Mostly efficient and specialized, but the Step 2 profile table repeats the identical '[k6 test types]' citation link across five consecutive rows, and some explanatory prose (e.g. the open/closed and burn-rate paragraphs) could be tightened without losing the decision-relevant detail.

Provides concrete decision rules, an executable JavaScript threshold snippet, explicit formulas (budget_events = (1 - SLO_target) x total_events_in_window), worked tables, and a copy-paste output-format template — fully actionable guidance.

Clear Step 1–5 sequence with explicit validation checkpoints: smoke 'gates the rest' so failures invalidate later results, and 'a threshold that cannot be traced back this way is a guess' supplies a traceability check, with abort-on-fail guidance as the feedback signal.

The body is an overview that delegates runner-specific executor names and the full worked example to references/runners.md (verified present), one level deep and clearly signaled, with content appropriately split rather than nested.

Lists multiple concrete actions: 'named scenario matrix', 'load profile (smoke, average-load, stress, soak, spike, breakpoint)', 'open or closed workload injection model', 'threshold expression', and 'error-budget calculation' — matching the 'lists multiple specific concrete actions' anchor.

Explicitly answers both 'what' (the artifact and its components) and 'when' via 'Use when an SLO document and an endpoint list both exist but nobody has decided which load runs to make…', matching the explicit-trigger anchor.

Natural terms a user needing this would say appear throughout: 'SLOs', 'endpoint traffic mix', 'load runs', 'what shape of load', 'what number would count as a failure', plus the named load profiles — good coverage, not jargon-only.

Occupies a clear niche — deriving a runner-agnostic load-test plan from SLOs — with distinct triggers, so it is unlikely to fire for the wrong skill.