Agent skill · Databases

system-design

Design 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", "design Twitter", "design Uber", "design a news feed", "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 (TinyURL, feeds, chat) and back-of

wondelaigithub.com/wondelaiGitHub ↗
claude-codeMIT
Install
npx skills add wondelai/skills --skill system-design --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 16 KB
Bundled scripts: none
Version: 1.4.1
Declared author: wondelai
Path: system-design/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,835
Language: Shell
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# System Design Framework A structured approach to designing large-scale distributed systems. Apply these principles when architecting new services, reviewing designs, estimating capacity, or preparing for system design discussions. ## Core Principle **Start with requirements, not solutions.** Jumping to architecture before understanding constraints produces over- or under-engineered systems. Scalable systems are assembled from well-understood building blocks (load balancers, caches, queues, databases, CDNs) — the skill lies in choosing the right blocks, sizing them with estimates, and owning the tradeoffs each choice introduces. ## Scoring **Goal: 10/10.** Score a design by how many of the eight Quick Diagnostic rows it satisfies — `score = round(passed / 8 × 10)`: 9-10 = all/nearly all rows pass — explicit requirements, real estimates, redundancy, a stated DB-scaling and caching strategy, async via queues, monitoring, and a deployment plan, with tradeoffs named; 5-6 = the design works but skips estimation, redundancy, or operations; <=3 = architecture proposed before requirements or estimates exist. Always state the current score, name the failing diagnostic rows, and give the sp

What's inside
Steps it walks through
  1. Core Principle
  2. Scoring
  3. The System Design Framework
  4. 1. The Four-Step Process
  5. 2. Back-of-the-Envelope Estimation
  6. 3. Building Blocks
  7. 4. Database Design and Scaling
  8. 5. Common System Designs
  9. 6. Reliability and Operations
  10. Common Mistakes
  11. Quick Diagnostic
  12. Further Reading
  13. About the Author
Ships with 6 files
  • references/building-blocks.md
  • references/common-designs.md
  • references/database-scaling.md
  • references/estimation-numbers.md
  • references/four-step-process.md
  • references/reliability-operations.md
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About this skill
What does the system-design skill do?

Design 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", "design Twitter", "design Uber", "design a news feed", "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 (TinyURL, feeds, chat) and back-of

How do I install it?

Run `npx skills add wondelai/skills --skill system-design --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From wondelai/skills, a repository with 1,835 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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