data-quality-framework
Framework for ensuring data quality
发现 数据库 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
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.
Analyze JSONL data files from humanizer benchmark to identify errors, length issues, and text quality. Use when checking data quality, finding failed entries, or validating pipeline outputs. Supports pre-filter...
Use this agent to coordinate database schema changes between SQLModel, Alembic migrations, and frontend types. User: "Add a new column to the users table" Agent: Use database-schema-coordinator for coordinate...
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt temp...
C4 model architecture diagrams
Work with the spaced repetition learning algorithm and review system
Reproduces the full prefill sensitivity analysis pipeline for reward hacking indicators. Use when evaluating how susceptible model checkpoints are to exploit-eliciting prefills, computing token-based trajectori...
Integrate PioSolver data with the poker training system
Optimización evolutiva y paramétrica basada en Fibonacci y el Número Áureo (phi).
Genetic Algorithms for AI optimization - EvoPrompt, hyperparameter tuning, evolutionary strategies.
Serve models with A/B testing, monitoring, retraining.
AI Engineer building LLM features with focus on reliability, evals, cost control, latency, and user trust.
Practical guide for building production ML systems based on Chip Huyen's AI Engineering book. Use when users ask about model evaluation, deployment strategies, monitoring, data pipelines, feature engineering, c...
UI/UX Designer role responsible for interface and experience design. Activate when creating wireframes, mockups, or component libraries.
Mobile Developer role responsible for its domain tasks. Activate when needed.
Product Owner role responsible for its domain tasks. Activate when needed.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。