data-engineering
0
elt-modeling
Comprehensive guide to ELT (Extract, Load, Transform) modeling patterns, dimensional modeling, fact and dimension tables, and data warehouse design
AmnadTaowsoam
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
2280
2660টির মধ্যে
কীওয়ার্ড
ai
নাম, ট্যাগ বা বিবরণ দিয়ে খুঁজুন
sql-databases
0
postgres-test
Automated PostgreSQL DB construction and SQL testing for immutable data models. Sets up PostgreSQL container with project-specific schema/data, executes all queries, and generates comprehensive test reports. Use when validating DDL generation results or testing query examples against real database. Triggers include "PostgreSQLで検証", "SQLをテスト", "クエリを実行", "データベースで動作確認", "DDLを検証".
tis-abe-akira
databases
data-engineering
0
fof-preflight
Diff-aware guardrail checker for Fear-of-Falling (FOF) changes; fails closed on raw data edits, Kxx intro/req_cols mismatches, and output discipline risks.
Tupatuko2023
data-ai
full-stack
0
drizzle-orm
Drizzle ORM for TypeScript - type-safe SQL queries, schema definitions, migrations, and relations. Use when building database layers in Next.js or Node.js applications.
NaimalArain13
development
productivity-tools
0
astrolabe-workflow
Workflow execution framework with state transitions, bulk operations, rule-based triggers, and authorization. Use when implementing entity workflows with CRUD operations requiring state management and audit trails.
astrolabe-apps
tools
productivity-tools
0
shelby-storage-integration
Expert on integrating Shelby Protocol decentralized storage into applications. Helps with use case evaluation, architecture design, migration strategies, cost optimization, performance tuning for video streaming, AI training, data analytics, content delivery, and read-heavy workloads. Triggers on keywords integrate Shelby, decentralized storage integration, video streaming storage, AI training data, data analytics storage, migration to Shelby, storage architecture, content delivery, Shelby use case.
gounthar
tools
automation-tools
0
konveyor-rules
Generate Konveyor analyzer migration rules from migration guides using AI
tsanders-rh
tools
sql-databases
0
data-quality-test-generator
Generate comprehensive dbt test suites following FF Analytics data quality standards and dbt 1.10+ syntax. This skill should be used when creating tests for new dbt models, adding tests to existing models, standardizing test coverage, or implementing data quality gates. Covers grain uniqueness, FK relationships, enum validation, and freshness tests.
zazu-22
databases
data-engineering
0
reading-plan-designer
Design and implement Bible reading plans for the KR92 Bible Voice project. Use when: - Creating new reading plans (7-day, 30-day, yearly) - Adding daily readings to existing plans - Generating reading plan SQL migrations - Understanding the reading plan data model - Designing reading sequences (chronological, topical, book-based) - Validating reading reference formats Triggers: "reading plan", "lukusuunnitelma", "daily readings", "create plan", "add readings"
Spectaculous-Code
data-ai
productivity-tools
0
output-meta-post-flight
Post-flight validation for Output SDK workflow operations. Systematic verification of step completion, convention compliance, quality validation, and deliverable verification.
growthxai
tools
data-engineering
0
kafka-streaming
Comprehensive guide to Apache Kafka for real-time data streaming including topics, producers, consumers, stream processing, and production best practices
AmnadTaowsoam
data-ai
data-engineering
0
dagster-orchestration
ALWAYS USE when working with Dagster assets, resources, IO managers, schedules, sensors, or dbt integration. CRITICAL for: @asset decorators, @dbt_assets, DbtCliResource, ConfigurableResource, IO managers, partitions. Enforces CATALOG-AS-CONTROL-PLANE architecture - ALL Iceberg writes via catalog (Polaris/Glue). Provides pluggable orchestration patterns abstractable to Airflow/Prefect. Compute abstraction: DuckDB (default), Spark, Snowflake - all via dbt.
Obsidian-Owl
data-ai
productivity-tools
0
telemetry-validator-agent
AI-powered Telemetry Validator Agent that verifies instrumentation works in sandbox environments. Use when: (1) Validating OTel spans are emitted correctly, (2) Verifying correlation headers in Kafka messages, (3) Confirming OpenLineage events for data pipelines, (4) Generating validation evidence for merge approval. Triggers: "validate telemetry", "verify instrumentation", "check OTel spans", "validate correlation headers".
Kart-rc
tools
productivity-tools
0
opensolve-pipe-data-model
OpenSolve Pipe component chain data model conventions. Use when creating or modifying components, piping segments, or project structures.
ccirone2
tools
data-engineering
0
dbt-model-builder
Create dbt models following FF Analytics Kimball patterns and 2×2 stat model. This skill should be used when creating staging models, core facts/dimensions, or analytical marts. Guides through model creation with proper grain, tests, External Parquet configuration, and per-model YAML documentation using dbt 1.10+ syntax.
zazu-22
data-ai
productivity-tools
0
kcc-data-ai
Use for Supabase schema, RLS policies, API design, and AI integration settings.
takato23
tools
sql-databases
0
mysql-optimization
MySQL performance optimization guide for Spring Boot/JPA. Use when reviewing database code, discussing index design, query optimization, N+1 problems, JPA/Hibernate tuning, or analyzing EXPLAIN plans. Complements /mysql-performance and /optimize-query commands.
xinqilin
databases
data-engineering
0
supabase-seeding
Database seeding toolkit for Supabase projects. Use when: (1) Creating seed data files, (2) Populating lookup/reference tables, (3) Generating test data, (4) Bulk loading data with COPY, (5) Running seed files against database, (6) Managing large seed files with DVC
ninyawee
data-ai
data-engineering
0
data-pipeline-patterns
Follow these patterns when implementing data pipelines, ETL, data ingestion, or data validation in OptAIC. Use for point-in-time (PIT) correctness, Arrow schemas, quality checks, and Prefect orchestration.
colingwuyu
data-ai