发现 devops data engineering 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Build, deploy, monitor, and troubleshoot production Nexla data pipelines via Python SDK or REST API. Use for flow setup, data transformation pipelines, schema management, access control, credential rotation, ba...
MapReduce root/orchestrator with a mandatory parallel Verify phase, narrative-first reduction, deterministic artifact lifecycle management (.rlm run/archives), and concurrency safety (per-run locks + cleanup lo...
Contract-based MapReduce worker for executing a task (may be broad) under optional hint_paths, producing a narrative report. Use when an orchestrator invokes a map worker (llm_query role) many times in parallel...
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook...
Master declarative, no-code data dashboards with Lumen YAML specifications. Use this skill when building standard data exploration dashboards, connecting multiple data sources (files, databases, APIs), creating...
Master AI-powered natural language data exploration with Lumen AI. Use this skill when building conversational data analysis interfaces, enabling natural language queries to databases, creating custom AI agents...
Review Azure Data Explorer dashboards for Copilot CLI metrics and update Google Sheets scorecard. Connects to existing Chrome session for authentication.
Production-grade database design skill for SQL/NoSQL selection, schema design, indexing, and query optimization
Production-grade event-driven architecture skill for Kafka, RabbitMQ, event sourcing, CQRS, and message patterns
SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.
Data warehouse design mastery with star schema, dimensional modeling, fact/dimension tables, slowly changing dimensions, and enterprise best practices. Complete schema examples included.
Systematic CSV import process - discover structure, design schema, standardize formats, import to database, detect quality issues (component skill for DataPeeker analysis sessions)
Component skill for systematic SQL query development in DataPeeker analysis sessions
Use when working with SQLite databases in DataPeeker analysis sessions - querying data, importing CSVs, exploring schemas, formatting output, or optimizing performance. Provides task-oriented guidance for effec...
Systematic data quality remediation - detect duplicates/outliers/inconsistencies, design cleaning strategy, execute transformations, verify results (component skill for DataPeeker analysis sessions)
Master data visualization with chart selection, dashboard design, Tableau, Power BI, and effective data storytelling.
Master SQL for data analysis with complex queries, joins, aggregations, window functions, and query optimization.
Use SAP-RPT-1-OSS open source tabular foundation model for predictive analytics on SAP business data. Handles classification and regression tasks including customer churn prediction, delivery delay forecasting,...
This skill should be used when the user asks to "update TBC schemas", "regenerate schemas from kicker", "sync schemas with new TBC version", "extract schemas from kicker-aggregated.json", "update template schem...
This skill should be used when working with the CRM PostgreSQL database for sales, contacts, companies, and opportunities. Use this skill when the user asks to insert, update, query, or analyze data in the CRM...
Create and manage data pipelines using the FlowerPower framework with Hamilton DAGs and uv. Use when users request creating flowerpower projects, pipelines, Hamilton dataflows, or ask about flowerpower configur...
Use PROACTIVELY when users need guaranteed schema compliance or validated tool inputs from Anthropic's structured outputs feature. Expert advisor for choosing between JSON outputs (data extraction/formatting) a...
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queri...
工作流过程日志格式规范和写入模式。定义 JSONL 和文本两种格式的日志结构、事件类型、级别定义和写入方法。
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。