DDIA Systems
Skill Verified ActiveDesign data systems by understanding storage engines, replication, partitioning, transactions, and consistency models. Use when the user mentions "database choice", "replication lag", "partitioning strategy", "consistency vs availability", "stream processing", "ACID transactions", "eventual consistency", or "LSM tree vs B-tree". Also trigger when choosing between SQL and NoSQL, designing data pipelines, or debugging distributed system consistency issues. Covers data models, batch/stream processing, and distributed consensus. For system design, see system-design. For resilience, see release-it.
To provide principled guidance and a structured framework for designing reliable, scalable, and maintainable data systems by understanding core concepts and trade-offs.
Features
- Expert guidance on data models and query languages
- Explanation of storage engines (LSM vs B-trees)
- In-depth coverage of replication strategies and consistency models
- Principles for partitioning and scaling data
- Guidance on transactions, batch, and stream processing
Use Cases
- Choosing the right database for a specific problem
- Designing schemas and data models that scale
- Architecting distributed systems with fault tolerance
- Debugging consistency issues in data pipelines
- Understanding trade-offs between consistency, availability, and latency
Non-Goals
- Implementing specific database technologies
- Providing operational runbooks for databases
- Writing code for specific data pipelines
Workflow
- Understand core data system principles (models, storage, replication, partitioning, transactions, processing, reliability)
- Apply principles to design new systems or evaluate existing ones
- Use provided diagnostic questions and common mistake analyses
- Consult reference files for deeper dives into specific topics
Installation
First, add the marketplace
/plugin marketplace add wondelai/skills/plugin install skills@wondelai-skillsQuality Score
VerifiedSimilar Extensions
System Design
99Design scalable distributed systems using structured approaches for load balancing, caching, database scaling, and message queues. Use when the user mentions "system design", "scale this", "high availability", "rate limiter", "design a URL shortener", "system design interview", "capacity planning", or "distributed architecture". Also trigger when estimating infrastructure requirements, choosing between microservices and monoliths, or designing for millions of concurrent users. Covers common system designs and back-of-the-envelope estimation. For data fundamentals, see ddia-systems. For resilience, see release-it.
V3 Ddd Architecture
100Domain-Driven Design architecture for claude-flow v3. Implements modular, bounded context architecture with clean separation of concerns and microkernel pattern.
Pathfinder
100Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts.
Understand
100Analyze a codebase to produce an interactive knowledge graph for understanding architecture, components, and relationships
Cloud Architect
100Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost optimization, disaster recovery, landing zones, security architecture, serverless design.
API Design Patterns
100Comprehensive API design patterns covering REST, GraphQL, gRPC, versioning, authentication, and modern API best practices