GitHub
performing-eda
Conducts Exploratory Data Analysis (EDA) on datasets. Use when the user asks to "explore", "clean", or "visualize" a new CSV or dataset.
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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database
Database operation rules (SeaORM, migrations, transaction rules, PostgreSQL). Use when working with database, creating migrations, using SeaORM, asking about DB operations, schema changes, queries, or entity de...
GitHub
backend-queries
Write secure, performant database queries using parameterized queries, eager loading, proper indexing, and transactions. Use this skill when writing database query code, ORM query methods, SQL statements, or da...
GitHub
postgresql
PostgreSQL DBA skill for schema design review, indexing, query tuning (EXPLAIN/ANALYZE), vacuum/autovacuum, concurrency/locking, partitioning, backup/restore, replication/HA, and safe migrations. Use for tasks...
GitHub
data-warehouse
Data warehouse (大数据/数仓) ops skill for designing and operating analytical data platforms. Use for tasks like defining source-of-truth, building ETL/ELT pipelines, dimensional modeling (star schema), data qu...
GitHub
streaming-output-mcp
Stream structured content to persistent SQLite storage with automatic session break recovery. Core principle: The content IS the state. Every stream_write is automatically persistent. Supports multi-format expo...
GitHub
data-model-designer
概念データモデル（CDM）、論理データモデル（LDM）、物理データモデル（PDM）を段階的に設計・出力するSkill。 「データモデルを作って」「ER図を書いて」「テーブル設計して」「DDLを生成して」「エンティティを整理して」「...
GitHub
workspace-isolation-audit
Use when asked to audit or fix Supabase queries to ensure every query filters by workspace_id and workspace access is validated.
GitHub
database-patterns
Provides Prisma-specific patterns for soft delete, transactions, optimistic locking, bulk operations, and performance optimization. This skill should be used when implementing data persistence, handling concurr...
GitHub
repository-pattern
Provides general guidance for implementing data access layers in backend applications. This skill should be used when designing repositories, implementing query methods, or managing database access patterns.
GitHub
tachikoma-schema
Analyze a Context Lake workspace and propose schema improvements. Use when asked to run schema cleanup, analyze workspace structure, create or update schema.yaml, or identify entity types.
GitHub
supabase-engineer
Database specialist - handles RLS policies, migrations, type generation, and Supabase integration patterns.
GitHub
dataclass-optimization
Python dataclass best practices: slots, frozen, validation. Trigger when optimizing dataclasses or creating config classes.
GitHub
convex-development
Expert guidance for Convex backend development including queries, mutations, actions, schema design, and real-time database patterns. Use when working with Convex functions, database operations, or serverless b...
GitHub
url-parameter-parser
Parse URLs in CSV files and extract query parameters as new columns. Use when working with CSV files containing URLs that need parameter extraction and analysis.
GitHub
schema-validator
校验页面实例与Schema定义的一致性（类型/约束/安全），并给出可发布结论。保存页面、预发布检查或批量体检时调用。
GitHub
database-operations
PostgreSQL database patterns and Data Gateway compliance
GitHub
log-analyzer
Analyze application logs to detect errors, patterns, anomalies, and generate insights. Use when troubleshooting issues or analyzing system behavior.
GitHub
sql-query-helper
Generate, optimize, and explain SQL queries with best practices. Use when writing database queries or optimizing SQL performance.
GitHub
synthetic-data-generator
テスト用の合成データ生成スキル。リアルなユーザーデータ、トランザクション、ログ、APIレスポンス等を生成。GDPR準拠、フェイカー連携、スキーマベース生成、時系列データ、異常データ生成に対応。
GitHub
go-temporal
Expert guidance for building workflows and activities with Temporal in Go. Use when working with Temporal SDK, designing durable workflows, handling retries, implementing saga patterns, or debugging Temporal ap...
GitHub
gcp-bq-table-management
Use when creating BigQuery tables, implementing partitioning or clustering, managing table schemas, or optimizing table structure. Covers time-based partitioning, range partitioning, clustering strategies, DDL...
GitHub
data-export-formats
Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.
GitHub
gcp-bq-data-loading
Use when loading data into BigQuery from CSV, JSON, Avro, Parquet files, Cloud Storage, or local files. Covers bq load command, source formats, schema detection, incremental loading, and handling parsing errors...
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.