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DataShell

DDIA Systems

by wondelai

DDIA Systems is a Data skill for Claude Code, published by wondelai in skills.

1.9K stars195 forkson wondelai/skillsAdded 2026/08/18+2% in starsRepository updated 2026/08/10
agent-skillsai-skillsbusinessclaude-codeclaude-code-marketplaceclaude-code-pluginclaude-code-skillsclaude-pluginsclaude-skillscode-qualityframeworksmarketingproduct-strategyskill-mdskillsmpux
Install in seconds
Install DDIA Systems
Copy DDIA Systems into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/wondelai/skills/tree/main/ddia-systems ~/.claude/skills/ddia-systems

Requires Node.js. Downloads this skill only β€” not the rest of the repository β€” into your Claude Code skills folder.

Without Node.js

git clone https://github.com/wondelai/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
ddia-systems/SKILL.md in wondelai/skills
Installs to
~/.claude/skills/ddia-systems
Collection
One of 25 skills cataloged from this repository
Category
Data β€” 668 skills

What DDIA Systems does

DDIA Systems designs data systems by applying principles for storage engines, replication, partitioning, transactions, and consistency models. Use it when choosing databases, debugging consistency issues, or designing data-intensive applications.

DDIA Systems is cataloged under Data on DirSkills. DDIA Systems comes from a repository tagged agent-skills, ai-skills, business, claude-code and claude-code-marketplace.

Documentation

README

Designing Data-Intensive Applications Framework

A principled approach to building reliable, scalable, and maintainable data systems. Apply these principles when choosing databases, designing schemas, architecting distributed systems, or reasoning about consistency and fault tolerance.

Core Principle

Data outlives code. Applications are rewritten and frameworks come and go, but data persists for decades -- prioritize the long-term correctness, durability, and evolvability of the data layer. Most applications are data-intensive, not compute-intensive: the hard problems are data volume, complexity, and rate of change, and explicit consistency/availability/latency trade-offs separate robust systems from fragile ones.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about DDIA Systems

  • What else does wondelai publish alongside DDIA Systems?

    DDIA Systems is one of 25 skills that DirSkills catalogs from wondelai/skills, the repository it ships in. Its siblings there include 37signals Way, Blue Ocean Strategy and CRO Methodology. Each one is a separate skill with its own page in this directory, installs the same way DDIA Systems does, and is maintained by wondelai in that same repository. The rest of the collection is listed on the wondelai/skills page.

  • How does DDIA Systems compare to other Data skills?

    DDIA Systems ranks #351 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of DDIA Systems against them. Open each page to compare what they document and how they install.

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