muhammadabubakarbilal/deliverygap-engineering
Engineering workflow skills for DeliveryGap AI.
Audit DeliveryGap AI interfaces for semantic, keyboard, focus, form, contrast, motion, and WCAG 2.2 AA issues.
Build grounded requirement extraction, retrieval, classification, citation validation, and evaluation for DeliveryGap AI.
Design durable Redis/RQ processing, outbox dispatch, leases, retries, checkpoints, and idempotent jobs for DeliveryGap AI.
Coordinate DeliveryGap AI feature work across product, UX, backend, data, AI, security, QA, performance, and release skills.
Establish and apply a consistent accessible visual system for DeliveryGap AI interfaces.
Build reproducible DeliveryGap AI environments, Compose services, CI, migrations, secrets, health checks, and release procedures.
Implement bounded private document ingestion, parsing, canonical source spans, and citation resolution for DeliveryGap AI.
Design and implement DeliveryGap AI FastAPI endpoints, services, schemas, validation, and authorization boundaries.
Implement strict TypeScript Next.js App Router UI and API integration for DeliveryGap AI.
Add purposeful, accessible motion to DeliveryGap AI interactions and processing feedback.
Measure and improve DeliveryGap AI latency, query plans, rendering cost, retrieval workload, and operational throughput.
Design DeliveryGap AI PostgreSQL schemas, Alembic migrations, constraints, and concurrency-safe persistence.
Translate DeliveryGap AI product requirements into scoped feature specifications and acceptance criteria.
Verify DeliveryGap AI features through unit, integration, authorization, browser, recovery, and release tests.
Design DeliveryGap AI SaaS workflows, information architecture, and review experiences around real user tasks.
Review and harden DeliveryGap AI authentication, authorization, uploads, secrets, external providers, and trust boundaries.