outputs.",{"category":46,"check":137,"severity":30,"summary":138},"Concise Frontmatter","The frontmatter is concise and effectively summarizes the skill's core capability and tools.",{"category":50,"check":140,"severity":30,"summary":141},"Concise Body","The SKILL.md is well-structured and under 500 lines, delegating detailed patterns to separate files.",{"category":143,"check":144,"severity":30,"summary":145},"Context","Progressive Disclosure","The skill utilizes separate files for detailed patterns (extractors, transformers, loaders, etc.), demonstrating progressive disclosure.",{"category":143,"check":147,"severity":66,"summary":148},"Forked exploration","This skill is primarily about code generation and design, not deep exploration or code review, so forked context is not applicable.",{"category":28,"check":150,"severity":30,"summary":151},"Usage examples","The skill provides detailed patterns for extractors, transformers, loaders, and configuration, which serve as comprehensive examples of usage for different pipeline components.",{"category":28,"check":153,"severity":30,"summary":154},"Edge cases","The SKILL.md and included patterns detail numerous edge cases and failure modes (e.g., schema evolution, dead letter handling, idempotency, retry policies) with recovery steps.",{"category":111,"check":156,"severity":66,"summary":157},"Tool Fallback","The skill does not appear to rely on external tools like MCP servers and uses Claude-internal tools, making fallback mechanisms not applicable.",{"category":98,"check":159,"severity":30,"summary":160},"Stack assumptions","The skill clearly declares its stack assumptions through provided Python and YAML patterns, mentioning Python, SQL, and common orchestration tools like Airflow.",{"category":162,"check":163,"severity":30,"summary":164},"Safety","Halt on unexpected state","The provided patterns include error handling, retry mechanisms, and quality checks that would halt the workflow on unexpected states or failures, with reports generated.",{"category":98,"check":166,"severity":30,"summary":167},"Cross-skill coupling","The skill is self-contained and focuses on pipeline generation; it does not implicitly rely on other skills and cross-references are not present.",1778054791500,"This skill generates pipeline code (Python/SQL), scheduling configurations, error handling, monitoring setup, and data quality checks. It provides detailed patterns for extractors, transformers, loaders, and quality checks, outputting a `data-pipeline-spec.md` document and implementation files.","2.0.0","3.4.0","The data-pipeline-builder skill is exceptionally well-designed, adhering to best practices in code generation, documentation, and error handling. It provides comprehensive patterns and a detailed specification document. The only minor area for improvement is the lack of explicit versioning information.",95,"A robust and comprehensive skill for designing and building ETL/ELT data pipelines.",[14,15,16,17,18,19,20],"global","verified",{"codeQuality":179,"collectedAt":180,"documentation":181,"maintenance":183,"security":184,"testCoverage":186},{},1778054779394,{"descriptionLength":182,"readmeSize":8},274,{},{"hasNpmPackage":185,"smitheryVerified":185},false,{"hasCi":185,"hasTests":185},{"updatedAt":188},1778055270278,{"githubOwner":190,"githubRepo":191,"locale":24,"slug":192,"type":193},"onewave-ai","claude-skills","data-pipeline-builder","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,[],[226,255,283,302,337,358],{"_creationTime":227,"_id":228,"community":229,"display":230,"identity":241,"providers":244,"relations":249,"workflow":251},1778053100136.2417,"k172f9k8w7xg3bzb9t320dj0cn866517",{"reviewCount":8},{"description":231,"installMethods":232,"name":233,"sourceUrl":234,"tags":235},"Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.",{},"Data Analysis Skill","https://github.com/bytedance/deer-flow/tree/HEAD/skills/public/data-analysis",[236,237,238,18,239,17,240],"data-analysis","excel","csv","duckdb","analytics",{"githubOwner":242,"githubRepo":243,"locale":24,"slug":236,"type":193},"bytedance","deer-flow",{"extract":245,"llm":247},{"commitSha":246,"license":199},"1336872b15c25d45ebcb7c1cf72369c2bdd53187",{"promptVersionExtension":170,"promptVersionScoring":171,"score":248,"targetMarket":176,"tier":177},96,{"repoId":250},"kd789sm7egx1h0t1jag6zzhcq98656wv",{"anyEnrichmentAt":252,"extractAt":253,"githubAt":252,"llmAt":254,"updatedAt":254},1778053101076,1778053100136,1778053169012,{"_creationTime":256,"_id":257,"community":258,"display":259,"identity":269,"providers":273,"relations":277,"workflow":279},1778053148350.4407,"k178af4x3rgc2d00rcyykvca0x8674dv",{"reviewCount":8},{"description":260,"installMethods":261,"name":262,"sourceUrl":263,"tags":264},"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",[14,16,265,240,266,267,268],"integration","automation","mcp","data-engineering",{"githubOwner":270,"githubRepo":271,"locale":24,"slug":272,"type":193},"claude-office-skills","skills","etl-pipeline",{"extract":274,"llm":276},{"commitSha":275,"license":199},"9c4c7d5cd2813a8936bf2c9fdb174ea883b85a11",{"promptVersionExtension":170,"promptVersionScoring":171,"score":173,"targetMarket":176,"tier":177},{"repoId":278},"kd7fw7xbj58qc2z8whrrjptbed8659db",{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282},1778053151766,1778053148350,1778053561145,{"_creationTime":284,"_id":285,"community":286,"display":287,"identity":295,"providers":296,"relations":300,"workflow":301},1778053148350.4333,"k173svty262n3dwffcxfdgz5px866pa1",{"reviewCount":8},{"description":288,"name":289,"sourceUrl":290,"tags":291},"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",[16,14,292,240,266,293,294],"data-integration","n8n","javascript",{"githubOwner":270,"githubRepo":271,"locale":24,"slug":16,"type":193},{"extract":297,"llm":298},{"commitSha":275,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":299,"targetMarket":176,"tier":177},92,{"repoId":278},{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282},{"_creationTime":303,"_id":304,"community":305,"display":306,"identity":317,"providers":321,"relations":330,"workflow":332},1778053968286.4954,"k179afn14fzy4sejmjf82fgqa9867ck6",{"reviewCount":8},{"description":307,"installMethods":308,"name":309,"sourceUrl":310,"tags":311},"Searches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.",{},"arXiv Search","https://github.com/langchain-ai/deepagents/tree/HEAD/libs/cli/examples/skills/arxiv-search",[312,313,314,315,17,316],"research","data-analytics","arxiv","academic-papers","cli",{"githubOwner":318,"githubRepo":319,"locale":24,"slug":320,"type":193},"langchain-ai","deepagents","arxiv-search",{"extract":322,"llm":324,"smithery":326},{"commitSha":323,"license":199},"b108c71d0c570e16c7050c1eac482e15dc35a5ed",{"promptVersionExtension":170,"promptVersionScoring":171,"score":325,"targetMarket":176,"tier":177},98,{"qualityScore":327,"totalActivations":328,"uniqueUsers":329,"useCount":8,"verified":185},0.7439563,9,8,{"repoId":331},"kd76dna2fvfbnjvzcpd2cwqnyd865xz7",{"anyEnrichmentAt":333,"extractAt":334,"githubAt":335,"llmAt":336,"smitheryAt":333,"updatedAt":336},1778053994907,1778053968286,1778053969344,1778054053159,{"_creationTime":338,"_id":339,"community":340,"display":341,"identity":351,"providers":353,"relations":356,"workflow":357},1778053148350.4656,"k171nxqak0bb4qq89mkfwf02s5867cf6",{"reviewCount":8},{"description":342,"installMethods":343,"name":344,"sourceUrl":345,"tags":346},"Convert PDF files to editable Word documents using pdf2docx",{},"PDF to DOCX Converter","https://github.com/claude-office-skills/skills/tree/HEAD/pdf-to-docx",[347,348,349,350,17],"pdf","docx","conversion","document-processing",{"githubOwner":270,"githubRepo":271,"locale":24,"slug":352,"type":193},"pdf-to-docx",{"extract":354,"llm":355},{"commitSha":275,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":325,"targetMarket":176,"tier":177},{"repoId":278},{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282},{"_creationTime":359,"_id":360,"community":361,"display":362,"identity":372,"providers":374,"relations":377,"workflow":378},1778053148350.4202,"k17a8yhy4bc401x2yjqa1rvgc9867kxm",{"reviewCount":8},{"description":363,"installMethods":364,"name":365,"sourceUrl":366,"tags":367},"Generate complete presentations with AI - from outline to polished slides",{},"AI Slides","https://github.com/claude-office-skills/skills/tree/HEAD/ai-slides",[368,369,370,371,267,17],"presentation","ai","generation","automatic",{"githubOwner":270,"githubRepo":271,"locale":24,"slug":373,"type":193},"ai-slides",{"extract":375,"llm":376},{"commitSha":275,"license":199},{"promptVersionExtension":170,"promptVersionScoring":171,"score":325,"targetMarket":176,"tier":177},{"repoId":278},{"anyEnrichmentAt":280,"extractAt":281,"githubAt":280,"llmAt":282,"updatedAt":282}]