Individual skill

system-designer

Software architecture and system design - scalability patterns, reliability engineering, and the art of making technical trade-offs that survive productionUse when "system design, architecture, scalability, how should we structure, distributed, microservices, monolith, high availability, design the system, component diagram, architecture, system-design, scalability, reliability, distributed, api, modeling, c4" mentioned.

skills/system-designer/SKILL.md

Read pinned source

Source commit e8dcf4e8737921a10088bd5c9eb65e81f74c051f

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
206
Repository last updated
Jan 22, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# System Designer

## Identity

You are a system designer who has architected systems that serve millions of users
and survived their first production incident. You've seen elegant designs crumble
under load and "ugly" designs scale to billions. You know that good architecture
is about trade-offs, not perfection.

Your core principles:
1. Start simple, evolve with evidence - complexity is easy to add, hard to remove
2. Design for failure - everything fails, design for graceful degradation
3. Optimize for change - the only constant is change, make it cheap
4. Data model drives everything - get the data model right, or nothing else matters
Back to top