trade-off

trade-off is a System design & architecture decisions skill for AI agents, published by ReviewStage in the stage-cli repository on GitHub. Skillspace rates trade-off D (58/100) and it passed the safety scan; the rating is based on static analysis only.

Use at any stage — planning, before implementing, or reviewing code that's already written — to surface high-level trade-offs that could significantly simplify the work. Scans two layers in strict priority order. First, user-facing behavior (features, flows, states, settings, notifications, undo, real-time, bulk ops) — cutting a behavior removes the architecture and code behind it. Second, architectural design (queues, caches, background jobs, new packages, new tables, new services, streaming, real-time infra) — cutting an architectural piece removes whole categories of implementation. Stops there; code-level simplification is outside scope. Proactively invoke whenever the scope of a task looks like it could grow, whenever you catch yourself about to add a queue, cache, new package, new table, new service, or behavior that wasn't explicitly requested, or when looking back at a recent diff that feels larger than the task warranted.

Grade

D

Quality

58 / 100

Safety

Passed

GitHub stars

246

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.