system-design

system-design is a System design & architecture decisions skill for AI agents, published by pinchen147 in the system-design-skill repository on GitHub. Skillspace rates system-design C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Design or evolve a production system from repository evidence, measurable requirements, capacity math, protected invariants, and explicit trade-offs. Reads an existing codebase as the current architecture, closes the requirements it cannot recover on its own, then draws structurally distinct candidates and recommends one with a chained evidence argument. Produces an interactive HTML report, a structured design.json, and a durable DESIGN.md a later session can resume. In an existing repository it also audits the implementation against the intended architecture and records the debt it finds, each with a remedy and its evidence. Use for repository architecture work, greenfield systems, scaling and sharding plans, datastore or consistency choices, capacity and cost sizing, recording a decision as an ADR, or auditing a system that has drifted from its design. Answers directly when the numbers already settle the choice instead of manufacturing a document.

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

22

Unproven: rated by static analysis only, not yet compared head-to-head.

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