airflow-expert
Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling
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Expert-level Apache Airflow orchestration, DAGs, operators, sensors, XComs, task dependencies, and scheduling
Expert-level Databricks platform, Apache Spark, Delta Lake, MLflow, notebooks, and cluster management
Expert-level Snowflake data warehouse platform, virtual warehouses, data sharing, streams, tasks, and SQL optimization
Expert-level Apache Kafka, event streaming, Kafka Streams, and distributed messaging
Expert-level Tableau Desktop/Server, calculated fields, LOD expressions, dashboards, data blending, and performance optimization
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
Extract and process BSEE (Bureau of Safety and Environmental Enforcement) production data. Use for querying oil/gas production data by API number, block, lease, or field with automatic data normalization and ca...
Trace data flow across files from source to sink. Use for cross-file taint analysis, understanding how user input reaches dangerous sinks, and documenting vulnerability paths.
Prisma schema design and database operations for IntelliFill. Use when modifying database schema, writing queries, or managing migrations.
Bull queue setup, worker processes, job lifecycle, error handling, retries, progress reporting, Redis connection management, and queue patterns for OCR and knowledge processing
Design PostgreSQL schemas with migrations, seeding, and documentation. Use when creating tables, writing migrations, or setting up database structure.
Executive-grade data analysis with pandas/polars and McKinsey-quality visualizations. Use when analyzing data, building dashboards, creating investor presentations, or calculating SaaS metrics.
Tool for managing Neon Postgres databases. Use for listing projects, inspecting schema, and running queries.
Effect Schema conventions and patterns. Triggers on Schema class creation, tagged unions, enums, type guards, or test fixtures using Effect Schema.
Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate se...
This skill should be used when the user asks to "work with polars", "create a dataframe", "use lazy evaluation", "migrate from pandas", "optimize data pipelines", "read parquet files", "group by operations", or...
Track complex, multi-session work with dependency graphs using beads issue tracker. Use when work spans multiple sessions, has complex dependencies, or requires persistent context across compaction cycles. For...
SCALAR hierarchy bidirectional sync patterns for Prometheus. Provides: (1) Canonical data store patterns, (2) Deterministic numbering (1.2.3 format), (3) LessonEditor ↔ ScalarDock sync, (4) Topic/Subtopic CRUD...
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Query internal data services to answer well-scoped questions, producing results and artifacts that are safe to share and easy to re-run. Use when stakeholders need metrics, trends, or data slices from Supabase,...
Load when working on data pipelines, datasets, reproducibility, or data infrastructure topics. Contains best practices for data engineering, ETL/ELT patterns, and ensuring reproducible data workflows.
AGGRESSIVELY use TOON v2.0 format for biggish regular data (≥5 items, ≥60% uniform). Auto-applies to tables, logs, events, transactions, analytics, API responses, database results. Supports 3 array types (inlin...
Generate Firestore data migration scripts for schema changes, field additions, and data transformations. Use when migrating data, adding fields, or restructuring collections.
Safe database exploration using Laravel Boost tools. Use for querying data, understanding schema, checking records, and debugging data issues. Auto-triggers on "query database", "check data", "find records", "d...
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.