System Design
CheckedDesigns scalable, resilient system architectures based on requirements, considering trade-offs and emerging technologies.
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terminal$ npx skills add wondelai/skills --skill system-design -a claude-code Uses the open-source
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What we know about this skill
Publisher
wondelai
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Install target
Live repository
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Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
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No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
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Pinned to a commit: passed
Scanned wondelai/skills at c172996495.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c172996495
- Manifest
- system-design/SKILL.md
- Scanned
- 21 files, 5,715 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
This skill enables AI agents to design scalable and resilient system architectures following a structured framework. It guides users through a four-step process – scope definition, high-level design, deep dive into critical components, and wrap-up—to ensure systems are appropriately engineered for their intended purpose and scale. The skill emphasizes understanding requirements before proposing solutions and considers trade-offs when selecting architectural building blocks like load balancers, caches, and databases.
When to use it
- When architecting new services or features.
- During system design reviews to assess adherence to best practices.
- To estimate capacity needs for a given application.
- As preparation for system design discussions with technical teams.
Key capabilities
- Four-Step Design Process: Guides users through scoping, high-level design, deep dive, and wrap-up phases.
- Requirements Focus: Prioritizes understanding requirements (functional and non-functional) before architectural decisions.
- Building Block Selection: Provides guidance on choosing appropriate components for distributed systems.
- Tradeoff Analysis: Identifies and acknowledges trade-offs inherent in design choices.
- Scoring System: Evaluates system designs using a 0-10 scoring system based on adherence to principles, providing feedback for improvement.
Example prompts
- "Design a system for handling 1 million daily active users."
- "Review this existing system architecture and rate it (0-10) with specific improvements needed."
- "Walk me through the four steps of designing a microservice for processing image uploads."
Tips & gotchas
- Prioritize Step 1: Never skip the initial scoping phase, as ambiguity in requirements can lead to wasted design effort.
- Explicit Assumptions: Ensure explicit agreement on assumptions before proceeding with any design work.
- Time Allocation: The framework suggests allocating time proportionally across each step (5-10 mins for scope, 15-20 mins for high-level design, etc.).