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django-import-export
Use when working with django-import-export
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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Explorer
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metabase
Query and analyze data from Metabase, create/update questions and dashboards, access the Metabase REST API, and troubleshoot Metabase SQL queries. Use when user mentions Metabase, dashboards, metrics, or asks t...
GitHub
data-io-impl
Implement data I/O with immediate DTO conversion using ILoader/ISaver protocols. Use when: building data loaders, result savers, file handlers, model persistence, or any external I/O operations. Triggers: "load...
GitHub
cli-entrypoint
Create CLI entrypoints for pipeline execution with local/SageMaker environment support and parallel processing. Use when user requests "CLI作成", "エントリーポイント", "entrypoint", "scripts/entrypoint.py", "コ...
GitHub
running-eda-process
Runs Exploratory Data Analysis (EDA) following the mandatory validation workflow. Use when performing data analysis, exploring datasets, validating data quality, or when the user mentions EDA, data exploration,...
GitHub
safe-migrate
Safely creates and applies database migrations with automatic destructive operation detection, backup creation, and rollback generation. This skill should be used when creating database migrations, applying sch...
GitHub
rapidata-use
Use for Rapidata Python SDK tasks: authenticate with RapidataClient, submit labeling orders from datasets (compare/classification/ranking/free-text/locate/draw/select-words/timestamp), apply filters/settings/se...
GitHub
sqlmodel-mastery
Comprehensive SQLModel skill for Python database operations with SQL databases. Use when working with SQLModel for (1) Designing database models and table schemas, (2) Creating relationships between tables (for...
GitHub
data-validator
Validates data against specified rules including required field checks, email format validation, and numeric type verification. Use when the user needs to verify data integrity, validate form inputs, or check d...
GitHub
dc-dashboard-config
Create and configure dashboards with portlets (charts/widgets) using DashboardConfig in Drizzle Cube.
GitHub
dc-cube-definition
Create and configure Drizzle Cube semantic layer cube definitions with proper security context, measures, dimensions, and joins.
GitHub
dc-query-building
Build semantic queries with measures, dimensions, filters, and time dimensions for Drizzle Cube.
GitHub
fiftyone
FiftyOne dataset visualization and curation tool via Podman Quadlet. Multi-container architecture with MongoDB sidecar for dataset persistence. GPU-accelerated for ML workflows. Use when users need to configure...
GitHub
backend-queries
Write efficient, secure database queries using parameterized queries, eager loading, and performance optimizations. Use this skill when writing database queries, implementing data retrieval logic, using ORM que...
GitHub
backend--queries
Apply the Agent OS standard for backend queries.
GitHub
backend-migrations
Create and manage database migrations following best practices for reversibility, zero-downtime deployments, and safe schema changes. Use this skill when creating new database migrations, writing migration up/d...
GitHub
database-optimization
Optimize SQL queries, analyze indexes, review Alembic migrations, and identify N+1 problems. Provides query execution plans, index recommendations, and migration best practices for SQLAlchemy async.
GitHub
cobol-to-java-conversion
Convert COBOL applications to Java following mainframe modernization best practices. Handles CICS transactions, batch programs, VSAM files, DB2 integration, and data structure migrations. Use when modernizing C...
GitHub
data-engineer
Build scalable data pipelines, ETL/ELT processes, and data infrastructure. Use when: (1) designing data architectures or lakehouse patterns, (2) building Spark/Kafka/Flink/Beam pipelines, (3) optimizing Snowfla...
GitHub
data-validation
Comprehensive data validation framework for testing schema compliance, data quality, and referential integrity. Validates databases, APIs, data pipelines, and file formats. Generates data quality scorecards wit...
GitHub
data-pipeline
This skill should be used when the user asks to "configure data source", "data from database", "fetch data from API", "scrape web data", "generate training data with LLM", "regenerate data", "data pipeline", "w...
GitHub
galaxy-automation
BioBlend and Planemo expertise for Galaxy workflow automation. Galaxy API usage, workflow invocation, status checking, error handling, batch processing, and dataset management. Essential for any Galaxy automati...
GitHub
data-collector
Pattern for building data source collectors that fetch, transform, and deduplicate incident data from external APIs. Use when adding new data sources, fixing collector bugs, or understanding the data pipeline.
GitHub
drizzle-postgres
Drizzle ORM patterns with PostgreSQL and PostGIS for spatial data. Covers schema definition, queries, migrations, spatial operations, and upsert patterns. Use when working with database operations, schema chang...
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.