data-engineering
0
numpy-datetime
Date and time handling with datetime64 and timedelta64, including business day offsets and naive time parsing. Triggers: datetime64, timedelta64, busday, time series, naive time.
cuba6112
data-ai
অনুসন্ধান সক্রিয়
স্কিল খুঁজুন
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
জনপ্রিয় অনুসন্ধান
ফলাফল
53,183
এই অনুসন্ধানের সাথে মিলে যাওয়া স্কিল
পৃষ্ঠা
2277
2660টির মধ্যে
কীওয়ার্ড
ai
নাম, ট্যাগ বা বিবরণ দিয়ে খুঁজুন
data-engineering
0
pytest-testing
Pytest testing patterns for data pipelines, Airflow DAGs, and BigQuery queries. Use when writing unit tests for DAG tasks, integration tests with BigQuery, property-based tests with Hypothesis, data contract validation with Pydantic/JSON schemas, performance tests with pytest-benchmark, or snapshot/visual regression tests for data outputs.
ilorozco11
data-ai
data-engineering
0
masterdata-csv-validator
GLOWマスタデータCSVの検証スキル。作成したCSVファイルがDB投入可能か、server/client実装と整合性があるかをテンプレート、DBスキーマと照合してチェックします。マスタデータ、CSV検証、バリデーション、チェックで使用します。
Wonderplanet
data-ai
productivity-tools
0
data-pipeline-monitoring
Monitor and troubleshoot dual-pipeline data collection systems on GCP. This skill should be used when checking pipeline health, viewing logs, diagnosing failures, or monitoring long-running operations for data collection workflows. Supports Cloud Run Jobs (batch pipelines) and VM systemd services (real-time streams).
terrylica
tools
architecture-patterns
0
schema-management
Strategies for managing data structures, versioning, and evolutions across databases and event streams.
AmnadTaowsoam
development
data-engineering
0
cobol-migration-analyzer
Analyzes legacy COBOL programs and JCL jobs to assist with migration to modern Java applications. Extracts business logic, identifies dependencies, generates migration reports, and creates Java implementation strategies. Use when working with mainframe migration, COBOL analysis, legacy system modernization, JCL workflows, or when users mention COBOL to Java conversion, analyzing .cbl/.CBL/.cob files, working with copybooks, or planning Java service implementations from COBOL programs.
DauQuangThanh
data-ai
cms-platforms
0
design-schema
Design complete database schemas with tables, relationships, constraints, and indexes for Supabase. Triggers when user describes data models, entities, or requests schema design.
rdimascio
development
data-engineering
0
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 data against business rules.
egermano
data-ai
data-engineering
0
data-quality-rules
See the main Data Validation Rules skill for comprehensive coverage of data quality rule implementation.
AmnadTaowsoam
data-ai
sql-databases
0
prisma-data-model
Understanding the Prisma schema, core entities, and database operations.
ArtisanClarinets
databases
data-engineering
0
data-engineering
Use when "data pipelines", "ETL", "data warehousing", "data lakes", or asking about "Airflow", "Spark", "dbt", "Snowflake", "BigQuery", "data modeling"
eyadsibai
data-ai
data-engineering
0
pm-04-clean-filter
Apply cleaning and filtering actions based on data quality decisions and generate filtered log artefacts.
Wattysaid
data-ai
data-engineering
0
data-validation-rules
Implementing comprehensive validation rules across database, application, and pipeline layers to ensure data integrity.
AmnadTaowsoam
data-ai
sql-databases
0
schema-validation
Database schema validation tools - SQL syntax checking, constraint validation, naming convention enforcement, and schema integrity verification. Use when validating database schemas, checking migrations, enforcing naming conventions, verifying constraints, or when user mentions schema validation, migration checks, database best practices, or PostgreSQL validation.
vanman2024
databases
data-engineering
0
senior-data-engineer
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
LRYuChi
data-ai
data-engineering
0
altinity-expert-clickhouse-dictionaries
Analyze ClickHouse external dictionaries including configuration, memory usage, reload status, and performance. Use for dictionary issues and load failures.
Altinity
data-ai
monitoring
0
loglens
Query signals pipeline OTLP logs via the loglens Athena-backed CLI. Use when you need to search or inspect signals logs, run opinionated filters (logs/top-errors/schema), or execute raw SQL against the compacted or flat log tables in dev/stage/prod. Triggers include requests mentioning loglens, signals logs, OTLP logs, telemetry alerts, push-server logs, or Athena log queries.
asimihsan
devops
data-engineering
0
aviation-spatial
SpatiaLite database operations for aviation data. Use when building spatial indexes, running proximity queries, importing airspace GeoJSON, or performing geometric calculations on aviation features like finding airports within radius, airspace containment, or obstacle corridor searches.
KitfoxPilot
data-ai
debugging
0
flow-trace
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.
MAF2414
tools