architecture-patterns
0
data-migrations-backfill
Zero-downtime patterns for production schema changes and large backfills, including expand/contract, batching, verification, and rollback strategies
AmnadTaowsoam
development
অনুসন্ধান সক্রিয়
স্কিল খুঁজুন
আপনার এজেন্টের জন্য উপযুক্ত সক্ষমতা খুঁজে নিন।
জনপ্রিয় অনুসন্ধান
ফলাফল
53,183
এই অনুসন্ধানের সাথে মিলে যাওয়া স্কিল
পৃষ্ঠা
2281
2660টির মধ্যে
কীওয়ার্ড
ai
নাম, ট্যাগ বা বিবরণ দিয়ে খুঁজুন
data-engineering
0
pm-07-conformance
Evaluate conformance of the event log to discovered models and generate deviation artefacts.
Wattysaid
data-ai
data-engineering
0
dbf-data-analysis
This skill should be used when the user asks to "analyze DBF files", "read DBF data", "query DBF database", "convert DBF to Parquet", "analyze Thai accounting data", "explore legacy database", "run DuckDB queries on DBF", or mentions DBF, Parquet conversion, or Thai legacy accounting systems. Provides comprehensive guidance for reading, converting, and analyzing Thai legacy DBF accounting databases.
ninyawee
data-ai
data-engineering
0
historical-backfill-execution
Execute chunked historical blockchain data backfills using canonical 1-year pattern. Use when loading multi-year historical data, filling gaps in ClickHouse, or preventing OOM failures on Cloud Run. Keywords chunked_backfill.sh, BigQuery historical, gap filling, memory-safe backfill.
terrylica
data-ai
productivity-tools
0
databricks-notebook-manager
Create and manage Databricks notebooks programmatically. Use when generating ingestion code, creating ETL notebooks, executing Databricks workflows, or when user mentions notebook creation, job automation, or data pipeline implementation in Databricks. Handles notebook generation, execution, and results retrieval.
fusionet24
tools
data-engineering
0
clickhouse-cloud-service-setup
Fetch ClickHouse Cloud service details from API (organization ID, service endpoints, configuration). Use when setting up new ClickHouse Cloud services, discovering endpoints, or validating service metadata for gapless-crypto-clickhouse project.
terrylica
data-ai
data-engineering
0
ontology-phase-3-synthesize
Phase 3 of Ontology Builder Pipeline. Synthesizes analysis results into complete Domain Requirement Document (DRD). Use after Phase 2 analysis is complete to generate structured DRD.
a4b-corporation
data-ai
data-engineering
0
snowflake-semanticview
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 semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.
Ditto190
data-ai
cloud
0
moai-platform-neon
Neon serverless PostgreSQL specialist covering auto-scaling, database branching, PITR, and connection pooling. Use when building serverless apps needing PostgreSQL, implementing preview environments, or optimizing database costs.
zellycloud
devops
data-engineering
0
pm-02-ingest-profile
Ingest the event log, normalise schema, and generate an initial data profile with notebook and manifest updates.
Wattysaid
data-ai
data-engineering
0
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: "loader", "saver", "I/O", "file", "parquet", "json", "csv", "persistence", "データ読込", "保存", "永続化", "読み書き". NOT for: data transformation (use processor-impl), business logic (use domain-impl).
sunbluesome
data-ai
cms-platforms
0
schema-patterns
Production-ready database schema patterns for AI applications including chat/conversation schemas, RAG document storage with pgvector, multi-tenant organization models, user management, and AI usage tracking. Use when building AI applications, creating database schemas, setting up chat systems, implementing RAG, designing multi-tenant databases, or when user mentions supabase schemas, chat database, RAG storage, pgvector, embeddings, conversation history, or AI application database.
vanman2024
development
productivity-tools
0
schema-drift-handling
See the main Schema Drift Detection skill for comprehensive coverage of schema drift detection and management.
AmnadTaowsoam
tools
cms-platforms
0
spec-writing-database
Writes database schema specifications using Mermaid ER diagrams and defines table structures for multi-tenant entities. Use when designing database schemas, creating entity-relationship diagrams, or specifying database constraints for GloboTicket features.
michaellperry
development
data-engineering
0
athena-queries
Run AWS Athena queries against telemetry data. Use when executing SQL against telemetry-parser-db (raw Parquet from telemetry-parser-service) or telemetry_alerts (DBT-transformed tables). Also for Glue catalog exploration, partition debugging, or filtering by $path pseudo-column.
asimihsan
data-ai
cms-platforms
0
backend-migrations
Create and manage database migrations with reversible up/down methods, zero-downtime deployment strategies, and proper schema versioning. Use this skill when creating database migration files, altering table schemas, adding or modifying database indexes, or implementing data migrations. Use when working with migration tools like TypeORM migrations, Sequelize migrations, Alembic (Python), Rails migrations, Flyway, or Liquibase. Use when writing migration files (e.g., YYYYMMDDHHMMSS_migration_name.ts, 001_create_table.sql, versions/*.py) or when modifying database schema in a version-controlled manner. Use when handling backwards compatibility for high-availability deployments or when separating schema changes from data migrations.
maksimtereshin
development
sql-databases
0
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/down methods, implementing schema changes (adding/removing tables, columns, indexes, constraints), performing data migrations or transformations, refactoring database structure, implementing backwards-compatible migrations, creating indexes on large tables, renaming database objects, or working with migration files in directories like migrations/, db/migrate/, alembic/versions/, or similar. Use when working with ORMs like Sequelize, TypeORM, Prisma, SQLAlchemy, ActiveRecord, Django ORM, or raw SQL migration files.
tlabs-xyz
databases
architecture-patterns
0
pact-database-patterns
CODE PHASE (Database): Data layer implementation patterns and best practices. Provides schema design patterns, query optimization strategies, indexing guidelines, data integrity constraints, migration patterns, and database security practices. Use when: designing schemas, writing queries, optimizing performance, planning migrations, implementing data validation, ensuring data integrity.
v4lheru
development
data-engineering
0
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, start, or manage FiftyOne for dataset analysis.
atrawog
data-ai