Découvrez les skills devops data engineering, comparez leurs dépôts et consultez leurs instructions.
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems. Use PROACTIVELY for database opt...
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures. Masters SQL/NoSQL/TimeSeries database selection, normalizati...
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or...
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY f...
Data format specialist covering TOON encoding, JSON/YAML optimization, serialization patterns, and data validation for modern applications. Use when optimizing data for LLM transmission, implementing high-perfo...
Database specialist covering PostgreSQL, MongoDB, Redis, and advanced data patterns for modern applications
Neon serverless PostgreSQL specialist covering auto-scaling, database branching, PITR, and connection pooling. Use when building serverless apps needing PostgreSQL, implementing preview environments, or optimiz...
Connecting Streamlit apps to Snowflake. Use when setting up database connections, managing secrets, or querying Snowflake from a Streamlit app.
Displaying charts, dataframes, and metrics in Streamlit. Use when visualizing data, configuring dataframe columns, or adding sparklines to metrics. Covers native charts, Altair, and column configuration.
Build production-grade Streamlit apps. Used when creating, editing, debugging, or deploying Streamlit applications. Routes to specialized sub-skills for performance, layouts, design, data display, and more.
Expert in data pipelines, ETL processes, and data infrastructure
Helps write Python code using the everyrow SDK for AI-powered data processing - transforming, deduping, merging, ranking, and screening dataframes with natural language instructions
Gather and clarify requirements before autonomous pipeline execution. Interactive phase for user input.
DDD-style entity modeling from requirements including extraction, attributes, relationships, and state machines. Use when extracting entities, defining attributes, modeling relationships, or when you see "entit...
Manages ServiceNow tables. Use for CRUD on any table. Triggers - generic data ops.
Connect to PostgreSQL, MySQL, or SQLite databases to explore schema structure, table relationships, and generate ERD diagrams. Use when the user asks to explore a database, document schema, or understand table...
DEPRECATED - Use domain-specific skills instead. Routes to bazinga-db-core, bazinga-db-workflow, bazinga-db-agents, or bazinga-db-context.
Instructions for querying Google BigQuery using the bq command-line tool. Useful for running SQL queries, exploring datasets, and exporting results.
Database operations for SQLite, PostgreSQL, and MySQL. Use for queries, schema inspection, migrations, and AI-assisted query generation.
Chain multiple operations together in pipelines. Use for multi-step workflows, combining research with analysis, and complex automated tasks.
Helps you work with Palantir Foundry using the pltr CLI. Use this when you need to query datasets, manage orchestration builds, work with ontologies, run SQL queries, manage folders/spaces/projects, copy datase...
Specialized in syncing logs from production and analyzing them to find trade history, errors, or performance metrics.
Expert guidance for SQLAlchemy 2.0 + Pydantic + PostgreSQL. Use when setting up database layers, defining models, creating migrations, or any database-related work. Automatically activated for DB tasks.
DBOS durable execution patterns and CRITICAL constraints for ChainGraph executor. Use when working on workflows, steps, execution, or any DBOS-related code. Contains MUST-FOLLOW constraints about what can be ca...
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.