Performs back-of-the-envelope calculations for system capacity planning and architectural decision-making.
Systems Design Estimation is a specialized Claude Code skill that provides frameworks for rapid back-of-the-envelope calculations essential for infrastructure planning. It helps engineers determine Queries Per Second (QPS), storage needs, bandwidth requirements, and latency profiles by applying proven estimation patterns and essential industry benchmarks. Whether you are sizing servers for a new feature or preparing for a high-level system design interview, this skill provides the mathematical models and critical latency numbers every programmer should know to justify architectural choices with data-driven approximations.
主な機能
01Bandwidth and throughput estimation for concurrent user scenarios
02Availability and uptime target calculators for SLA planning
03Automated QPS and peak load calculations for high-traffic services
04Storage and database sizing estimates including replication and index overhead
05Latency benchmark references for hardware and network operations
0612 GitHub stars
ユースケース
01Sizing infrastructure requirements for a new microservice or feature
02Justifying architectural decisions and cloud budget requests with quantitative data
03Preparing for system design technical interviews with standard patterns
