Automate backend API endpoints and webhooks with dual-mode test and prod parity.
npx skills add https://github.com/Uncodier/API --skill makinari-rol-backend
Please help me install this Agent Skill. Skill: makinari-rol-backend Source: https://github.com/Uncodier/API/tree/main/src/skills/makinari-rol-backend Command: npx skills add https://github.com/Uncodier/API --skill makinari-rol-backend
Backend teams need end-to-end API endpoints and webhook handlers that work in both test and production modes, with strict contract adherence and zero silent failures.
Deploy and test the dual-mode backend by calling endpoints with ?mode=test to verify deterministic responses, then switch to ?mode=prod for real data.
High-intent search queries and answers about installing and using this skill.
Dual-mode backend APIs switch behavior based on the ?mode=test or ?mode=prod parameter, providing deterministic test responses and real prod execution. This enforces strict contract parity across both environments without silent failures.
Webhook processing and API routes enforce idempotency, input validation, and structured logging to guarantee safety and auditability. Scaffolding routes under src/app/api ensures production-grade endpoints boot and return real data.
Scaffolding API routes under src/app/api in the Vercel Sandbox environment provides production-grade endpoints that boot and run. This approach applies to API contracts, DB migrations, and environment config discipline.
The dual-mode API approach provides deterministic, mock-free results in test mode while executing real data operations in prod mode. This satisfies requirements for strict contract adherence and zero silent failures across both modes.
Structured logging and DB migrations apply to webhook processing by enforcing environment and config discipline. This readiness ensures production-grade endpoints maintain auditability across test and prod modes.
Silent endpoint failures occur without strict dual-mode parity between test and prod. Applying input validation, idempotency, and structured logging enforces safety and auditability, eliminating zero silent failure scenarios.
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