AmysEcho

Apply Amy's Echo Amy-first delivery workflow for implementation and review tasks. Use when changing code, tests, or docs in this repository. Enforce discovery, planning, Amy-impact validation, and mandatory verification before merge.

Execute Amy's Echo model training workflows end-to-end with reproducible evidence. Use when changing trainer code, training metadata contracts, model artifact handling, few-shot evaluation, or release-readiness checks for training outputs.

Build and harden Amy's Echo backend APIs using Express 5 and Zod contracts. Use when adding or modifying server routes, middleware, request validation, auth/profile checks, error handling, and response-shape guarantees.

Protect Amy's Echo account-versus-profile identity boundaries. Use when working on auth, settings, profile switching, uploads, training sync, or API flows where session/token and profileId can diverge.

Implement and debug MediaPipe Tasks Vision gesture recognition in Amy's Echo webapp. Use when changing webcam capture, landmark extraction, gesture recognizer setup, model loading, runtime confidence logic, or detection diagnostics tied to MediaPipe behavior.

Diagnose and improve Amy's Echo web sign-language ML detection quality. Use when working on MediaPipe landmarks, MLP inference thresholds, confidence/margin behavior, detector telemetry, fixture diagnostics, or profile-aware recognition regressions.

Run Amy's Echo testing and quality gates with clear evidence reporting. Use when preparing a change for commit/PR, diagnosing regressions, or deciding the minimum safe check set for touched webapp, server, or integration areas.

Configure and enforce Vitest coverage quality gates for Amy's Echo webapp changes. Use when adding tests, tuning coverage thresholds, fixing flaky coverage regressions, or defining test include/exclude behavior in Vite/Vitest.