Découvrez les skills devops data engineering, comparez leurs dépôts et consultez leurs instructions.
Supabase database operations for Everest Capital projects (BidDeed.AI, ZoneWise, Life OS). Includes query building, checkpoint management, insights logging, and table schemas. Connection to mocerqjnksmhcjzxrewo...
Context management system for solving compaction problems. Provides TLDR summaries, conversation tracking, and efficient post-compaction recovery. Triggers on "/baton".
Use when working with DuckDB databases, Makefiles, or building/deploying notebooks. Triggers on DuckDB queries, database creation, Makefile editing, make targets (build, data, etl), GitHub Actions workflows, CI...
Python specialist for Faiston One Platform. Use when writing FastAPI endpoints, Google ADK agents, async patterns, Pydantic models, and Lambda handlers. PROACTIVE for code review and refactoring.
Create dashboards with KPIs and real-time metrics.
Complex task decomposition and workflow orchestration specialist. Use PROACTIVELY for multi-step projects, ChromaDB integration, semantic search architecture, tool/agent coordination, and knowledge base design....
Temporal Cloud managed service documentation. Use for deploying workflows to Temporal Cloud, managing namespaces, certificates, API keys, users, billing, and using the tcld CLI.
Activates when user requests performance optimization, N+1 query analysis, caching strategy design, database tuning, or scalability assessment. Do NOT use for security audits. Examples: 'Optimize this slow quer...
Kafka producer/consumer patterns with at-least-once semantics, DLQ topics, and schema evolution. Use when building event-driven features or diagnosing lag/dup/replay issues.
Best practices and conventions for creating and maintaining Airflow DAGs, including task naming, flow patterns, and error handling.
Design event sourcing, CQRS, messaging, and saga orchestration.
Comprehensive Apache Kafka skill for building event-driven architectures from hello world to professionstal production systems. Provides guidance on Kafka setup, topic management, producer/consumer implementati...
loads large data only when needed
Investigate missing SST (NoSuchKey) incidents in TiKV/TiFlash/S3 logs. Use when you need to trace an SST ID across pods, map it to shard_id/region_id, correlate compaction and cleanup events, and update investi...
reduces data transfer size
Framework for ensuring data quality
Sync delta specs from a change to main specs. Use when the user wants to update main specs with changes from a delta spec, without archiving the change.
Design dimensional models and fact tables.
Clean data modeling with Pydantic, strict typing, and database hygiene. Use when designing data structures or working with storage.
Otimização e padronização da interação com o banco de dados Supabase e engenharia de dados.
Comprehensive guide and patterns for migrating Apache Airflow 2.x workflows to Airflow 3.x, covering import changes, deprecated features, and new paradigms like Asset scheduling and TaskFlow API.
Troubleshoot Kafka, ZooKeeper, and Broker issues. Use when debugging service failures, connection issues, or unexpected errors in the Kafka cluster.
Interactive learning guide for stream processing concepts from DDIA Chapter 11. Use when the user wants to learn about stream processing, messaging systems, event-driven architectures, Kafka, or needs help with...
Implement change data capture and event-driven sync.
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.