What problem does it solve? Performance NFRs in a spec are unverified claims until a load test enforces them. This Skill turns latency, throughput, and availability targets into executable k6 tests with CI gates, so a p99 or error-rate breach fails the pipeline instead of reaching production. ## Core Features & Use Cases - NFR-aligned k6 script generation: Produces smoke, load, stress, spike, and soak test templates whose thresholds are pulled directly from the spec NFR table and SLO documents. - CI performance gates: Adds GitHub Actions jobs that run smoke tests on every PR and full load tests against staging after deployment, with non-zero exit on threshold breach. - Baseline reporting and review: Generates a performance baseline report comparing NFR targets to measured p95/p99 results, then dispatches a load-test-reviewer agent before committing. - Use Case: A spec states "p99 < 200ms at 500 RPS with 99.9% availability." Use this Skill to generate a k6 suite that runs at 500 RPS, fails CI when p99 exceeds 200ms, and adds a 2-hour soak test for the availability target. ## Quick Start Ask the AI to generate k6 load tests with thresholds matching the NFR targets in the current feature spec and wire them into the CI pipeline.
