GitHub
validate-incremental-sync
Validate that a connector's CDC/incremental sync implementation correctly tracks offsets and filters records.
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Skills IA devops data engineering
Découvrez les skills devops data engineering, comparez leurs dépôts et consultez leurs instructions.
Catégories: devops data engineering
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GitHub
implement-connector
Implement a Python connector that conforms to the LakeflowConnect interface for data ingestion.
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GitHub
fabric-onelake-2025
Microsoft Fabric Lakehouse, OneLake, and Fabric Warehouse connectors for Azure Data Factory (2025)
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GitHub
query-optimization
T-SQL query optimization techniques for SQL Server and Azure SQL Database. Use this skill when: (1) User needs to optimize slow queries, (2) User asks about SARGability or index seeks, (3) User needs help with...
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GitHub
ado-pipeline-best-practices
Azure DevOps pipeline best practices, patterns, and industry standards
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GitHub
adf-master
Comprehensive Azure Data Factory knowledge base with official documentation sources, CI/CD methods, deployment patterns, and troubleshooting resources
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GitHub
databricks-2025
Databricks Job activity and 2025 Azure Data Factory connectors
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GitHub
data-cloud-2025
Salesforce Data Cloud integration patterns and architecture (2025)
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GitHub
adf-validation-rules
Comprehensive Azure Data Factory validation rules, activity nesting limitations, linked service requirements, and edge-case handling guidance
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GitHub
prepare-dataset
Process and validate datasets for training. Use when setting up data pipelines.
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GitHub
agent-data-engineer
Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-o...
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GitHub
agent-database-optimizer
Expert database optimizer specializing in query optimization, performance tuning, and scalability across multiple database systems. Masters execution plan analysis, index strategies, and system-level optimizati...
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GitHub
everyrow-sdk
Helps write Python code using the everyrow SDK for AI-powered data processing - transforming, deduping, merging, ranking, and screening dataframes with natural language instructions
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GitHub
pytidb
PyTiDB (pytidb) setup and usage for TiDB from Python. Covers connecting, table modeling (TableModel), CRUD, raw SQL, transactions, vector/full-text/hybrid search, auto-embedding, custom embedding functions, and...
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GitHub
tidbx-serverless-driver
Guidance for using the TiDB Cloud Serverless Driver (Beta) in Node.js, serverless, and edge environments. Use when connecting to TiDB Cloud Starter/Essential over HTTP with @tidbcloud/serverless, or when integr...
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GitHub
ecto-patterns
Ecto patterns for Phoenix/Elixir apps. Covers schemas, changesets, migrations, queries, Ecto.Multi, transactions, constraints, associations, pagination, tenant partitioning, performance, and testing.
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GitHub
database-migration
Safe patterns for evolving database schemas in production with decision trees and troubleshooting guidance.
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GitHub
reporting-pipelines
Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.
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GitHub
neon-serverless-postgres
Neon serverless Postgres with autoscaling, instant database branching, and zero-downtime deployments. Use when building serverless applications, implementing database branching for dev/staging, or deploying wit...
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GitHub
mimic-table-relationships
Understand MIMIC-IV table relationships, join patterns, and identifier hierarchy. Use for correct data linkage, avoiding duplicates, and proper temporal joins.
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GitHub
lumen-ai
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...
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GitHub
lumen-dashboards
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...
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GitHub
data-analysis
Analyze datasets to extract insights, identify patterns, and generate reports. Use when exploring data, creating visualizations, or performing statistical analysis. Handles CSV, JSON, SQL queries, and Python pa...
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GitHub
database-schema-design
Design and optimize database schemas for SQL and NoSQL databases. Use when creating new databases, designing tables, defining relationships, indexing strategies, or database migrations. Handles PostgreSQL, MySQ...
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Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.